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ORCIDWilliam W. Cohen
Person information
- affiliation: Google, Pittsburgh, USA
- affiliation (former): Carnegie Mellon University, Machine Learning Department
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2020 – today
- 2023
[c224]William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI 2023: 15385-15392- [c223]Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen:
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. ACL (Findings) 2023: 11534-11547 - [c222]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) 2023: 12044-12066 - [c221]Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen:
WinoDict: Probing language models for in-context word acquisition. EACL 2023: 94-102 - [c220]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL 2023: 1589-1602 - [c219]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. ICLR 2023 - [c218]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
Scenario-based Question Answering with Interacting Contextual Properties. ICLR 2023 - [c217]Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen:
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. ICML 2023: 7329-7342 - [i86]Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen:
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. CoRR abs/2301.10448 (2023) - [i85]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR abs/2304.00186 (2023) - [i84]Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie:
GLIMMER: generalized late-interaction memory reranker. CoRR abs/2306.10231 (2023) - [i83]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions. CoRR abs/2308.08661 (2023) - [i82]Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie:
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR abs/2308.14903 (2023) - [i81]Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler:
SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR abs/2311.04886 (2023) - [i80]Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews, Edward Clifford, Yennie Jun, William W. Cohen, Simon Baumgartner:
Trusted Source Alignment in Large Language Models. CoRR abs/2311.06697 (2023) - [i79]Chung-Ching Chang, William W. Cohen, Yun-Hsuan Sung:
Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations. CoRR abs/2311.10083 (2023) - 2022
- [j47]Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen:
Time-Aware Language Models as Temporal Knowledge Bases. Trans. Assoc. Comput. Linguistics 10: 257-273 (2022) - [j46]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022) - [c216]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI 2022: 5277-5285 - [c215]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. ACL (1) 2022: 3627-3637 - [c214]Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen:
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. EMNLP 2022: 5558-5570 - [c213]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP 2022: 9818-9830 - [c212]Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen:
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. ICLR 2022 - [c211]Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler:
Transformer Memory as a Differentiable Search Index. NeurIPS 2022 - [i78]Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler:
Transformer Memory as a Differentiable Search Index. CoRR abs/2202.06991 (2022) - [i77]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR abs/2204.04581 (2022) - [i76]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
Reasoning over Logically Interacted Conditions for Question Answering. CoRR abs/2205.12898 (2022) - [i75]Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR abs/2207.00630 (2022) - [i74]Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen:
WinoDict: Probing language models for in-context word acquisition. CoRR abs/2209.12153 (2022) - [i73]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. CoRR abs/2209.14491 (2022) - [i72]Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen:
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. CoRR abs/2210.02928 (2022) - [i71]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR abs/2210.12378 (2022) - [i70]Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen:
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR abs/2211.12588 (2022) - [i69]Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster
, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - [i68]Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen:
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. CoRR abs/2212.08153 (2022) - [i67]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR abs/2212.10726 (2022) - 2021
- [c210]Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. AAAI 2021: 14292-14300 - [c209]Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen:
Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT 2021: 25-30 - [c208]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. AKBC 2021 - [c207]Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen:
MATE: Multi-view Attention for Table Transformer Efficiency. EMNLP (1) 2021: 7606-7619 - [c206]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. ICLR 2021 - [c205]Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. ICML 2021: 9966-9977 - [c204]Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen:
Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. NAACL-HLT 2021: 3678-3691 - [c203]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT 2021: 4611-4625 - [p2]Haitian Sun, Pat Verga, William W. Cohen:
Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. Neuro-Symbolic Artificial Intelligence 2021: 126-145 - [i66]Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. CoRR abs/2102.07043 (2021) - [i65]Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult. CoRR abs/2104.01940 (2021) - [i64]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents. CoRR abs/2106.00200 (2021) - [i63]Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen:
Time-Aware Language Models as Temporal Knowledge Bases. CoRR abs/2106.15110 (2021) - [i62]Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen:
MATE: Multi-view Attention for Table Transformer Efficiency. CoRR abs/2109.04312 (2021) - [i61]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. CoRR abs/2109.14364 (2021) - [i60]Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen:
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. CoRR abs/2110.06176 (2021) - [i59]Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. CoRR abs/2110.06884 (2021) - [i58]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR abs/2112.09669 (2021) - 2020
- [j45]William W. Cohen, Fan Yang, Kathryn Mazaitis:
TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure. J. Artif. Intell. Res. 67: 285-325 (2020) - [c202]William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler:
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. ICLR 2020 - [c201]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. ICLR 2020 - [c200]Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen:
Faithful Embeddings for Knowledge Base Queries. NeurIPS 2020 - [c199]Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu:
From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer. PSB 2020: 79-90 - [i57]William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler:
