Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models.

[DOI]

Yi-Lin Sung

Jaehong Yoon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models.

[DOI]

Archiki Prasad

Elias Stengel-Eskin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks.

[DOI]

Vaidehi Patil

Proceedings of the Twelfth International Conference on Learning Representations, 2024

D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning.

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge-Aware Reasoning over Multimodal Semi-structured Tables.

[DOI]

Suyash Vardhan Mathur

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints.

[DOI]

Thomas Palmeira Ferraz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM.

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Simple LLM Framework for Long-Range Video Question-Answering.

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training.

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Unified Embeddings for Multimodal Retrieval via Frozen LLMs.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multimodal Representation Learning by Alternating Unimodal Adaptation.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Soft Self-Consistency Improves Language Models Agents.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset.

[DOI]

Vaidehi Patil

Leonardo F. R. Ribeiro

Mengwen Liu

Markus Dreyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Very Long-Term Conversational Memory of LLM Agents.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Power of Summary-Source Alignments.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.

[DOI]

Justin Chih-Yao Chen

Giambattista Parascandolo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation.

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

[DOI]

Bartlomiej Bojanowski

Christopher D. Manning

Daniel Moseguí González

Eunice Engefu Manyasi

Evgenii Zheltonozhskii

Fanyue Xia

Fatemeh Siar

Fernando Martínez-Plumed

Giorgio Mariani

Gloria Wang

Gonzalo Jaimovitch-López

Jaime Fernández Fisac

Jascha Sohl-Dickstein

José Hernández-Orallo

Karthik Gopalakrishnan

Lidia Contreras Ochando

Louis-Philippe Morency

María José Ramírez-Quintana

Michael I. Ivanitskiy

Neta Gur-Ari Krakover

Nitish Shirish Keskar

Pablo Antonio Moreno Casares

Pegah Alipoormolabashi

Shyamolima (Shammie) Debnath

Sneha Priscilla Makini

Yadollah Yaghoobzadeh

Trans. Mach. Learn. Res., 2023

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP.

[DOI]

Trans. Assoc. Comput. Linguistics, 2023

Merging by Matching Models in Task Subspaces.

[DOI]

Derek Tam

Colin Raffel

CoRR, 2023

ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization.

[DOI]

CoRR, 2023

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning.

[DOI]

CoRR, 2023

D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning.

[DOI]

CoRR, 2023

VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning.

[DOI]

CoRR, 2023

Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind.

[DOI]

CoRR, 2023

Resolving Interference When Merging Models.

[DOI]

CoRR, 2023

Visual Programming for Text-to-Image Generation and Evaluation.

[DOI]

CoRR, 2023

PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention.

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?

[DOI]

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Self-Chained Image-Language Model for Video Localization and Question Answering.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects.

[DOI]

Zhuofan Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TIES-Merging: Resolving Interference When Merging Models.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Paxion: Patching Action Knowledge in Video-Language Foundation Models.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Any-to-Any Generation via Composable Diffusion.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Conditional and Compositional Language Model Differentiable Prompting.

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees.

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unified Coarse-to-Fine Alignment for Video-Text Retrieval.

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scaling Data Generation in Vision-and-Language Navigation.

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models.

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data Factors for Better Compositional Generalization.

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HistAlign: Improving Context Dependency in Language Generation by Aligning with History.

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Empirical Study of Multimodal Model Merging.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Summaries with Controllable Readability Levels.

[DOI]

Leonardo F. R. Ribeiro

Markus Dreyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness.

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Debiasing Multimodal Models via Causal Information Minimization.

[DOI]

Vaidehi Patil

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Faithfulness-Aware Decoding Strategies for Abstractive Summarization.

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models.

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models.

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis.

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Social Commonsense for Explanation and Cultural Bias Discovery.

[DOI]

Hanna Tischer

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Hierarchical Video-Moment Retrieval and Step-Captioning.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying Vision, Text, and Layout for Universal Document Processing.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Vision Transformers are Parameter-Efficient Audio-Visual Learners.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Vision-and-Language Navigation by Generating Future-View Image Semantics.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VindLU: A Recipe for Effective Video-and-Language Pretraining.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SentiNet: Empowering Robust Loan Default Prediction through Ensemble Modeling.

