Qualitative Code Suggestion: A Human-Centric Approach To Qualitative Coding Permalink
Cesare Spinoso-Di Piano, Samira Abbasgholizadeh Rahimi, Jackie Chi Kit Cheung
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EMNLP
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations Permalink
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
In-Context Learning for Text Classification with Many Labels Permalink
Aristides Milios, Siva Reddy, Dzmitry Bahdanau
Syntactic Substitutability as Unsupervised Dependency Syntax Permalink
Jasper Jian, Siva Reddy
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model Permalink
Parishad BehnamGhader, Santiago Miret, Siva Reddy
Learning with Rejection for Abstractive Text Summarization Permalink
Mengyao Cao, Yue Dong, Jingyi He, J. Cheung
Using In-Context Learning to Improve Dialogue Safety Permalink
Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Z. Hakkani-Tür
The Curious Case of Absolute Position Embeddings Permalink
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Permalink
Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques Permalink
Malik H. Altakrori, Thomas Scialom, B. Fung, J. Cheung
Visually Grounded Reasoning across Languages and Cultures Permalink
Fangyu Liu, Emanuele Bugliarello, E. Ponti, Siva Reddy, N. Collier, Desmond Elliott
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval Permalink
Devang Kulshreshtha, Robert Belfer, Iulian Serban, Siva Reddy
Linguistic Dependencies and Statistical Dependence Permalink
Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, T. O’Donnell
The Topic Confusion Task: A Novel Scenario for Authorship Attribution Permalink
Malik H. Altakrori, Jackie Cheung, Benjamin Fung
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution Permalink
Malik H. Altakrori, J. C. Cheung, B. Fung
Textual Time Travel: A Temporally Informed Approach to Theory of Mind Permalink
Akshatha Arodi, J. Cheung
Post-Editing Extractive Summaries by Definiteness Prediction Permalink
Jad Kabbara, J. Cheung
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions Permalink
Arjun Reddy Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Permalink
Zhi Wen, Xing Han Lu, Siva Reddy
Deconstructing Word Embedding Algorithms Permalink
Kian Kenyon-Dean, Edward Newell, J. Cheung
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization Permalink
Clément Jumel, Annie Louis, J. Cheung
Factual Error Correction for Abstractive Summarization Models Permalink
Mengyao Cao, Yue Dong, Jiapeng Wu, J. Cheung
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion Permalink
Jiapeng Wu, Mengyao Cao, J. Cheung, William L. Hamilton
Multi-Fact Correction in Abstractive Text Summarization Permalink
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, J. Cheung, Jingjing Liu
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback Permalink
Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
Recursive Top-Down Production for Sentence Generation with Latent Trees Permalink
Shawn Tan, Yikang Shen, T. O’Donnell, Alessandro Sordoni, Aaron C. Courville
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text Permalink
Ian Porada, Kaheer Suleman, J. Cheung
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses Permalink
Matt Grenander, Yue Dong, J. Cheung, Annie Louis
Referring Expression Generation Using Entity Profiles Permalink
Mengyao Cao, J. Cheung
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG Permalink
P. Trichelair, Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung
A Knowledge Hunting Framework for Common Sense Reasoning Permalink
Ali Emami, Noelia De La Cruz, A. Trischler, Kaheer Suleman, J. Cheung
BanditSum: Extractive Summarization as a Contextual Bandit Permalink
Yue Dong, Yikang Shen, Eric Crawford, H. V. Hoof, J. Cheung
A Hierarchical Neural Attention-based Text Classifier Permalink
Koustuv Sinha, Yue Dong, J. Cheung, D. Ruths
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions Permalink
Teng Long, Emmanuel Bengio, Ryan Lowe, J. Cheung, Doina Precup
Learning to Paraphrase for Question Answering Permalink
Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata
Universal Semantic Parsing Permalink
Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering Permalink
Jesse Mu, Joshua K. Hartshorne, T. O’Donnell
Evaluating Induced CCG Parsers on Grounded Semantic Parsing Permalink
Yonatan Bisk, Siva Reddy, John Blitzer, J. Hockenmaier, Mark Steedman
A model of rapid phonotactic generalization Permalink
Tal Linzen, T. O’Donnell
arXiv
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue Permalink
