Publications

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, J. Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, J. Stillerman, S. Patel, Dmitry Abulkhanov, M. Zocca, Manan Dey, Zhihan Zhang, N. Fahmy, Urvashi Bhattacharyya, W. Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, M. Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jana Ebert, Tri Dao, Mayank Mishra, A. Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean M. Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

arXiv (2023)

Paper

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Parishad BehnamGhader, Santiago Miret, Siva Reddy

EMNLP Findings (2023)

Paper Code

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents

Xing Han Lu, Siva Reddy, Harm de Vries

EACL (2023)

Paper Code Page

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

Anya Belz, Craig Thomson, E. Reiter, Gavin Abercrombie, J. Alonso-Moral, Mohammad Arvan, J. Cheung, Mark Cieliebak, Elizabeth Clark, K. V. Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier Gonz'alez-Corbelle, Dirk Hovy, Manuela Hurlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, M. Nissim, Natalie Parde, Ondvrej Pl'atek, Verena Rieser, Pablo Romero, Joel Tetreault, Antonio Toral, Xiao-Yi Wan, L. Wanner, Lewis J. Watson, Diyi Yang

Insights from Negative Results in NLP @ EACL (2023)

Paper

How Useful are Educational Questions Generated by Large Language Models?

Sabina Elkins, E. Kochmar, J. Cheung, Iulian Serban

AIED (2023)

Paper

Investigating Failures to Generalize for Coreference Resolution Models

Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung

arXiv (2023)

Paper

Systematic Rectification of Language Models via Dead-end Analysis

Mengyao Cao, Mehdi Fatemi, J. Cheung, S. Shabanian

ICLR (2023)

Paper

Learning with Rejection for Abstractive Text Summarization

Mengyao Cao, Yue Dong, Jingyi He, J. Cheung

EMNLP (2023)

Paper

Using In-Context Learning to Improve Dialogue Safety

Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Z. Hakkani-Tür

EMNLP Findings (2023)

Paper

Combining Parameter-efficient Modules for Task-level Generalisation

E. Ponti, Alessandro Sordoni, Y. Bengio, Siva Reddy

EACL (2023)

Paper

2022

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources

Akshatha Arodi, Martin Pömsl, Kaheer Suleman, A. Trischler, Alexandra Olteanu, J. Cheung

ACL (2022)

Paper

The Curious Case of Absolute Position Embeddings

Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams

EMNLP Findings (2022)

Paper Code Tweet

Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining

Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy

EMNLP Findings (2022)

Paper Code Tweet

Post-hoc Interpretability for Neural NLP: A Survey

Andreas Madsen, Siva Reddy, Sarath Chandar

ACM Computing Surveys (2022)

Paper Tweet

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

Big Bench

arXiv (2022)

Paper

Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems

Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Serban, E. Kochmar

PAIS (2022)

Paper

Question Personalization in an Intelligent Tutoring System

Sabina Elkins, Robert Belfer, E. Kochmar, Iulian Serban, J. Cheung

AIED (2022)

Paper

MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification

Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, J. Cheung

arXiv (2022)

Paper

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

Nicholas Meade, Elinor Poole-Dayan, Siva Reddy

ACL (2022)

Paper Code Page Tweet

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment

Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie C. K. Cheung, Siva Reddy

ACL Findings (2022)

Paper Code Page Tweet Demo

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation

Kushal Arora, Layla El Asri, Hareesh Bahuleyan, J. Cheung

ACL Findings (2022)

Paper

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, E. Ponti, Ivan Vulic

ICML (2022)

Paper

Does entity abstraction help generative Transformers reason?

Nicolas Gontier, Siva Reddy, C. Pal

arXiv (2022)

Paper

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue

Nouha Dziri, Ehsan Kamalloo, Sivan Milton, O. Zaiane, Mo Yu, E. Ponti, Siva Reddy

arXiv (2022)

Paper

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Nouha Dziri, Sivan Milton, Mo Yu, Osmar R Zaiane, Siva Reddy

NAACL (2022)

Paper

Image Retrieval from Contextual Descriptions

Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, E. Ponti, Siva Reddy

ACL (2022)

Paper

Evaluating Distributional Distortion in Neural Language Modeling

Benjamin LeBrun, Alessandro Sordoni, T. O’Donnell

arXiv (2022)

Paper

Combining Modular Skills in Multitask Learning

E. Ponti, Alessandro Sordoni, Siva Reddy

arXiv (2022)

Paper

Does entity abstraction help generative Transformers reason?

