Xiang Ren

Orcid: 0000-0001-8655-663X

Affiliations:
  • University of Southern California, CA, USA
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA (former)


According to our database1, Xiang Ren authored at least 257 papers between 2012 and 2024.

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Bibliography

2024
Diverging Preferences: When do Annotators Disagree and do Models Know?
CoRR, 2024

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild.
CoRR, 2024

Rethinking Backdoor Detection Evaluation for Language Models.
CoRR, 2024

Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance.
CoRR, 2024

CAVE: Controllable Authorship Verification Explanations.
CoRR, 2024

Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations.
CoRR, 2024

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting.
CoRR, 2024

Logits of API-Protected LLMs Leak Proprietary Information.
CoRR, 2024

WinoViz: Probing Visual Properties of Objects Under Different States.
CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.
CoRR, 2024

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

WildChat: 1M ChatGPT Interaction Logs in the Wild.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tailoring Self-Rationalizers with Multi-Reward Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Symbolic Working Memory Enhances Language Models for Complex Rule Application.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Logic-Induced-Long-Tail (LINT).
Dataset, September, 2023

Hybrid forecasting of geopolitical events<sup>†</sup>.
AI Mag., March, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.
CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?
CoRR, 2023

DOMINO: A Dual-System for Multi-step Visual Language Reasoning.
CoRR, 2023

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.
CoRR, 2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.
CoRR, 2023

Knowledge-Augmented Methods for Natural Language Processing.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dataless Knowledge Fusion by Merging Weights of Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Estimating Large Language Model Capabilities without Labeled Test Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SCOTT: Self-Consistent Chain-of-Thought Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Cross-lingual Continual Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

REV: Information-Theoretic Evaluation of Free-Text Rationales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BITE: Textual Backdoor Attacks with Iterative Trigger Injection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On Grounded Planning for Embodied Tasks with Language Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
PairReranker: Pairwise Reranking for Natural Language Generation.
CoRR, 2022

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.
CoRR, 2022

KNIFE: Knowledge Distillation with Free-Text Rationales.
CoRR, 2022

CoNAL: Anticipating Outliers with Large Language Models.
CoRR, 2022

MMGA: Multimodal Learning with Graph Alignment.
CoRR, 2022

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.
CoRR, 2022

NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge.
CoRR, 2022

Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts.
CoRR, 2022

Textual Backdoor Attacks with Iterative Trigger Injection.
CoRR, 2022

RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning.
CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.
CoRR, 2022

Cross-lingual Lifelong Learning.
CoRR, 2022

Assessing Scientific Research Papers with Knowledge Graphs.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Unsupervised Cross-Task Generalization via Retrieval Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On the Robustness of Reading Comprehension Models to Entity Renaming.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.
Proceedings of the International Conference on Machine Learning, 2022

Contextualized Scene Imagination for Generative Commonsense Reasoning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Machine Translation Robustness to Natural Asemantic Variation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On Continual Model Refinement in Out-of-Distribution Data Streams.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.
CoRR, 2021

Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation.
CoRR, 2021

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.
CoRR, 2021

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction.
CoRR, 2021

Improving Counterfactual Generation for Fair Hate Speech Detection.
CoRR, 2021

Probing Causal Common Sense in Dialogue Response Generation.
CoRR, 2021

FedNLP: A Research Platform for Federated Learning in Natural Language Processing.
CoRR, 2021

Lifelong Learning of Few-shot Learners across NLP Tasks.
CoRR, 2021

On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation.
CoRR, 2021

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation.
CoRR, 2021

Social media polarization and echo chambers: A case study of COVID-19.
CoRR, 2021

Refining Neural Networks with Compositional Explanations.
CoRR, 2021

Modality-specific Distillation.
CoRR, 2021

Zero-shot Learning by Generating Task-specific Adapters.
CoRR, 2021

RiddleSense: Answering Riddle Questions as Commonsense Reasoning.
CoRR, 2021

Time-Series Event Prediction with Evolutionary State Graph.
Proceedings of the WSDM '21, 2021

Commonsense-Focused Dialogues for Response Generation: An Empirical Study.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Semi-automated protocol disambiguation and code generation.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Refining Language Models with Compositional Explanations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Differentiable Open-Ended Commonsense Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pre-training Text-to-Text Transformers for Concept-centric Common Sense.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
Proceedings of the 9th International Conference on Learning Representations, 2021

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Probing Commonsense Explanation in Dialogue Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

On the Influence of Masking Policies in Intermediate Pre-training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Discretized Integrated Gradients for Explaining Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

One-shot Learning for Temporal Knowledge Graphs.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Learning to Generate Task-Specific Adapters from Task Description.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Do Language Models Perform Generalizable Commonsense Inference?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Studying Strategically: Learning to Mask for Closed-book QA.
CoRR, 2020

