Jackie Chi Kit Cheung

According to our database1, Jackie Chi Kit Cheung authored at least 121 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
When is an Embedding Model More Promising than Another?
CoRR, 2024

Mechanisms of non-factual hallucinations in language models.
CoRR, 2024

Analyzing Task-Encoding Tokens in Large Language Models.
CoRR, 2024

Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Successor Features for Efficient Multi-Subject Controlled Text Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Ensemble Distillation for Unsupervised Constituency Parsing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Controlled Reevaluation of Coreference Resolution Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ECBD: Evidence-Centered Benchmark Design for NLP.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Successor Features for Efficient Multisubject Controlled Text Generation.
CoRR, 2023

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.
CoRR, 2023

Investigating Failures to Generalize for Coreference Resolution Models.
CoRR, 2023

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation.
CoRR, 2023

Systematic Rectification of Language Models via Dead-end Analysis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Balaur: Language Model Pretraining with Lexical Semantic Relations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

How Useful Are Educational Questions Generated by Large Language Models?
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Varta: A Large-Scale Headline-Generation Dataset for Indic Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems.
CoRR, 2022

MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification.
CoRR, 2022

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning with Rejection for Abstractive Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Source-summary Entity Aggregation in Abstractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Question Personalization in an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Characterizing Idioms: Conventionality and Contingency.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
CoRR, 2021

The Topic Confusion Task: A Novel Scenario for Authorship Attribution.
CoRR, 2021

On-the-Fly Attention Modularization for Neural Generation.
CoRR, 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Modeling Event Plausibility with Consistent Conceptual Abstraction.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Post-Editing Extractive Summaries by Definiteness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Textual Time Travel: A Temporally Informed Approach to Theory of Mind.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Optimizing Deeper Transformers on Small Datasets.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ADEPT: An Adjective-Dependent Plausibility Task.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On-the-Fly Attention Modulation for Neural Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Lexical Subspaces in a Distributional Vector Space.
Trans. Assoc. Comput. Linguistics, 2020

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
CoRR, 2020

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization.
CoRR, 2020

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

On Variational Learning of Controllable Representations for Text without Supervision.
Proceedings of the 37th International Conference on Machine Learning, 2020

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deconstructing word embedding algorithms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-Fact Correction in Abstractive Text Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Factual Error Correction for Abstractive Summarization Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Analysis of Dataset Overlap on Winograd-Style Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Deconstructing and reconstructing word embedding algorithms.
CoRR, 2019

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text.
CoRR, 2019

Preventing Posterior Collapse in Sequence VAEs with Pooling.
CoRR, 2019

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.
CoRR, 2019

What comes next? Extractive summarization by next-sentence prediction.
CoRR, 2019

Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Referring Expression Generation Using Entity Profiles.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Cross-Domain Transferable Neural Coherence Model.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Generating Character Descriptions for Automatic Summarization of Fiction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Multi-Task Communication with Message Passing for Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Contextualized Non-Local Neural Networks for Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
CoRR, 2018

Multi-task Learning over Graph Structures.
CoRR, 2018

On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
CoRR, 2018

The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.
CoRR, 2018

Commonsense mining as knowledge base completion? A study on the impact of novelty.
CoRR, 2018

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Coarse Lexical Frame Acquisition at the Syntax-Semantics Interface Using a Latent-Variable PCFG Model.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Constructing a Lexicon of Relational Nouns.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Hierarchical Neural Attention-based Text Classifier.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Knowledge Hunting Framework for Common Sense Reasoning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

BanditSum: Extractive Summarization as a Contextual Bandit.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Predicting Success in Goal-Driven Human-Human Dialogues.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Nifty Assignments.
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Detecting Large Concept Extensions for Conceptual Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2016
Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs.
Proceedings of the COLING 2016, 2016

Predicting sentential semantic compatibility for aggregation in text-to-text generation.
Proceedings of the COLING 2016, 2016

Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Accurate Pinyin-English Codeswitched Language Identification.
Proceedings of the Second Workshop on Computational Approaches to Code Switching@EMNLP 2016, 2016

2015
Distributional Semantics for Robust Automatic Summarization.
PhD thesis, 2015

Indicative Tweet Generation: An Extractive Summarization Problem?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities.
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

2014
Unsupervised Sentence Enhancement for Automatic Summarization.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Multi-Document Summarization of Evaluative Text.
Comput. Intell., 2013

Probabilistic Frame Induction.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Sequence clustering and labeling for unsupervised query intent discovery.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Unsupervised Detection of Downward-Entailing Operators By Maximizing Classification Certainty.
Proceedings of the EACL 2012, 2012

Evaluating Distributional Models of Semantics for Syntactically Invariant Inference.
Proceedings of the EACL 2012, 2012

2010
Utilizing Extra-Sentential Context for Parsing.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Entity-Based Local Coherence Modelling Using Topological Fields.
Proceedings of the ACL 2010, 2010

2009
Topological Field Parsing of German.
Proceedings of the ACL 2009, 2009

2008
Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality.
Proceedings of the INLG 2008, 2008


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