Nicolas Gontier, Siva Reddy, C. Pal

arXiv (2022)

Paper

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences

Jad Kabbara, J. Cheung

COLING (2022)

Paper

Source-summary Entity Aggregation in Abstractive Summarization

J. González, Annie Louis, J. Cheung

COLING (2022)

Paper

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques

Malik H. Altakrori, Thomas Scialom, B. Fung, J. Cheung

EMNLP (2022)

Paper

2021

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge

Ian Porada, Alessandro Sordoni, J. Cheung

NAACL (2021)

Paper

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Mengyao Cao, Yue Dong, J. Cheung

ACL (2021)

Paper

Modeling Event Plausibility with Consistent Conceptual Abstraction

Ian Porada, Kaheer Suleman, A. Trischler, J. Cheung

NAACL (2021)

Paper

Characterizing Idioms: Conventionality and Contingency

Michaela Socolof, J. Cheung, Michael Wagner, T. O’Donnell

ACL (2021)

Paper

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion

Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, M. Coates, J. Cheung

ACM SIGIR (2021)

Paper

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems

Matt Grenander, Robert Belfer, E. Kochmar, Iulian Serban, Franccois St-Hilaire, J. Cheung

AAAI (2021)

Paper

On-the-Fly Attention Modulation for Neural Generation

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, A. Bosselut, J. Cheung, Yejin Choi

ACL Findings (2021)

Paper

Introduction to the special issue on simplicity in grammar learning

Roni Katzir, T. O’Donnell, E. Rasin

Journal of Language Modelling (2021)

Paper

Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization

Mengyao Cao, Yue Dong, J. Cheung

arXiv (2021)

Paper

On-the-Fly Attention Modularization for Neural Generation

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, J. Cheung, Yejin Choi

arXiv (2021)

Paper

The Topic Confusion Task: A Novel Scenario for Authorship Attribution

Malik H. Altakrori, J. Cheung, B. Fung

arXiv (2021)

Paper

Systematic Generalization with Edge Transformers

Leon Bergen, T. O’Donnell, Dzmitry Bahdanau

NeurIPS (2021)

Paper

The Power of Prompt Tuning for Low-Resource Semantic Parsing

Nathan Schucher, Siva Reddy, Harm de Vries

ACL (2021)

Paper

Compositional Generalization in Dependency Parsing

Emily Goodwin, Siva Reddy, T. O’Donnell, Dzmitry Bahdanau

ACL (2021)

Paper

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

Vaibhav Adlakha, S. Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy

TACL (2021)

Paper

Visually Grounded Reasoning across Languages and Cultures

Fangyu Liu, Emanuele Bugliarello, E. Ponti, Siva Reddy, N. Collier, Desmond Elliott

EMNLP (Best Paper Award) (2021)

Paper

Modelling Latent Translations for Cross-Lingual Transfer

E. Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy

arXiv (2021)

Paper

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer, Dani Yogatama

NeurIPS (2021)

Paper

Minimax and Neyman–Pearson Meta-Learning for Outlier Languages

E. Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard

ACL Findings (2021)

Paper

Understanding by Understanding Not: Modeling Negation in Language Models

Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron Courville

NAACL (2021)

Paper

Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval

Devang Kulshreshtha, Robert Belfer, Iulian Serban, Siva Reddy

EMNLP (2021)

Paper

Linguistic Dependencies and Statistical Dependence

Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, T. O’Donnell

EMNLP (2021)

Paper

Characterizing Idioms: Conventionality and Contingency

Michaela Socolof, J. C. Cheung, Michael Wagner, T. O’Donnell

arXiv (2021)

Paper

The Topic Confusion Task: A Novel Scenario for Authorship Attribution

Malik H. Altakrori, Jackie Cheung, Benjamin Fung

EMNLP Findings (2021)

Paper Page Video

Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention

Leon Bergen, Dzmitry Bahdanau, T. O’Donnell

arXiv (2021)

Paper

Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering

M. Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani

AKBC (2021)

Paper

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution

Malik H. Altakrori, J. C. Cheung, B. Fung

EMNLP (2021)

Paper

Textual Time Travel: A Temporally Informed Approach to Theory of Mind

Akshatha Arodi, J. Cheung

EMNLP (2021)

Paper

Post-Editing Extractive Summaries by Definiteness Prediction

Jad Kabbara, J. Cheung

EMNLP (2021)

