Shafiq R. Joty

Orcid: 0000-0002-9222-2641

Affiliations:
  • Salesforce AI Research, Palo Alto, CA, USA
  • Nanyang Technological University, Singapore
  • Hamad Bin Khalifa University, Qatar Computing Research Institute, Qatar
  • University of British Columbia, Department of Computer Science, Vancouver, Canada


According to our database1, Shafiq R. Joty authored at least 273 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge.
IEEE Trans. Knowl. Data Eng., November, 2024

<tt>L2CEval</tt>: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
Trans. Assoc. Comput. Linguistics, 2024

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking.
CoRR, 2024

On Positional Bias of Faithfulness for Long-form Summarization.
CoRR, 2024

ReIFE: Re-evaluating Instruction-Following Evaluation.
CoRR, 2024

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".
CoRR, 2024

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models.
CoRR, 2024

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
CoRR, 2024

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.
CoRR, 2024

Direct Judgement Preference Optimization.
CoRR, 2024

SFR-RAG: Towards Contextually Faithful LLMs.
CoRR, 2024

LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs.
CoRR, 2024

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts.
CoRR, 2024

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
CoRR, 2024

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild.
CoRR, 2024

Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework.
CoRR, 2024

Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions.
CoRR, 2024

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
CoRR, 2024

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library.
CoRR, 2024

ParaICL: Towards Robust Parallel In-Context Learning.
CoRR, 2024

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
CoRR, 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
CoRR, 2024

BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.
CoRR, 2024

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Lifelong Event Detection with Embedding Space Separation and Compaction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Exploring Self-supervised Logic-enhanced Training for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evaluating Psychological Safety of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024


Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Explaining Language Model Predictions with High-Impact Concepts.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Diffusion Model Alignment Using Direct Preference Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

On Context Utilization in Summarization with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
PIANO: Influence Maximization Meets Deep Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst., 2023

Improving In-context Learning via Bidirectional Alignment.
CoRR, 2023

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization.
CoRR, 2023

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.
CoRR, 2023

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
CoRR, 2023

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
CoRR, 2023

On Position Bias in Summarization with Large Language Models.
CoRR, 2023

Hierarchical Evaluation Framework: Best Practices for Human Evaluation.
CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR, 2023

XGen-7B Technical Report.
CoRR, 2023

Exploring the Integration Strategies of Retriever and Large Language Models.
CoRR, 2023

PromptSum: Parameter-Efficient Controllable Abstractive Summarization.
CoRR, 2023

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
CoRR, 2023

Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain.
CoRR, 2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR, 2023

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.
CoRR, 2023

LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models.
CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications.
CoRR, 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
CoRR, 2023

Explaining Language Models' Predictions with High-Impact Concepts.
CoRR, 2023

A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets.
CoRR, 2023

xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.
CoRR, 2023

Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation.
CoRR, 2023

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Summarization Re-ranking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Is GPT-3 a Good Data Annotator?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning.
CoRR, 2022

Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.
CoRR, 2022

Is GPT-3 a Good Data Annotator?
CoRR, 2022

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems.
CoRR, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR, 2022

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model.
CoRR, 2022

LANTERN: Boredom-conscious Natural Language Description Generation of Query Execution Plans for Database Education.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SleepQA: A Health Coaching Dataset on Sleep for Extractive Question Answering.
Proceedings of the Machine Learning for Health, 2022

GradMask: Gradient-Guided Token Masking for Textual Adversarial Example Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Summary Candidates Fusion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Data Selection Curriculum for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

OpenCQA: Open-ended Question Answering with Charts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Label Modular Prompts for Text Classification in the Wild.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CoHS-CQG: Context and History Selection for Conversational Question Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Chart-to-Text: A Large-Scale Benchmark for Chart Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

UNISON: Unpaired Cross-Lingual Image Captioning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Knowledge Based Multilingual Language Model.
CoRR, 2021

Cascaded Fast and Slow Models for Efficient Semantic Code Search.
CoRR, 2021

Remember What You have drawn: Semantic Image Manipulation with Memory.
CoRR, 2021

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning.
CoRR, 2021

Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Addressing the Vulnerability of NMT in Input Perturbations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

RST Parsing from Scratch.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cross-model Back-translated Distillation for Unsupervised Machine Translation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Preventing Early Endpointing for Online Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Unified Speaker Adaptation Approach for ASR.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Effective Fine-Tuning Methods for Cross-lingual Adaptation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

GeDi: Generative Discriminator Guided Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Span-level Emotion Cause Analysis with Neural Sequence Tagging.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

A Conditional Splitting Framework for Efficient Constituency Parsing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

AugVic: Exploiting BiText Vicinity for Low-Resource NMT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots.
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021

2020
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks.
ACM Trans. Intell. Syst. Technol., 2020

Video captioning with boundary-aware hierarchical language decoding and joint video prediction.
Neurocomputing, 2020

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks.
CoRR, 2020

Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation.
CoRR, 2020

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding.
CoRR, 2020

CohEval: Benchmarking Coherence Models.
CoRR, 2020

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation.
CoRR, 2020

MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP.
CoRR, 2020

Unsupervised Word Translation with Adversarial Autoencoder.
Comput. Linguistics, 2020

Data Diversification: A Simple Strategy For Neural Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Relationship Probing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cross Attention with Monotonic Alignment for Speech Transformer.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Universal Speech Transformer.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Speech Transformer with Speaker Aware Persistent Memory.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Tree-Structured Attention with Hierarchical Accumulation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Online Conversation Disentanglement with Pointer Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VD-BERT: A Unified Vision and Dialog Transformer with BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Response Selection for Multi-Party Conversations with Dynamic Topic Tracking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning.
Proceedings of the Computer Vision - ECCV 2020, 2020