Xing Han Lù, Zdeněk Kasner, Siva Reddy
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering Permalink
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, Nicholas Meade, Siva Reddy
Investigating Failures to Generalize for Coreference Resolution Models Permalink
Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Permalink
Big Bench
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification Permalink
Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, J. Cheung
Does entity abstraction help generative Transformers reason? Permalink
Nicolas Gontier, Siva Reddy, C. Pal
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue Permalink
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, O. Zaiane, Mo Yu, E. Ponti, Siva Reddy
Evaluating Distributional Distortion in Neural Language Modeling Permalink
Benjamin LeBrun, Alessandro Sordoni, T. O’Donnell
Combining Modular Skills in Multitask Learning Permalink
E. Ponti, Alessandro Sordoni, Siva Reddy
Does entity abstraction help generative Transformers reason? Permalink
Nicolas Gontier, Siva Reddy, C. Pal
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization Permalink
Mengyao Cao, Yue Dong, J. Cheung
On-the-Fly Attention Modularization for Neural Generation Permalink
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, J. Cheung, Yejin Choi
The Topic Confusion Task: A Novel Scenario for Authorship Attribution Permalink
Malik H. Altakrori, J. Cheung, B. Fung
Modelling Latent Translations for Cross-Lingual Transfer Permalink
E. Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy
Characterizing Idioms: Conventionality and Contingency Permalink
Michaela Socolof, J. C. Cheung, Michael Wagner, T. O’Donnell
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention Permalink
Leon Bergen, Dzmitry Bahdanau, T. O’Donnell
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization Permalink
Yue Dong, Andrei Mircea, J. Cheung
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing Permalink
Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, J. Cheung, Yanshuai Cao
Deconstructing and reconstructing word embedding algorithms Permalink
Edward Newell, Kian Kenyon-Dean, J. Cheung
Preventing Posterior Collapse in Sequence VAEs with Pooling Permalink
Teng Long, Yanshuai Cao, J. Cheung
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement Permalink
Peng Xu, Yanshuai Cao, J. Cheung
What comes next? Extractive summarization by next-sentence prediction Permalink
Jingyun Liu, J. Cheung, Annie Louis
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss Permalink
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, J. Cheung, Doina Precup
Multi-task Learning over Graph Structures Permalink
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding Permalink
P. Trichelair, Ali Emami, J. Cheung, A. Trischler, Kaheer Suleman, Fernando Diaz
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution Permalink
Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung
Commonsense mining as knowledge base completion? A study on the impact of novelty Permalink
Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, J. Cheung
Building a Neural Semantic Parser from a Domain Ontology Permalink
Jianpeng Cheng, Siva Reddy, Mirella Lapata
Syntax-aware Neural Machine Translation Using CCG Permalink
Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch
ACL
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages Permalink
Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, J. Cheung
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources Permalink
Akshatha Arodi, Martin Pömsl, Kaheer Suleman, A. Trischler, Alexandra Olteanu, J. Cheung
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models Permalink
Nicholas Meade, Elinor Poole-Dayan, Siva Reddy
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment Permalink
Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie C. K. Cheung, Siva Reddy
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation Permalink
Kushal Arora, Layla El Asri, Hareesh Bahuleyan, J. Cheung
Image Retrieval from Contextual Descriptions Permalink
Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, E. Ponti, Siva Reddy
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization Permalink
Mengyao Cao, Yue Dong, J. Cheung
Characterizing Idioms: Conventionality and Contingency Permalink
Michaela Socolof, J. Cheung, Michael Wagner, T. O’Donnell
On-the-Fly Attention Modulation for Neural Generation Permalink
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, A. Bosselut, J. Cheung, Yejin Choi
The Power of Prompt Tuning for Low-Resource Semantic Parsing Permalink