Paper

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions

Arjun Reddy Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy

EMNLP (2021)

Paper

Discourse-Aware Unsupervised Summarization for Long Scientific Documents

Yue Dong, Andrei Mircea, J. Cheung

EACL (2021)

Paper

ADEPT: An Adjective-Dependent Plausibility Task

Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung

ACL (2021)

Paper

2020

Optimizing Deeper Transformers on Small Datasets

Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, J. Cheung, S. Prince, Yanshuai Cao

ACL (2020)

Paper

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT

Abhilasha Ravichander, E. Hovy, Kaheer Suleman, A. Trischler, J. Cheung

STARSEM (2020)

Paper

On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs

Teng Long, Yanshuai Cao, J. Cheung

arXiv (2020)

Paper

An Analysis of Dataset Overlap on Winograd-Style Tasks

Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

COLING (2020)

Paper

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms

Jingyi He, Kc Tsiolis, Kian Kenyon-Dean, J. Cheung

COLING (2020)

Paper

MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining

Zhi Wen, Xing Han Lu, Siva Reddy

ClinicalNLP @ EMNLP (2020)

Paper Code

Deconstructing Word Embedding Algorithms

Kian Kenyon-Dean, Edward Newell, J. Cheung

EMNLP (2020)

Paper

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization

Clément Jumel, Annie Louis, J. Cheung

EMNLP (2020)

Paper

Factual Error Correction for Abstractive Summarization Models

Mengyao Cao, Yue Dong, Jiapeng Wu, J. Cheung

EMNLP (2020)

Paper

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Jiapeng Wu, Mengyao Cao, J. Cheung, William L. Hamilton

EMNLP (2020)

Paper

Multi-Fact Correction in Abstractive Text Summarization

Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, J. Cheung, Jingjing Liu

EMNLP (2020)

Paper

StereoSet: Measuring stereotypical bias in pretrained language models

Moin Nadeem, Anna Bethke, Siva Reddy

ACL (2020)

Paper

Learning Lexical Subspaces in a Distributional Vector Space

Kushal Arora, Aishik Chakraborty, J. Cheung

TACL (2020)

Paper

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

Yue Dong, Andrei Mircea, J. Cheung

arXiv (2020)

Paper

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles

Manuel Sage, Pietro Cruciata, Raed Abdo, J. Cheung, Y. Zhao

SwissText (2020)

Paper

Storage and Computation of Multimorphemic Words in Turkish

Rabia Ergin, Emily Morgan, T. O’Donnell

CogSci (2020)

Paper

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing

Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, J. Cheung, Yanshuai Cao

arXiv (2020)

Paper

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle

Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron Courville

NAACL (2020)

Paper

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback

Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy

EMNLP Findings (2020)

Paper

Recursive Top-Down Production for Sentence Generation with Latent Trees

Shawn Tan, Yikang Shen, T. O’Donnell, Alessandro Sordoni, Aaron C. Courville

EMNLP Findings (2020)

Paper

Measuring Systematic Generalization in Neural Proof Generation with Transformers

Nicolas Gontier, Koustuv Sinha, Siva Reddy, C. Pal

NeurIPS (2020)

Paper

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

Wenyu Du, Zhouhan Lin, Yikang Shen, T. O’Donnell, Yoshua Bengio, Yue Zhang

ACL (2020)

Paper

Probing Linguistic Systematicity

Emily Goodwin, Koustuv Sinha, T. O’Donnell

ACL (2020)

Paper

Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions

Arjun Reddy Akula, Spandana Gella, Y. Al-Onaizan, Song-Chun Zhu, Siva Reddy

ACL (2020)

Paper

Statistical Evidence for Learnable Lexical Subclasses in Japanese

T. Morita, T. O’Donnell

Linguistic Inquiry (2020)

Paper

2019

Deconstructing and reconstructing word embedding algorithms

Edward Newell, Kian Kenyon-Dean, J. Cheung

arXiv (2019)

Paper

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text

Ian Porada, Kaheer Suleman, J. Cheung

EMNLP (2019)

Paper

Preventing Posterior Collapse in Sequence VAEs with Pooling

Teng Long, Yanshuai Cao, J. Cheung

arXiv (2019)

Paper

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

Matt Grenander, Yue Dong, J. Cheung, Annie Louis

EMNLP (2019)

