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2020 – today
- 2023
[c74]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. ACL (Findings) 2023: 3468-3492- [c73]Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. ACL (1) 2023: 15088-15108 - [c72]Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
How Useful Are Educational Questions Generated by Large Language Models? AIED (Posters/Late Breaking Results/...) 2023: 536-542 - [i50]Kushal Arora, Timothy J. O'Donnell, Doina Precup, Jason Weston, Jackie Chi Kit Cheung:
The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. CoRR abs/2302.06784 (2023) - [i49]Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung:
Learning with Rejection for Abstractive Text Summarization. CoRR abs/2302.08531 (2023) - [i48]Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian:
Systematic Rectification of Language Models via Dead-end Analysis. CoRR abs/2302.14003 (2023) - [i47]Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Investigating Failures to Generalize for Coreference Resolution Models. CoRR abs/2303.09092 (2023) - [i46]Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung, Iulian Serban:
How Useful are Educational Questions Generated by Large Language Models? CoRR abs/2304.06638 (2023) - [i45]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i44]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages. CoRR abs/2305.05858 (2023) - 2022
- [c71]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. ACL (Findings) 2022: 700-710 - [c70]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. ACL (Findings) 2022: 926-937 - [c69]Meng Cao, Yue Dong
, Jackie Chi Kit Cheung:
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. ACL (1) 2022: 3340-3354 - [c68]Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O'Donnell:
Characterizing Idioms: Conventionality and Contingency. ACL (1) 2022: 4024-4037 - [c67]Sabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. AIED (2) 2022: 586-590 - [c66]Jad Kabbara, Jackie Chi Kit Cheung:
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences. COLING 2022: 779-785 - [c65]José Ángel González, Annie Louis, Jackie Chi Kit Cheung:
Source-summary Entity Aggregation in Abstractive Summarization. COLING 2022: 6019-6034 - [c64]Malik H. Altakrori, Thomas Scialom, Benjamin C. M. Fung, Jackie Chi Kit Cheung:
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques. EMNLP 2022: 2391-2406 - [c63]Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung:
Learning with Rejection for Abstractive Text Summarization. EMNLP 2022: 9768-9780 - [c62]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. NAACL-HLT 2022: 4550-4557 - [i43]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. CoRR abs/2204.01171 (2022) - [i42]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. CoRR abs/2204.03025 (2022) - [i41]Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, Jackie Chi Kit Cheung:
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification. CoRR abs/2205.12394 (2022) - [i40]Sabina Elkins, Robert Belfer, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. CoRR abs/2206.14145 (2022) - [i39]Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. CoRR abs/2212.08192 (2022) - 2021
- [c61]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. AAAI 2021: 15534-15544 - [c60]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) 2021: 1261-1274 - [c59]Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets. ACL/IJCNLP (1) 2021: 2089-2102 - [c58]Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
ADEPT: An Adjective-Dependent Plausibility Task. ACL/IJCNLP (1) 2021: 7117-7128 - [c57]Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
Discourse-Aware Unsupervised Summarization for Long Scientific Documents. EACL 2021: 1089-1102 - [c56]Jad Kabbara, Jackie Chi Kit Cheung:
Post-Editing Extractive Summaries by Definiteness Prediction. EMNLP (Findings) 2021: 3682-3692 - [c55]Akshatha Arodi, Jackie Chi Kit Cheung:
Textual Time Travel: A Temporally Informed Approach to Theory of Mind. EMNLP (Findings) 2021: 4162-4172 - [c54]Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung:
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution. EMNLP (Findings) 2021: 4242-4256 - [c53]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. NAACL-HLT 2021: 1732-1743 - [c52]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR 2021: 428-437 - [i38]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. CoRR abs/2101.00371 (2021) - [i37]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. CoRR abs/2103.07785 (2021) - [i36]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR abs/2104.08419 (2021) - [i35]Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung:
The Topic Confusion Task: A Novel Scenario for Authorship Attribution. CoRR abs/2104.08530 (2021) - [i34]Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O'Donnell:
Characterizing Idioms: Conventionality and Contingency. CoRR abs/2104.08664 (2021) - [i33]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. CoRR abs/2104.10247 (2021) - [i32]Meng Cao, Yue Dong, Jackie Chi Kit Cheung:
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. CoRR abs/2109.09784 (2021) - [i31]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. CoRR abs/2112.08583 (2021) - 2020
- [j2]Kushal Arora, Aishik Chakraborty, Jackie Chi Kit Cheung:
Learning Lexical Subspaces in a Distributional Vector Space. Trans. Assoc. Comput. Linguistics 8: 311-329 (2020) - [c51]Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. COLING 2020: 1229-1241 - [c50]Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING 2020: 5855-5865 - [c49]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. EMNLP (1) 2020: 5730-5746 - [c48]Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung:
Factual Error Correction for Abstractive Summarization Models. EMNLP (1) 2020: 6251-6258 - [c47]Clément Jumel, Annie Louis, Jackie Chi Kit Cheung:
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization. EMNLP (1) 2020: 8031-8050 - [c46]Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung:
Deconstructing word embedding algorithms. EMNLP (1) 2020: 8479-8484 - [c45]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [c44]Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao:
On Variational Learning of Controllable Representations for Text without Supervision. ICML 2020: 10534-10543 - [c43]Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. *SEM@COLING 2020: 88-102 - [c42]Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao:
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles. SwissText/KONVENS 2020 - [i30]Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. CoRR abs/2005.00513 (2020) - [i29]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i28]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. CoRR abs/2010.03526 (2020) - [i27]Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung:
Factual Error Correction for Abstractive Summarization Models. CoRR abs/2010.08712 (2020) - [i26]Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. CoRR abs/2011.02944 (2020) - [i25]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. CoRR abs/2011.04767 (2020) - [i24]Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung:
Deconstructing word embedding algorithms. CoRR abs/2011.07013 (2020) - [i23]Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. CoRR abs/2012.15355 (2020)
2010 – 2019
- 2019
- [c41]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. AAAI 2019: 4360-4367 - [c40]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. AAAI 2019: 6762-6769 - [c39]Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren:
Generating Character Descriptions for Automatic Summarization of Fiction. AAAI 2019: 7476-7483 - [c38]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. ACL (1) 2019: 678-687 - [c37]Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. ACL (1) 2019: 3393-3402 - [c36]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. ACL (1) 2019: 3952-3961 - [c35]Meng Cao, Jackie Chi Kit Cheung:
Referring Expression Generation Using Entity Profiles. EMNLP/IJCNLP (1) 2019: 3161-3170 - [c34]Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. EMNLP/IJCNLP (1) 2019: 3380-3385 - [c33]Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. EMNLP/IJCNLP (1) 2019: 6018-6023 - [c32]Krtin Kumar, Jackie Chi Kit Cheung:
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples. NAACL-HLT (1) 2019: 3949-3954 - [i22]Jingyun Liu, Jackie Chi Kit Cheung, Annie Louis:
What comes next? Extractive summarization by next-sentence prediction. CoRR abs/1901.03859 (2019) - [i21]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. CoRR abs/1905.11912 (2019) - [i20]Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung:
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. CoRR abs/1905.11975 (2019) - [i19]Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. CoRR abs/1906.08104 (2019) - [i18]Meng Cao, Jackie Chi Kit Cheung:
Referring Expression Generation Using Entity Profiles. CoRR abs/1909.01528 (2019) - [i17]Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. CoRR abs/1909.04028 (2019) - [i16]Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung:
Preventing Posterior Collapse in Sequence VAEs with Pooling. CoRR abs/1911.03976 (2019) - [i15]Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung:
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text. CoRR abs/1911.05689 (2019) - [i14]Edward Newell, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Deconstructing and reconstructing word embedding algorithms. CoRR abs/1911.13280 (2019) - 2018