[DOI]

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2023

Non-Sequential Graph Script Induction via Multimedia Grounding.

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies.

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization.

[DOI]

Murali Krishna Ramanathan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring Continual Learning for Code Generation Models.

[DOI]

Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Exclusive Supermask Subnetwork Training for Continual Learning.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Evaluating the Factual Consistency of Large Language Models Through News Summarization.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MeetingQA: Extractive Question-Answering on Meeting Transcripts.

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revealing Single Frame Bias for Video-and-Language Learning.

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach.

[DOI]

Aakash Gupta

Int. J. Softw. Innov., 2022

Spoken language interaction with robots: Recommendations for future research.

[DOI]

Comput. Speech Lang., 2022

Evaluating the Factual Consistency of Large Language Models Through Summarization.

[DOI]

CoRR, 2022

SETSum: Summarization and Visualization of Student Evaluations of Teaching.

[DOI]

CoRR, 2022

Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.

[DOI]

CoRR, 2022

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval.

[DOI]

CoRR, 2022

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers.

[DOI]

CoRR, 2022

VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives.

[DOI]

Zhuofan Ying

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TVLT: Textless Vision-Language Transformer.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning.

[DOI]

Yi-Lin Sung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Interactive Query-Assisted Summarization via Deep Reinforcement Learning.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.

[DOI]

Leonardo F. R. Ribeiro

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multimodal Intent Discovery from Livestream Videos.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

On Curriculum Learning for Commonsense Reasoning.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Proposition-Level Clustering for Multi-Document Summarization.

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Efficient Few-Shot Fine-Tuning for Opinion Summarization.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Fine-grained Image Captioning with CLIP Reward.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

How Much Can CLIP Benefit Vision-and-Language Tasks?

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Evaluating and Improving Factuality in Multimodal Abstractive Summarization.

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations.

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality.

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Analyzing the Limits of Self-Supervision in Handling Bias in Language.

[DOI]

Karthik Gopalakrishnan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments.

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation.

[DOI]

Darryl Hannan

Proceedings of the Computer Vision - ECCV 2022, 2022

EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks.

[DOI]

Yi-Lin Sung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Envedit: Environment Editing for Vision-and-Language Navigation.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning.

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution.

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?

[DOI]

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language.

[DOI]

Benjamin Frey

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning.

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets.

[DOI]

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

Scientific Chart Summarization: Datasets and Improved Text Modeling.

[DOI]

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

CAISE: Conversational Agent for Image Search and Editing.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.

[DOI]

CoRR, 2021

MLP Architectures for Vision-and-Language Modeling: An Empirical Study.

[DOI]

CoRR, 2021

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs.

[DOI]

CoRR, 2021

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions.

[DOI]

CoRR, 2021

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries.

[DOI]

CoRR, 2021

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning.

[DOI]

CoRR, 2021

Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals.

[DOI]

Harry Xie

CoRR, 2021

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.

[DOI]

CoRR, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.

[DOI]

Karan Goel

Nazneen Fatema Rajani

CoRR, 2021

Disentangling Online Chats with DAG-structured LSTMs.

[DOI]

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation.

[DOI]

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Detecting Moments and Highlights in Videos via Natural Language Queries.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations.

[DOI]

Harry Xie

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization.

[DOI]

Zineng Tang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Generation and Evaluation of Visual Stories via Semantic Consistency.

[DOI]

Darryl Hannan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynabench: Rethinking Benchmarking in NLP.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.

[DOI]

Karan Goel

Nazneen Fatema Rajani

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Unifying Vision-and-Language Tasks via Text Generation.

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Finding a Balanced Degree of Automation for Summary Evaluation.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving and Simplifying Pattern Exploiting Training.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Continual Few-Shot Learning for Text Classification.

[DOI]

Veselin Stoyanov

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning and Analyzing Generation Order for Undirected Sequence Models.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Hidden Biases in Unreliable News Detection Datasets.