Paper

Referring Expression Generation Using Entity Profiles

Mengyao Cao, J. Cheung

EMNLP (2019)

Paper

Generating Character Descriptions for Automatic Summarization of Fiction

Weiwei Zhang, J. Cheung, J. Oren

AAAI (2019)

Paper

Learning Multi-Task Communication with Message Passing for Sequence Learning

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

AAAI (2019)

Paper

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing

Yue Dong, Zichao Li, Mehdi Rezagholizadeh, J. Cheung

ACL (2019)

Paper

Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples

Krtin Kumar, J. Cheung

NAACL (2019)

Paper

On Variational Learning of Controllable Representations for Text without Supervision

Peng Xu, J. Cheung, Yanshuai Cao

ICML (2019)

Paper

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement

Peng Xu, Yanshuai Cao, J. Cheung

arXiv (2019)

Paper

A Cross-Domain Transferable Neural Coherence Model

Peng Xu, H. Saghir, Jin Sung Kang, Teng Long, A. Bose, Yanshuai Cao, J. Cheung

ACL (2019)

Paper

What comes next? Extractive summarization by next-sentence prediction

Jingyun Liu, J. Cheung, Annie Louis

arXiv (2019)

Paper

Learning Multi-Task Communication with Message Passing

Peng Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

AAAI (2019)

Paper

Evaluating systematicity in neural networks with natural language inference

Emily Goodwin, Koustuv Sinha, T. O’Donnell

CogSci (2019)

Paper

Universality and diversity in human song

Samuel A. Mehr, Manvir Singh, D. Knox, Daniel M. Ketter, Daniel Pickens-Jones, S. Atwood, Christopher Lucas, Nori Jacoby, Alena Egner, Erin J. Hopkins, Rhea M. Howard, Joshua K. Hartshorne, Mariela V. Jennings, Jan Simson, C. Bainbridge, S. Pinker, T. O’Donnell, Max M. Krasnow, Luke Glowacki

Science (2019)

Paper

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning

Willem H. Zuidema, R. French, Raquel G. Alhama, Kevin Ellis, T. O’Donnell, Tim Sainburg, T. Gentner

Top. Cogn. Sci. (2019)

Paper

2018

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss

Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, J. Cheung, Doina Precup

arXiv (2018)

Paper

Multi-task Learning over Graph Structures

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung

arXiv (2018)

Paper

Contextualized Non-local Neural Networks for Sequence Learning

Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, J. Cheung

AAAI (2018)

Paper

On the Evaluation of Common-Sense Reasoning in Natural Language Understanding

P. Trichelair, Ali Emami, J. Cheung, A. Trischler, Kaheer Suleman, Fernando Diaz

arXiv (2018)

Paper

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG

P. Trichelair, Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

EMNLP (2018)

Paper

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

Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung

arXiv (2018)

Paper

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution

Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung

ACL (2018)

Paper

A Knowledge Hunting Framework for Common Sense Reasoning

Ali Emami, Noelia De La Cruz, A. Trischler, Kaheer Suleman, J. Cheung

EMNLP (2018)

Paper

BanditSum: Extractive Summarization as a Contextual Bandit

Yue Dong, Yikang Shen, Eric Crawford, H. V. Hoof, J. Cheung

EMNLP (2018)

Paper

Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers

Andre Cianflone, Yulan Feng, Jad Kabbara, J. Cheung

ACL (2018)

Paper

Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model

Laura Kallmeyer, B. Zadeh, J. Cheung

SemEval (2018)

Paper

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge

Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung

NAACL (2018)

Paper

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization

Kian Kenyon-Dean, J. Cheung, Doina Precup

SemEval (2018)

Paper

Constructing a Lexicon of Relational Nouns

Edward Newell, J. Cheung

LREC (2018)

Paper

Commonsense mining as knowledge base completion? A study on the impact of novelty

Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, J. Cheung

arXiv (2018)

Paper

Building a Neural Semantic Parser from a Domain Ontology

Jianpeng Cheng, Siva Reddy, Mirella Lapata

arXiv (2018)

Paper

CoQA: A Conversational Question Answering Challenge

Siva Reddy, Danqi Chen, Christopher D. Manning

TACL (2018)

Paper

Universality and diversity in human song

Samuel A. Mehr, Manvir Singh, D. Knox, Daniel M. Ketter, Daniel Pickens-Jones, S. Atwood, Christophe Lucas, Nori Jacoby, Alena Egner, Erin J. Hopkins, Rhea M. Howard, Joshua K. Hartshorne, M. Jennings, Jan Simson, C. Bainbridge, S. Pinker, T. O’Donnell, Max M. Krasnow, Luke Glowacki