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. CoRR abs/2002.06115 (2020) - [i56]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. CoRR abs/2002.10640 (2020) - [i55]Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen:
Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. CoRR abs/2004.03658 (2020) - [i54]Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen:
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. CoRR abs/2007.00849 (2020) - [i53]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. CoRR abs/2010.10439 (2020) - [i52]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. CoRR abs/2010.14439 (2020) - [i51]Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How much do explanations from the teacher aid students? CoRR abs/2012.00893 (2020)
2010 – 2019
- 2019
- [c198]Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) 2019: 4884-4895 - [c197]Haitian Sun, Tania Bedrax-Weiss, William W. Cohen:
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. EMNLP/IJCNLP (1) 2019: 2380-2390 - [c196]Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) 2019: 2567-2577 - [c195]Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen:
Game Design for Eliciting Distinguishable Behavior. NeurIPS 2019: 4686-4695 - [c194]Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing:
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB 2019: 112-123 - [i50]Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen:
Incremental Reading for Question Answering. CoRR abs/1901.04936 (2019) - [i49]Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu:
Probing Biomedical Embeddings from Language Models. CoRR abs/1904.02181 (2019) - [i48]Haitian Sun, Tania Bedrax-Weiss, William W. Cohen:
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. CoRR abs/1904.09537 (2019) - [i47]William W. Cohen, Matthew Siegler, R. Alex Hofer:
Neural Query Language: A Knowledge Base Query Language for Tensorflow. CoRR abs/1905.06209 (2019) - [i46]William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler:
Differentiable Representations For Multihop Inference Rules. CoRR abs/1905.10417 (2019) - [i45]Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen:
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR abs/1906.01081 (2019) - [i44]Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR abs/1909.06146 (2019) - [i43]Andrew O. Arnold, William W. Cohen:
Instance-based Transfer Learning for Multilingual Deep Retrieval. CoRR abs/1911.06111 (2019) - [i42]Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell:
Game Design for Eliciting Distinguishable Behavior. CoRR abs/1912.06074 (2019) - 2018
- [j44]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c193]Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen:
Learning to Define Terms in the Software Domain. NUT@EMNLP 2018: 164-172 - [c192]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018: 2369-2380 - [c191]Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP 2018: 4231-4242 - [c190]Rose Catherine, William W. Cohen:
TransNets for Review Generation. ICLR (Workshop) 2018 - [c189]Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen:
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR 2018 - [c188]Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. ICLR (Workshop) 2018 - [c187]Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) 2018: 42-48 - [c186]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. NeurIPS 2018: 4430-4440 - [c185]Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun:
GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS 2018: 8964-8975 - [i41]Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR abs/1804.05922 (2018) - [i40]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. CoRR abs/1804.09238 (2018) - [i39]Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun:
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR abs/1806.05662 (2018) - [i38]Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. CoRR abs/1809.00782 (2018) - [i37]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR abs/1809.09600 (2018) - 2017
- [j43]Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen:
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. Knowl. Based Syst. 115: 80-86 (2017) - [c184]Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI 2017: 3408-3414 - [c183]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) 2017: 1040-1050 - [c182]Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Gated-Attention Readers for Text Comprehension. ACL (1) 2017: 1832-1846 - [c181]Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. AKBC@NIPS 2017 - [c180]Wen-Haw Chong, Ee-Peng Lim, William W. Cohen:
Collective Entity Linking in Tweets Over Space and Time. ECIR 2017: 82-94 - [c179]Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov:
Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) 2017 - [c178]Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen:
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. ICLR (Poster) 2017 - [c177]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. IJCAI 2017: 1454-1460 - [c176]Fan Yang, Zhilin Yang, William W. Cohen:
Differentiable Learning of Logical Rules for Knowledge Base Reasoning. NIPS 2017: 2319-2328 - [c175]Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov:
Good Semi-supervised Learning That Requires a Bad GAN. NIPS 2017: 6510-6520 - [c174]Rose Catherine, William W. Cohen:
TransNets: Learning to Transform for Recommendation. RecSys 2017: 288-296 - [c173]Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen:
Explainable Entity-based Recommendations with Knowledge Graphs. RecSys Posters 2017 - [i36]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR abs/1702.02206 (2017) - [i35]Fan Yang, Zhilin Yang, William W. Cohen:
Differentiable Learning of Logical Rules for Knowledge Base Completion. CoRR abs/1702.08367 (2017) - [i34]Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen:
A Comparative Study of Word Embeddings for Reading Comprehension. CoRR abs/1703.00993 (2017) - [i33]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. CoRR abs/1703.01557 (2017) - [i32]Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Linguistic Knowledge as Memory for Recurrent Neural Networks. CoRR abs/1703.02620 (2017) - [i31]Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen:
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. CoRR abs/1703.06345 (2017) - [i30]Rose Catherine, William W. Cohen:
TransNets: Learning to Transform for Recommendation. CoRR abs/1704.02298 (2017) - [i29]Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov:
Good Semi-supervised Learning that Requires a Bad GAN. CoRR abs/1705.09783 (2017) - [i28]Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen:
Quasar: Datasets for Question Answering by Search and Reading. CoRR abs/1707.03904 (2017) - [i27]Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen:
Explainable Entity-based Recommendations with Knowledge Graphs. CoRR abs/1707.05254 (2017) - [i26]William W. Cohen, Fan Yang, Kathryn Mazaitis:
TensorLog: Deep Learning Meets Probabilistic DBs. CoRR abs/1707.05390 (2017) - [i25]Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen:
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR abs/1711.03953 (2017) - [i24]Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. CoRR abs/1711.06744 (2017) - 2016
- [c172]