[DOI]

Christos Christodoulopoulos

Heba Elfardy

Thomas Butler

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks.

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling.

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline.

[DOI]

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

To what extent do human explanations of model behavior align with actual model behavior?

[DOI]

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback.

[DOI]

Benjamin Frey

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

EmailSum: Abstractive Email Thread Summarization.

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Continuous Language Generative Flow.

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling.

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

mTVR: Multilingual Moment Retrieval in Videos.

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection.

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Analysis of Tree-Structured Architectures for Code Generation.

[DOI]

Samip Dahal

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI.

[DOI]

Lingjia Deng

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

Dual Reinforcement-Based Specification Generation for Image De-Rendering.

[DOI]

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

FIXMYPOSE: Pose Correctional Captioning and Retrieval.

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evaluating Interactive Summarization: an Expansion-Based Framework.

[DOI]

CoRR, 2020

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks.

[DOI]

CoRR, 2020

Diagnosing the Environment Bias in Vision-and-Language Navigation.

[DOI]

Yubo Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning.

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization.

[DOI]

Benjamin Frey

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PRover: Proof Generation for Interpretable Reasoning over Rules.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DORB: Dynamically Optimizing Multiple Rewards with Bandits.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FENAS: Flexible and Expressive Neural Architecture Search.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What is More Likely to Happen Next? Video-and-Language Future Event Prediction.

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval.

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Robustifying NLI Models Against Lexical Dataset Biases.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Adversarial NLI: A New Benchmark for Natural Language Understanding.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

TVQA+: Spatio-Temporal Grounding for Video Question Answering.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA.

[DOI]

Zineng Tang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modality-Balanced Models for Visual Dialogue.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs.

[DOI]

Darryl Hannan

Akshay Jain

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout.

[DOI]

Licheng Yu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning.

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping.

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering.

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Automatically Learning Data Augmentation Policies for Dialogue Tasks.

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale.

[DOI]

Songhe Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning.

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Target Embodied Question Answering.

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Medical Visual Question Answering at Image CLEF 2019- VQA Med.

[DOI]

Proceedings of the Working Notes of CLEF 2019, 2019

PaperRobot: Incremental Draft Generation of Scientific Ideas.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Expressing Visual Relationships via Language.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Continual and Multi-Task Architecture Search.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Visual Question Answering by Referring to Generated Paragraph Captions.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA.

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Analyzing Compositionality-Sensitivity of NLI Models.

[DOI]

Yicheng Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Combining Fact Extraction and Verification with Neural Semantic Matching Networks.

[DOI]

Haonan Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Polite Dialogue Generation Without Parallel Data.

[DOI]

Trans. Assoc. Comput. Linguistics, 2018

Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression.

[DOI]

Ke Wang

Jan-Michael Frahm

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Robust Machine Comprehension Models via Adversarial Training.

[DOI]

Yicheng Wang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information.

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Object Ordering with Bidirectional Matchings for Visual Reasoning.

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multi-Reward Reinforced Summarization with Saliency and Entailment.

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models.

[DOI]

Sweta Karlekar

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Punny Captions: Witty Wordplay in Image Descriptions.

[DOI]

Arjun Chandrasekaran

Devi Parikh

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Incorporating Background Knowledge into Video Description Generation.

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Game-Based Video-Context Dialogue.

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

TVQA: Localized, Compositional Video Question Answering.

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories.

[DOI]

Sweta Karlekar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Closed-Book Training to Improve Summarization Encoder Memory.

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Commonsense for Generative Multi-Hop Question Answering Tasks.

[DOI]

Yicheng Wang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MAttNet: Modular Attention Network for Referring Expression Comprehension.

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models.

[DOI]

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification.

[DOI]

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation.

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting.

[DOI]

Yen-Chun Chen

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Source-Target Inference Models for Spatial Instruction Understanding.

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing.

[DOI]

CoRR, 2017

Generating Realtime Motion Plans from Complex Natural Language Commands Using Dynamic Grounding Graphs.

[DOI]

CoRR, 2017

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference.