Science (2018)

Paper

A Hierarchical Neural Attention-based Text Classifier

Koustuv Sinha, Yue Dong, J. Cheung, D. Ruths

EMNLP (2018)

Paper

The evolutionary causes of irregularity: Evidence for an irregularization bias in morphological learning

T. O'Donnell, Kenny Smith

Evolang (2018)

Paper

Learning Typed Entailment Graphs with Global Soft Constraints

Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman

TACL (2018)

Paper

Arabic Authorship Attribution

Malik H. Altakrori, F. Iqbal, B. Fung, Steven H. H. Ding, A. Tubaishat

ACM TALLIP (2018)

Paper

2017

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions

Teng Long, Emmanuel Bengio, Ryan Lowe, J. Cheung, Doina Precup

EMNLP (2017)

Paper

Predicting Success in Goal-Driven Human-Human Dialogues

Michael Noseworthy, J. Cheung, Joelle Pineau

SIGDIAL (2017)

Paper

Detecting Large Concept Extensions for Conceptual Analysis

L. Chartrand, J. Cheung, M. Bouguessa

MLDM (2017)

Paper

Nifty Assignments

Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, J. Cheung, François Pitt

ACM SIGCSE Technical Symposium (2017)

Paper

Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data

Joakim Nivre, Zeljko Agic, Lars Ahrenberg, Lene Antonsen, M. J. Aranzabe, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, E. Badmaeva, Miguel Ballesteros, Esha Banerjee, S. Bank, John Bauer, K. Bengoetxea, R. Bhat, E. Bick, C. Bosco, G. Bouma, Samuel R. Bowman, A. Burchardt, Marie Candito, G. Caron, G. Eryigit, G. Celano, S. Çetin, Fabricio Chalub, Jinho Choi, Yongseok Cho, Silvie Cinková, Çagri Çöltekin, M. Connor, Marie-Catherine de Marneffe, Valeria C V de Paiva, A. D. Ilarraza, Kaja Dobrovoljc, Timothy Dozat, Kira Droganova, Marhaba Eli, A. Elkahky, T. Erjavec, Richárd Farkas, Héctor Fernández Alcalde, Jennifer Foster, Cláudia Freitas, K. Gajdošová, Daniel Galbraith, Marcos Garcia, Filip Ginter, Iakes Goenaga, Koldo Gojenola, Memduh Gökirmak, Yoav Goldberg, X. Guinovart, Berta Gonzáles Saavedra, M. Grioni, Normunds Gruzitis, B. Guillaume, Nizar Habash, Jan Hajic, L. My, K. Harris, D. Haug, B. Hladká, Jaroslava Hlavácová, Petter Hohle, Radu Ion, E. Irimia, Anders Johannsen, Fredrik Jørgensen, Hüner Kaşıkara, H. Kanayama, Jenna Kanerva, Tolga Kayadelen, Václava Kettnerová, Jesse Kirchner, N. Kotsyba, Simon Krek, Sookyoung Kwak, Veronika Laippala, Lorenzo Lambertino, T. Lando, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, H. Leung, Cheuk Ying Li, Josie Li, N. Ljubešić, O. Loginova, O. Lyashevskaya, Teresa Lynn, Vivien Macketanz, Aibek Makazhanov, M. Mandl, Christopher D. Manning, R. Manurung, Catalina Maranduc, D. Mareček, Katrin Marheinecke, Héctor Martínez Alonso, André Martins, J. Masek, Yuji Matsumoto, Ryan T. McDonald, Gustavo Mendonça, Anna Missilä, V. Mititelu, Yusuke Miyao, S. Montemagni, A. More, L. Romero, Shunsuke Mori, Bohdan Moskalevskyi, K. Muischnek, N. Mustafina, Kaili Müürisep, Pinkey Nainwani, A. Nedoluzhko, Lương Nguyễn Thị, Huyen Nguyen Thi Minh, Vitaly Nikolaev, Rattima Nitisaroj, Hanna M. Nurmi, S. Ojala, P. Osenova, Lilja Øvrelid, E. Pascual, Marco Passarotti, Cenel-Augusto Perez, Guy Perrier, Slav Petrov, Jussi Piitulainen, Emily Pitler, Barbara Plank, M. Popel, L. Pretkalnina, Prokopis Prokopidis, Tiina Puolakainen, Sampo Pyysalo, Alexandre Rademaker, Livy Real, Siva Reddy, Georg Rehm, L. Rinaldi, Laura Rituma, Rudolf Rosa, D. Rovati, Shadi Saleh, M. Sanguinetti, Baiba Saulite, Yanin Sawanakunanon, Sebastian Schuster, Djamé Seddah, W. Seeker, M. Seraji, L. Shakurova, Mo Shen, A. Shimada, Muh Shohibussirri, Natalia Silveira, M. Simi, R. Simionescu, K. Simkó, M. Šimková, K. Simov, Aaron Smith, Antonio Stella, Jana Strnadová, A. Suhr, U. Sulubacak, Z. Szántó, Dima Taji, Takaaki Tanaka, Trond Trosterud, A. Trukhina, Reut Tsarfaty, Francis M. Tyers, Sumire Uematsu, Zdenka Uresová, L. Uria, H. Uszkoreit, Gertjan van Noord, Viktor Varga, V. Vincze, Jonathan North Washington, Zhuoran Yu, Z. Žabokrtský, Daniel Zeman, Hanzhi Zhu