Nathan Schucher, Siva Reddy, Harm de Vries
Compositional Generalization in Dependency Parsing Permalink
Emily Goodwin, Siva Reddy, T. O’Donnell, Dzmitry Bahdanau
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages Permalink
E. Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
ADEPT: An Adjective-Dependent Plausibility Task Permalink
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, A. Trischler, J. Cheung
Optimizing Deeper Transformers on Small Datasets Permalink
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, J. Cheung, S. Prince, Yanshuai Cao
StereoSet: Measuring stereotypical bias in pretrained language models Permalink
Moin Nadeem, Anna Bethke, Siva Reddy
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Permalink
Wenyu Du, Zhouhan Lin, Yikang Shen, T. O’Donnell, Yoshua Bengio, Yue Zhang
Probing Linguistic Systematicity Permalink
Emily Goodwin, Koustuv Sinha, T. O’Donnell
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions Permalink
Arjun Reddy Akula, Spandana Gella, Y. Al-Onaizan, Song-Chun Zhu, Siva Reddy
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Permalink
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, J. Cheung
A Cross-Domain Transferable Neural Coherence Model Permalink
Peng Xu, H. Saghir, Jin Sung Kang, Teng Long, A. Bose, Yanshuai Cao, J. Cheung
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution Permalink
Ali Emami, P. Trichelair, A. Trischler, Kaheer Suleman, Hannes Schulz, J. Cheung
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers Permalink
Andre Cianflone, Yulan Feng, Jad Kabbara, J. Cheung
Learning Structured Natural Language Representations for Semantic Parsing Permalink
Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks Permalink
R. Das, M. Zaheer, Siva Reddy, A. McCallum
Question Answering on Freebase via Relation Extraction and Textual Evidence Permalink
Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao
Evaluating Models of Computation and Storage in Human Sentence Processing Permalink
Thang Luong, T. O’Donnell, Noah D. Goodman
NAACL
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? Permalink
Nouha Dziri, Sivan Milton, Mo Yu, Osmar R Zaiane, Siva Reddy
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge Permalink
Ian Porada, Alessandro Sordoni, J. Cheung
Modeling Event Plausibility with Consistent Conceptual Abstraction Permalink
Ian Porada, Kaheer Suleman, A. Trischler, J. Cheung
Understanding by Understanding Not: Modeling Negation in Language Models Permalink
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron Courville
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle Permalink
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron Courville
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples Permalink
Krtin Kumar, J. Cheung
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge Permalink
Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung
Universal Dependencies to Logical Form with Negation Scope Permalink
Federico Fancellu, Siva Reddy, Adam Lopez, B. Webber
Assessing Relative Sentence Complexity using an Incremental CCG Parser Permalink
Bharat Ram Ambati, Siva Reddy, Mark Steedman
Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, CMCL@NAACL-HLT 2015, Denver, CO, USA, June 4, 2015 Permalink
T. O’Donnell, Marten van Schijndel
DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations Permalink
Diana McCarthy, Spandana Gella, Siva Reddy
TACL
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching Permalink
Vaibhav Adlakha, S. Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
Learning Lexical Subspaces in a Distributional Vector Space Permalink
Kushal Arora, Aishik Chakraborty, J. Cheung
CoQA: A Conversational Question Answering Challenge Permalink
Siva Reddy, Danqi Chen, Christopher D. Manning
Learning Typed Entailment Graphs with Global Soft Constraints Permalink
Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman
Transforming Dependency Structures to Logical Forms for Semantic Parsing Permalink
Siva Reddy, Oscar Täckström, Michael Collins, T. Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata
Large-scale Semantic Parsing without Question-Answer Pairs Permalink
Siva Reddy, Mirella Lapata, Mark Steedman
CogSci
Storage and Computation of Multimorphemic Words in Turkish Permalink
Rabia Ergin, Emily Morgan, T. O’Donnell
Evaluating systematicity in neural networks with natural language inference Permalink
Emily Goodwin, Koustuv Sinha, T. O’Donnell
Unsupervised learning of VerbNet argument structure Permalink
Jesse Mu, T. O’Donnell, Joshua K. Hartshorne