[DOI]

Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation.

[DOI]

Andrea F. Daniele

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Hierarchically-Attentive RNN for Album Summarization and Storytelling.

[DOI]

Licheng Yu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Towards Improving Abstractive Summarization via Entailment Generation.

[DOI]

Proceedings of the Workshop on New Frontiers in Summarization, 2017

Reinforced Video Captioning with Entailment Rewards.

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Video Highlight Prediction Using Audience Chat Reactions.

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions.

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-Task Video Captioning with Video and Entailment Generation.

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Coherent Dialogue with Attention-Based Language Models.

[DOI]

Hongyuan Mei

Pranava Swaroop Madhyastha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Contextual RNN-GANs for Abstract Reasoning Diagram Generation.

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Towards Universal Paraphrastic Sentence Embeddings.

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Mapping Unseen Words to Task-Trained Embedding Spaces.

[DOI]

Kevin Gimpel

Karen Livescu

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

The Role of Context Types and Dimensionality in Learning Word Embeddings.

[DOI]

Proceedings of the NAACL HLT 2016, 2016

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.

[DOI]

Hongyuan Mei

Proceedings of the NAACL HLT 2016, 2016

Charagram: Embedding Words and Sentences via Character n-grams.

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions.

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Who did What: A Large-Scale Person-Centered Cloze Dataset.

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Interpreting Neural Networks to Improve Politeness Comprehension.

[DOI]

Malika Aubakirova

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Sort Story: Sorting Jumbled Images and Captions into Stories.

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

We are Humor Beings: Understanding and Predicting Visual Humor.

[DOI]

Arjun Chandrasekaran

Ashwin K. Vijayakumar

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures.

[DOI]

Makoto Miwa

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.

[DOI]

Hongyuan Mei

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

From Paraphrase Database to Compositional Paraphrase Model and Back.

[DOI]

Trans. Assoc. Comput. Linguistics, 2015

A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment.

[DOI]

Trans. Assoc. Comput. Linguistics, 2015

Articulated Motion Learning via Visual and Lingual Signals.

[DOI]

Zhengyang Wu

CoRR, 2015

Web-scale Surface and Syntactic n-gram Features for Dependency Parsing.

[DOI]

Dominick Ng

James R. Curran

CoRR, 2015

Accurate Vision-based Vehicle Localization using Satellite Imagery.

[DOI]

CoRR, 2015

Deep Multilingual Correlation for Improved Word Embeddings.

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Dependency Link Embeddings: Continuous Representations of Syntactic Substructures.

[DOI]

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Machine Comprehension with Syntax, Frames, and Semantics.

[DOI]

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation.

[DOI]

Kevin Gimpel

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

What Are You Talking About? Text-to-Image Coreference.

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Tailoring Continuous Word Representations for Dependency Parsing.

[DOI]

Kevin Gimpel

Karen Livescu

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Structured Learning for Taxonomy Induction with Belief Propagation.

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Surface Web Semantics for Structured Natural Language Processing.

[DOI]

PhD thesis, 2013

Good, Great, Excellent: Global Inference of Semantic Intensities.

[DOI]

Gerard de Melo

Trans. Assoc. Comput. Linguistics, 2013

2012

Estimating hybrid frequency moments of data streams.

[DOI]

Sumit Ganguly

Shruti Dube

J. Comb. Optim., 2012

Unsupervised Translation Sense Clustering.

[DOI]

John DeNero

Dekang Lin

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Coreference Semantics from Web Features.

[DOI]

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Mention Detection: Heuristics for the OntoNotes annotations.

[DOI]

Jonathan K. Kummerfeld

David Burkett

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Gappy Phrasal Alignment By Agreement.

[DOI]

Chris Quirk

Robert C. Moore

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

The Surprising Variance in Shortest-Derivation Parsing.

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Web-Scale Features for Full-Scale Parsing.

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Simple, Accurate Parsing with an All-Fragments Grammar.

[DOI]

Proceedings of the ACL 2010, 2010

2009

Efficient Parsing for Transducer Grammars.

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008

The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework.

[DOI]