- [c31]Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. ACL (1) 2018: 2747-2755 - [c30]Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths:
A Hierarchical Neural Attention-based Text Classifier. EMNLP 2018: 817-823 - [c29]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. EMNLP 2018: 1949-1958 - [c28]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP 2018: 3739-3748 - [c27]Edward Newell, Jackie Chi Kit Cheung:
Constructing a Lexicon of Relational Nouns. LREC 2018 - [c26]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. NAACL-HLT (Student Research Workshop) 2018: 25-31 - [c25]Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. *SEM@NAACL-HLT 2018: 1-10 - [c24]Laura Kallmeyer, Behrang QasemiZadeh, Jackie Chi Kit Cheung:
Coarse Lexical Frame Acquisition at the Syntax-Semantics Interface Using a Latent-Variable PCFG Model. *SEM@NAACL-HLT 2018: 130-141 - [e2]Ebrahim Bagheri, Jackie Chi Kit Cheung:
Advances in Artificial Intelligence - 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8-11, 2018, Proceedings. Lecture Notes in Computer Science 10832, Springer 2018, ISBN 978-3-319-89655-7 [contents] - [i13]Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung:
Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR abs/1804.09259 (2018) - [i12]Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. CoRR abs/1805.10985 (2018) - [i11]Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. CoRR abs/1806.04262 (2018) - [i10]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. CoRR abs/1809.09672 (2018) - [i9]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. CoRR abs/1810.01375 (2018) - [i8]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. CoRR abs/1811.01747 (2018) - [i7]Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz:
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. CoRR abs/1811.01778 (2018) - [i6]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-local Neural Networks for Sequence Learning. CoRR abs/1811.08600 (2018) - [i5]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Multi-task Learning over Graph Structures. CoRR abs/1811.10211 (2018) - [i4]Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup:
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss. CoRR abs/1812.07627 (2018) - 2017
- [c23]Jean-Guy Meunier, Louis Chartrand, Jackie Chi Kit Cheung, Mathieu Valette, Marie-Noëlle Bayle:
Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses. DH 2017 - [c22]Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup:
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. EMNLP 2017: 825-834 - [c21]Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa:
Detecting Large Concept Extensions for Conceptual Analysis. MLDM 2017: 78-90 - [c20]Nick Parlante, Julie Zelenski, Dave Feinberg, Kunal Mishra, Josh Hug, Kevin Wayne, Michael Guerzhoy, Jackie Chi Kit Cheung, François Pitt:
Nifty Assignments. SIGCSE 2017: 695-696 - [c19]Michael D. Noseworthy, Jackie Chi Kit Cheung, Joelle Pineau:
Predicting Success in Goal-Driven Human-Human Dialogues. SIGDIAL Conference 2017: 253-262 - [e1]Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu:
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-89-0 [contents] - [i3]Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa:
Detecting Large Concept Extensions for Conceptual Analysis. CoRR abs/1706.05723 (2017) - 2016
- [c18]Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup:
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data. ACL (2) 2016 - [c17]Meng Xuan Xia, Jackie Chi Kit Cheung:
Accurate Pinyin-English Codeswitched Language Identification. CodeSwitch@EMNLP 2016: 71-79 - [c16]Victor Chenal, Jackie Chi Kit Cheung:
Predicting sentential semantic compatibility for aggregation in text-to-text generation. COLING 2016: 1061-1070 - [c15]Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung:
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs. COLING 2016: 2625-2634 - [c14]Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms. EMNLP 2016: 1734-1743 - [i2]Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup:
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data. CoRR abs/1605.05416 (2016) - 2015
- [b1]Jackie Chi Kit Cheung:
Distributional Semantics for Robust Automatic Summarization. University of Toronto, Canada, 2015 - [c13]Jackie Chi Kit Cheung:
Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities. CVSC 2015: 22-31 - [c12]Priya Sidhaye, Jackie Chi Kit Cheung:
Indicative Tweet Generation: An Extractive Summarization Problem? EMNLP 2015: 138-147 - 2014
- [c11]Jackie Chi Kit Cheung, Gerald Penn:
Unsupervised Sentence Enhancement for Automatic Summarization. EMNLP 2014: 775-786 - 2013
- [j1]Giuseppe Carenini, Jackie Chi Kit Cheung, Adam Pauls:
Multi-Document Summarization of Evaluative Text. Comput. Intell. 29(4): 545-576 (2013) - [c10]