Productivity and Reuse in Language Permalink
T. O’Donnell, J. Snedeker, J. Tenenbaum, Noah D. Goodman
Productivity and Reuse in Language: a Developmental Study Permalink
T. O’Donnell, J. Snedeker, J. Tenenbaum, Noah D. Goodman
NeurIPS
The Impact of Positional Encoding on Length Generalization in Transformers Permalink
Amirhossein Kazemnejad, Inkit Padhi, K. Ramamurthy, Payel Das, Siva Reddy
Are Diffusion Models Vision-And-Language Reasoners? Permalink
Benno Krojer, Elinor Poole-Dayan, Vikram S. Voleti, C. Pal, Siva Reddy
Systematic Generalization with Edge Transformers Permalink
Leon Bergen, T. O’Donnell, Dzmitry Bahdanau
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering Permalink
Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer, Dani Yogatama
Measuring Systematic Generalization in Neural Proof Generation with Transformers Permalink
Nicolas Gontier, Koustuv Sinha, Siva Reddy, C. Pal
ACM
Post-hoc Interpretability for Neural NLP: A Survey Permalink
Andreas Madsen, Siva Reddy, Sarath Chandar
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion Permalink
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, M. Coates, J. Cheung
Arabic Authorship Attribution Permalink
Malik H. Altakrori, F. Iqbal, B. Fung, Steven H. H. Ding, A. Tubaishat
Nifty Assignments Permalink
Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, J. Cheung, François Pitt
AAAI
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems Permalink
Matt Grenander, Robert Belfer, E. Kochmar, Iulian Serban, Franccois St-Hilaire, J. Cheung
Generating Character Descriptions for Automatic Summarization of Fiction Permalink
Weiwei Zhang, J. Cheung, J. Oren
Learning Multi-Task Communication with Message Passing for Sequence Learning Permalink
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, J. Cheung
Contextualized Non-local Neural Networks for Sequence Learning Permalink
Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, J. Cheung
COLING
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences Permalink
Jad Kabbara, J. Cheung
Source-summary Entity Aggregation in Abstractive Summarization Permalink
J. González, Annie Louis, J. Cheung
An Analysis of Dataset Overlap on Winograd-Style Tasks Permalink
Ali Emami, A. Trischler, Kaheer Suleman, J. Cheung
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Permalink
Jingyi He, Kc Tsiolis, Kian Kenyon-Dean, J. Cheung
EACL
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents Permalink
Xing Han Lu, Siva Reddy, Harm de Vries
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP Permalink
Anya Belz, Craig Thomson, E. Reiter, Gavin Abercrombie, J. Alonso-Moral, Mohammad Arvan, J. Cheung, Mark Cieliebak, Elizabeth Clark, K. V. Deemter, Tanvi Din...
Combining Parameter-efficient Modules for Task-level Generalisation Permalink
E. Ponti, Alessandro Sordoni, Y. Bengio, Siva Reddy
Discourse-Aware Unsupervised Summarization for Long Scientific Documents Permalink
Yue Dong, Andrei Mircea, J. Cheung
NLP RG
Digital Agents
Tianbao Xie
High-Quality Human Evaluation of Generated Texts
Ehud Reiter
LREC
Constructing a Lexicon of Relational Nouns Permalink
Edward Newell, J. Cheung
Word Sketches for Turkish Permalink
Bharat Ram Ambati, Siva Reddy, A. Kilgarriff
A Corpus Factory for Many Languages Permalink
A. Kilgarriff, Siva Reddy, Jan Pomikálek, Avinesh P.V.S
Winter 2024
From Natural Language to Data Science
Course codes: COMP 345 & LING 345 (Winter 2024) Instructors: Siva Reddy[office hours: Tuesdays 3pm ENGMC 104N], Morgan Sonderegger Teaching Assist...
Formal and Neural Models of Pragmatics
Course codes: COMP 767 (Winter 2024) Instructors: Jackie Cheung Classroom: Burnside 719A Time: Tuesdays and Thursdays, 11:35 am - 12:55 pm Links: ...
Natural Language Understanding with Deep Learning / Computational Semantics
Course Code: COMP 545 & LING 484/782 (Winter 2024) Instructor: Siva Reddy (office hours: Tuesday 3pm, ENGMC 104N) Teaching Assistants: Aristides M...
IJCNLP
Dynamic and Static Prototype Vectors for Semantic Composition Permalink
Siva Reddy, I. Klapaftis, Diana McCarthy, S. Manandhar
An Empirical Study on Compositionality in Compound Nouns Permalink
Siva Reddy, Diana McCarthy, S. Manandhar
CoNLL
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data Permalink
Joakim Nivre, Zeljko Agic, Lars Ahrenberg, Lene Antonsen, M. J. Aranzabe, Masayuki Asahara, Luma Ateyah, Mohammed Attia, Aitziber Atutxa, E. Badmaeva, Miguel...
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Permalink
Daniel Zeman, M. Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers...