CoNLL (2017)

Paper

Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report

Eva Portelance, Amelia Bruno, Daniel Harasim, Leon Bergen, T. O’Donnell

arXiv (2017)

Paper

Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses

J. Meunier, L. Chartrand, J. Cheung, Mathieu Valette, M. Bayle

Digital Humanities Conference (2017)

Paper

Formalizing accessibility using linguistic productivity

Kyle Mahowald, J. Tenenbaum, T. O’Donnell

MIT Press (2017)

Paper

Syntax-aware Neural Machine Translation Using CCG

Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch

arXiv (2017)

Paper

Learning an Executable Neural Semantic Parser

Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata

Journal of Computational Linguistics (2017)

Paper

Learning to Paraphrase for Question Answering

Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata

EMNLP (2017)

Paper

Learning Structured Natural Language Representations for Semantic Parsing

Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata

ACL (2017)

Paper

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

R. Das, M. Zaheer, Siva Reddy, A. McCallum

ACL (2017)

Paper

Universal Dependencies to Logical Form with Negation Scope

Federico Fancellu, Siva Reddy, Adam Lopez, B. Webber

SemBEaR @ NAACL (2017)

Paper

Universal Semantic Parsing

Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata

EMNLP (2017)

Paper

Predicting Target Language CCG Supertags Improves Neural Machine Translation

Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch

WMT (2017)

Paper

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, M. Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, E. Badmaeva, Memduh Gökirmak, A. Nedoluzhko, Silvie, Cinková, Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, Jenna Kanerva, S. Ojala, Anna Missilä, Christopher D. Manning, Sebastian, Schuster, Siva Reddy, Dima Taji, Nizar Habash, H. Leung, Marie-Catherine de Marneffe, M. Sanguinetti, M. Simi, Hiroshi, Kanayama, Valeria C V de Paiva, Kira Droganova, Héctor Martínez Alonso, Çağrı, Çöltekin, U. Sulubacak, H. Uszkoreit, Vivien Macketanz, Aljoscha, Burchardt, K. Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, A. Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, M. Mandl, Jesse Kirchner, Héctor Fernández Alcalde, Jana Strnadová, Esha, Banerjee, R. Manurung, Antonio Stella, A. Shimada, Sookyoung Kwak, Gustavo Mendonça, T. Lando, Rattima Nitisaroj, Josie Li

CoNLL (2017)

Paper

Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering

Jesse Mu, Joshua K. Hartshorne, T. O’Donnell

EMNLP (2017)

Paper

2016

Unsupervised learning of VerbNet argument structure

Jesse Mu, T. O’Donnell, Joshua K. Hartshorne

CogSci (2016)

Paper

Evaluating Induced CCG Parsers on Grounded Semantic Parsing

Yonatan Bisk, Siva Reddy, John Blitzer, J. Hockenmaier, Mark Steedman

EMNLP (2016)

Paper

Question Answering on Freebase via Relation Extraction and Textual Evidence

Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao

ACL (2016)

Paper

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing

Shashi Narayan, Siva Reddy, Shay B. Cohen

INLG (2016)

Paper

Assessing Relative Sentence Complexity using an Incremental CCG Parser

Bharat Ram Ambati, Siva Reddy, Mark Steedman

NAACL (2016)