DEER: A Data Efficient Language Model for Event Temporal Reasoning.
CoRR, 2020

Pre-training Text-to-Text Transformers for Concept-centric Common Sense.
CoRR, 2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR, 2020

Efficiently Mitigating Classification Bias via Transfer Learning.
CoRR, 2020

Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals.
CoRR, 2020

Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation.
CoRR, 2020

Gradient Based Memory Editing for Task-Free Continual Learning.
CoRR, 2020

Teaching Machine Comprehension with Compositional Explanations.
CoRR, 2020

ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions.
CoRR, 2020

Visually Grounded Continual Learning of Compositional Semantics.
CoRR, 2020

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models.
CoRR, 2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
CoRR, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
CoRR, 2020

Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci., 2020

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning from Explanations with Neural Execution Tree.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

Teaching Machine Comprehension with Compositional Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Visually Grounded Continual Learning of Compositional Phrases.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Facet-Aware Evaluation for Extractive Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Screenplay Quality Assessment: Can We Predict Who Gets Nominated?
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2019
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning.
CoRR, 2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.
CoRR, 2019

Facet-Aware Evaluation for Extractive Text Summarization.
CoRR, 2019

Raw-to-End Name Entity Recognition in Social Media.
CoRR, 2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs.
CoRR, 2019

Modeling Combinatorial Evolution in Time Series Prediction.
CoRR, 2019

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs.
CoRR, 2019

Cross-type biomedical named entity recognition with deep multi-task learning.
Bioinform., 2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.
Proceedings of the World Wide Web Conference, 2019

Learning Dual Retrieval Module for Semi-supervised Relation Extraction.
Proceedings of the World Wide Web Conference, 2019

Integrating Local Context and Global Cohesiveness for Open Information Extraction.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019.
Proceedings of the 2019 Text Analysis Conference, 2019

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Dynamic Context Augmentation for Global Entity Linking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

HMEAE: Hierarchical Modular Event Argument Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hierarchical Text Classification with Reinforced Label Assignment.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

KCAT: A Knowledge-Constraint Typing Annotation Tool.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Mining Entity Synonyms with Efficient Neural Set Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01912-8, 2018

Automated Phrase Mining from Massive Text Corpora.
IEEE Trans. Knowl. Data Eng., 2018

Integrating Local Context and Global Cohesiveness for Open Information Extraction.
CoRR, 2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
CoRR, 2018

GraphRNN: A Deep Generative Model for Graphs.
CoRR, 2018

Open Information Extraction with Global Structure Constraints.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Indirect Supervision for Relation Extraction using Question-Answer Pairs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

First Workshop on Knowledge Base Construction, Mining and Reasoning.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Two Step Joint Model for Drug Drug Interaction Extraction.
Proceedings of the 2018 Text Analysis Conference, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable Construction and Reasoning of Massive Knowledge Bases.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Named Entity Tagger using Domain-Specific Dictionary.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Open-Schema Event Profiling for Massive News Corpora.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Dynamic Network Embedding by Modeling Triadic Closure Process.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Empower Sequence Labeling with Task-Aware Neural Language Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach.
CoRR, 2017

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems.
Big Data, 2017

Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases.
Proceedings of the 26th International Conference on World Wide Web, 2017

Constructing Structured Information Networks from Massive Text Corpora.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Comparative Document Analysis for Large Text Corpora.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Building Structured Databases of Factual Knowledge from Massive Text Corpora.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Automatic Synonym Discovery with Knowledge Bases.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Texture Repairing by Unified Low Rank Optimization.
J. Comput. Sci. Technol., 2016

Automatic Entity Recognition and Typing in Massive Text Corpora.
Proceedings of the 25th International Conference on World Wide Web, 2016

Representing Documents via Latent Keyphrase Inference.
Proceedings of the 25th International Conference on World Wide Web, 2016

Automatic Entity Recognition and Typing in Massive Text Data.
Proceedings of the 2016 International Conference on Management of Data, 2016


Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Synonym Discovery for Structured Entities on Heterogeneous Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Mining Quality Phrases from Massive Text Corpora.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Personalized entity recommendation: a heterogeneous information network approach.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

NewsNetExplorer: automatic construction and exploration of news information networks.
Proceedings of the International Conference on Management of Data, 2014

Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

ClusCite: effective citation recommendation by information network-based clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures.
Int. J. Comput. Vis., 2013

Recommendation in heterogeneous information networks with implicit user feedback.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Semantic Frame-Based Document Representation for Comparable Corpora.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Repairing Sparse Low-Rank Texture.
Proceedings of the Computer Vision - ECCV 2012, 2012


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