2021-11 The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution
Post-Editing Extractive Summaries by Definiteness Prediction.
Textual Time Travel: A Temporally Informed Approach to Theory of Mind.
2021-08 Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
ADEPT: An Adjective-Dependent Plausibility Task
On-the-Fly Attention Modulation for Neural Generation
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut,
Jackie Chi Kit Cheung and Yejin Choi
Optimizing Deeper Transformers on Small Datasets
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang,
Jackie Chi Kit Cheung , Simon J.D. Prince and Yanshuai Cao
2021-07 TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
2021-04 Modeling Event Plausibility with Consistent Conceptual Abstraction.
Characterizing Idioms: Conventionality and Contingency.
The Topic Confusion Task: A Novel Scenario for Authorship Attribution.
Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
2021-02 Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire and
Jackie Chi Kit Cheung
2021-01 On-the-Fly Attention Modularization for Neural Generation
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut,
Jackie Chi Kit Cheung and Yejin Choi
2020-12 Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
Optimizing Deeper Transformers on Small Datasets
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang,
Jackie Chi Kit Cheung , Simon J.D. Prince and Yanshuai Cao
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
An Analysis of Dataset Overlap on Winograd-Style Tasks
2020-11 SYSTEM AND METHOD FOR CONTROLLABLE MACHINE TEXT GENERATION ARCHITECTURE
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH VARIATIONAL AUTOENCODER POOLING
An Analysis of Dataset Overlap on Winograd-Style Tasks.
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
Deconstructing word embedding algorithms
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Factual Error Correction for Abstractive Summarization Models.
2020-10 Multi-Fact Correction in Abstractive Text Summarization
2020-07 On Variational Learning of Controllable Representations for Text without Supervision
2020-06 Learning Lexical Subspaces in a Distributional Vector Space
2020-05 Discourse-Aware Unsupervised Summarization of Long Scientific Documents
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
2020-04 SYSTEM AND METHOD FOR CROSS-DOMAIN TRANSFERABLE NEURAL COHERENCE MODEL
Cao Yanshuai, Xu Peng Z, Saghir Hamidreza, Kang Jin Sung, Long Leo and
Cheung Jackie C K
2020-01 Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
2019-11 Deconstructing and reconstructing word embedding algorithms
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Preventing Posterior Collapse in Sequence VAEs with Pooling
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Referring Expression Generation Using Entity Profiles
2019-09 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
2019-07 Generating Character Descriptions for Automatic Summarization of Fiction.
Learning Multi-Task Communication with Message Passing for Sequence Learning
Contextualized Non-Local Neural Networks for Sequence Learning
A Cross-Domain Transferable Neural Coherence Model
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao and
Jackie Chi Kit Cheung
2019-06 The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
2019-05 Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement.
2019-01 What comes next? Extractive summarization by next-sentence prediction.
2018-12 Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
2018-11 Multi-task Learning over Graph Structures.
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
2018-10 A Knowledge Hunting Framework for Common Sense Reasoning
2018-07 Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
2018-06 Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.
Commonsense mining as knowledge base completion? A study on the impact of novelty
2018-05 Constructing a Lexicon of Relational Nouns
2018-01 A Hierarchical Neural Attention-based Text Classifier
BanditSum: Extractive Summarization as a Contextual Bandit
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