Paper

Transforming Dependency Structures to Logical Forms for Semantic Parsing

Siva Reddy, Oscar Täckström, Michael Collins, T. Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata

TACL (2016)

Paper

2015

Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, CMCL@NAACL-HLT 2015, Denver, CO, USA, June 4, 2015

T. O’Donnell, Marten van Schijndel

CMCL @ NAACL (2015)

Paper

The English Past Tense: Simulations

T. O’Donnell

MIT Press (2015)

Paper

English Derivational Morphology: Simulations

T. O’Donnell

MIT Press (2015)

Paper

Evaluating Models of Computation and Storage in Human Sentence Processing

Thang Luong, T. O’Donnell, Noah D. Goodman

CogACLL @ ACL (2015)

Paper

A model of rapid phonotactic generalization

Tal Linzen, T. O’Donnell

EMNLP (2015)

Paper

The causes and consequences explicit in verbs

Joshua K. Hartshorne, T. O’Donnell, J. Tenenbaum

Language, cognition and neuroscience (2015)

Paper

2014

UvA-DARE (Digital Academic Repository) A Usage-Based Model of Early Grammatical Development A Usage-Based Model of Early Grammatical Development

V. Demberg, T. O’Donnell

CMCL @ ACL (2014)

Paper

Large-scale Semantic Parsing without Question-Answer Pairs

Siva Reddy, Mirella Lapata, Mark Steedman

TACL (2014)

Paper

Social dialect and men's voice pitch influence women's mate preferences

J. O'Connor, Paul J. Fraccaro, K. Pisanski, C. C. Tigue, T. O’Donnell, D. Feinberg

Evolution and Human Behavior (2014)

Paper

2012

DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations

Diana McCarthy, Spandana Gella, Siva Reddy

SemEval @ NAACL (2012)

Paper

Word Sketches for Turkish

Bharat Ram Ambati, Siva Reddy, A. Kilgarriff

LREC (2012)

Paper

2011

Frozen Chunks and Generalized Representations: The Case of the English Dative Alternation

E. Conwell, T. O’Donnell, J. Snedeker

BUCLD (2011)

Paper

Dynamic and Static Prototype Vectors for Semantic Composition

Siva Reddy, I. Klapaftis, Diana McCarthy, S. Manandhar

IJCNLP (2011)

Paper

An Empirical Study on Compositionality in Compound Nouns

Siva Reddy, Diana McCarthy, S. Manandhar

IJCNLP (2011)

Paper

Productivity and Reuse in Language

T. O’Donnell, J. Snedeker, J. Tenenbaum, Noah D. Goodman

CogSci (2011)

Paper

Productivity and Reuse in Language: a Developmental Study

T. O’Donnell, J. Snedeker, J. Tenenbaum, Noah D. Goodman

CogSci (2011)

Paper

2010

A Corpus Factory for Many Languages

A. Kilgarriff, Siva Reddy, Jan Pomikálek, Avinesh P.V.S

LREC (2010)

Paper

Linking meaning to language: linguistic universals and variation

Joshua K. Hartshorne, T. O’Donnell, Y. Sudo, Miki Uruwashi, J. Snedeker

CogSci (2010)

Paper

2009

Fragment Grammars: Exploring Computation and Reuse in Language

T. O’Donnell, Noah D. Goodman, J. Tenenbaum

Technical Report (2009)

Paper

2006

Learning English as a Foreign Language in Korea : Does CALL have a place ?

T. O’Donnell

Asian EFL Journal (2006)

Paper

Beyond the argument from design

Willem H. Zuidema, T. O’Donnell, A. Cangelosi, Andrew D. M. Smith, Kenny Smith

Evolang (2006)

Paper

2003

Proceedings of 3rd Workshop on NLP and XML (NLPXML-2003) Language Technology and the Semantic Web

J. Carletta, J. Kilgour, T. O’Donnell, S. Evert, Holger Voormann

NLPXML (2003)

Paper

The NXT Object Model

S. Evert, J. Carletta, T. O’Donnell, J. Kilgour, Andreas Vögele, Holger Voormann

Technical Report (2003)

Paper

2002

The NITE Object Model Library for Handling Structured Linguistic Annotation on Multimodal Data Sets

J. Carletta, J. Kilgour, T. O’Donnell, S. Evert, Holger Voormann

NLPXML (2002)

Paper