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Differentiable Window for Dynamic Local Attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Efficient Constituency Parsing by Pointing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Zero-Resource Cross-Lingual Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Resurrecting Submodularity in Neural Abstractive Summarization.
CoRR, 2019

Data Diversification: An Elegant Strategy For Neural Machine Translation.
CoRR, 2019

NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education.
Proceedings of the 2019 International Conference on Management of Data, 2019

Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Watch It Twice: Video Captioning with a Refocused Video Encoder.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Unpaired Image Captioning via Scene Graph Alignments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Factorial Deep Markov Model for Unsupervised Disentangled Representation Learning from Speech.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Unified Neural Coherence Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hierarchical Pointer Net Parsing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using Clinical Notes with Time Series Data for ICU Management.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Discourse Analysis and Its Applications.
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, 2019

Adversarial Unsupervised Representation Learning for Activity Time-Series.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Distributed Representations of Tuples for Entity Resolution.
Proc. VLDB Endow., 2018

Phrase-Based Attentions.
CoRR, 2018

Reuse and Adaptation for Entity Resolution through Transfer Learning.
CoRR, 2018

Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF.
CoRR, 2018

Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes.
CoRR, 2018

Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach.
Comput. Linguistics, 2018

SegBot: A Generic Neural Text Segmentation Model with Pointer Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Discourse Processing and Its Applications in Text Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unpaired Image Captioning by Language Pivoting.
Proceedings of the Computer Vision - ECCV 2018, 2018

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

NLP for Conversations: Sentiment, Summarization, and Group Dynamics.
Proceedings of the COLING 2018, 2018

ANR: Aspect-based Neural Recommender.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Domain Adaptation with Adversarial Training and Graph Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Domain adaptation using neural network joint model.
Comput. Speech Lang., 2017

Machine translation evaluation with neural networks.
Comput. Speech Lang., 2017

Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning.
CoRR, 2017

DeepER - Deep Entity Resolution.
CoRR, 2017

Thread Reconstruction in Conversational Data using Neural Coherence Models.
CoRR, 2017

Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering.
CoRR, 2017

Discourse Structure in Machine Translation Evaluation.
Comput. Linguistics, 2017

Cross-Language Question Re-Ranking.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

CQAVis: Visual Text Analytics for Community Question Answering.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Cross-language Learning with Adversarial Neural Networks.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Regularized and Retrofitted models for Learning Sentence Representation with Context.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Neural Local Coherence Model.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Impact of Physical Activity on Sleep: A Deep Learning Based Exploration.
CoRR, 2016

Dis-S2V: Discourse Informed Sen2Vec.
CoRR, 2016

Applications of Online Deep Learning for Crisis Response Using Social Media Information.
CoRR, 2016

Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks.
CoRR, 2016

Addressing Community Question Answering in English and Arabic.
CoRR, 2016

ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Joint Learning with Global Inference for Comment Classification in Community Question Answering.
Proceedings of the NAACL HLT 2016, 2016

An Interactive System for Exploring Community Question Answering Forums.
Proceedings of the COLING 2016, 2016

A Deep Fusion Model for Domain Adaptation in Phrase-based MT.
Proceedings of the COLING 2016, 2016

Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
CODRA: A Novel Discriminative Framework for Rhetorical Analysis.
Comput. Linguistics, 2015

QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Using joint models or domain adaptation in statistical machine translation.
Proceedings of Machine Translation Summit XV: Papers, 2015

Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Global Thread-level Inference for Comment Classification in Community Question Answering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Pairwise Neural Machine Translation Evaluation.
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

Thread-Level Information for Comment Classification in Community Question Answering.
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
DiscoTK: Using Discourse Structure for Machine Translation Evaluation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Semantic Kernels for Semantic Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Discriminative Reranking of Discourse Parses Using Tree Kernels.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning to Differentiate Better from Worse Translations.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling.
Proceedings of the COLING 2014, 2014

Using Discourse Structure Improves Machine Translation Evaluation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Topic Segmentation and Labeling in Asynchronous Conversations.
J. Artif. Intell. Res., 2013

Dialogue Act Recognition in Synchronous and Asynchronous Conversations.
Proceedings of the SIGDIAL 2013 Conference, 2013

Towards Topic Labeling with Phrase Entailment and Aggregation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A Novel Discriminative Framework for Sentence-Level Discourse Analysis.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels.
Inf. Process. Manag., 2011

Unsupervised Modeling of Dialog Acts in Asynchronous Conversations.
Proceedings of the IJCAI 2011, 2011

Supervised Topic Segmentation of Email Conversations.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Exploiting Conversational Features to Detect High-Quality Blog Comments.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Complex Question Answering: Unsupervised Learning Approaches and Experiments.
J. Artif. Intell. Res., 2009

A SVM-Based Ensemble Approach to Multi-Document Summarization.
Proceedings of the Advances in Artificial Intelligence, 2009

Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
Proceedings of the ACL 2009, 2009

2008
The University of British Columbia at TAC 2008.
Proceedings of the First Text Analysis Conference, 2008

UofL at TAC 2008 Update Summarization and Question Answering.
Proceedings of the First Text Analysis Conference, 2008

Answering Complex Questions Using Query-Focused Summarization Technique.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Exploiting Syntactic and Shallow Semantic Kernels to Improve Random Walks for Complex Question Answering.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Unsupervised Approach for Selecting Sentences in Query-based Summarization.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Selecting Sentences for Answering Complex Questions.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Improving the Performance of the Random Walk Model for Answering Complex Questions.
Proceedings of the ACL 2008, 2008

2007
University of Lethbridge's Participation in TREC 2007 QA Track.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

UofL: Word Sense Disambiguation Using Lexical Cohesion.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007


  Loading...