SemEval
Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model Permalink
Laura Kallmeyer, B. Zadeh, J. Cheung
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization Permalink
Kian Kenyon-Dean, J. Cheung, Doina Precup
ICML
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages Permalink
Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, E. Ponti, Ivan Vulic
On Variational Learning of Controllable Representations for Text without Supervision Permalink
Peng Xu, J. Cheung, Yanshuai Cao
Fall 2021
Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: Administered through Ed and myCourses
AIED
How Useful are Educational Questions Generated by Large Language Models? Permalink
Sabina Elkins, E. Kochmar, J. Cheung, Iulian Serban
Question Personalization in an Intelligent Tutoring System Permalink
Sabina Elkins, Robert Belfer, E. Kochmar, Iulian Serban, J. Cheung
Language, cognition and neuroscience
The causes and consequences explicit in verbs Permalink
Joshua K. Hartshorne, T. O’Donnell, J. Tenenbaum
Fall 2015
Introduction to Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
INLG
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing Permalink
Shashi Narayan, Siva Reddy, Shay B. Cohen
Fall 2016
Introduction to Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
WMT
Predicting Target Language CCG Supertags Improves Neural Machine Translation Permalink
Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch
Journal of Computational Linguistics
Learning an Executable Neural Semantic Parser Permalink
Jianpeng Cheng, Siva Reddy, V. Saraswat, Mirella Lapata
Digital Humanities Conference
Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses Permalink
J. Meunier, L. Chartrand, J. Cheung, Mathieu Valette, M. Bayle
MLDM
Detecting Large Concept Extensions for Conceptual Analysis Permalink
L. Chartrand, J. Cheung, M. Bouguessa
SIGDIAL
Predicting Success in Goal-Driven Human-Human Dialogues Permalink
Michael Noseworthy, J. Cheung, Joelle Pineau
Fall 2017
Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
Fall 2018
Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
Top. Cogn. Sci.
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning Permalink
Willem H. Zuidema, R. French, Raquel G. Alhama, Kevin Ellis, T. O’Donnell, Tim Sainburg, T. Gentner
Science
Universality and diversity in human song Permalink
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 ...
Fall 2019
Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
Linguistic Inquiry
Statistical Evidence for Learnable Lexical Subclasses in Japanese Permalink
T. Morita, T. O’Donnell
SwissText
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles Permalink
Manuel Sage, Pietro Cruciata, Raed Abdo, J. Cheung, Y. Zhao
Fall 2020
Natural Language Processing
Course codes: COMP 550 Instructors: Jackie Cheung Course website: here
STARSEM
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT Permalink
Abhilasha Ravichander, E. Hovy, Kaheer Suleman, A. Trischler, J. Cheung
AKBC
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering Permalink
M. Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani
Winter 2022
Back to Top ↑PAIS
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems Permalink
Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Serban, E. Kochmar
ECAI
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems Permalink
Devang Kulshreshtha, Muhammad Shayan, Robert Belfer, Siva Reddy, Iulian Serban, E. Kochmar
Fall 2022
Natural Language Understanding with Deep Learning / Computational Semantics
Course Code: COMP 599 & LING 484/782 (Fall 2022) Instructor: Siva Reddy (office hours: Tuesday 12:00pm–12:45pm and 2:15pm–3:00pm, ENGMC 104N) Teac...
ICLR
Systematic Rectification of Language Models via Dead-end Analysis Permalink
Mengyao Cao, Mehdi Fatemi, J. Cheung, S. Shabanian
Image Generation
Are Diffusion Models Vision-And-Language Reasoners? Permalink
Benno Krojer, Elinor Poole-Dayan, Vikram S. Voleti, C. Pal, Siva Reddy
compositionality
Are Diffusion Models Vision-And-Language Reasoners? Permalink
Benno Krojer, Elinor Poole-Dayan, Vikram S. Voleti, C. Pal, Siva Reddy
vision-language
Are Diffusion Models Vision-And-Language Reasoners? Permalink
Benno Krojer, Elinor Poole-Dayan, Vikram S. Voleti, C. Pal, Siva Reddy
Fall 2023
Natural Language Processing
Course codes: COMP 550 (Fall 2023) Instructors: Jackie Cheung Course website: Administered through Ed and myCourses
LLMs
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations Permalink
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
In-context learning
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations Permalink
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
Evaluation
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations Permalink
Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau
EMNLP Findings
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness Permalink
Zichao Li, Ines Arous, Siva Reddy, Jackie Chi Kit Cheung