Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
NAACL 2022 | May 2022
Return to Microsoft Research Lab – Montréal
Deep Learning & Language | Montréal
论文与出版物
论文与出版物
按年份分类的论文与出版物
-
-
ADEPT: An Adjective-Dependent Plausibility Task
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
ACL-IJCNLP 2021 | August 2021
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
-
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
September 2020
-
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville
NeurIPS 2019 | November 2019
ArXiv
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
Metalearned Neural Memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
NeurIPS 2019 | July 2019
Preprint under review
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, Devon Hjelm, William Buchwalter
June 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
ACL 2019 | May 2019
ArXiv
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
On-line Adaptative Curriculum Learning for GANs
Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, Devon Hjelm
AAAI 2019 | March 2019
-
Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville, Yoshua Bengio
Proceedings of ACL | July 2018
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Devon Hjelm
ICML 2018 | June 2018
ArXiv
Augmented cyclegan: Learning many-to-many mappings from unpaired data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville
ICML 2018 | June 2018
ArXiv
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
ICML 2018 | June 2018
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
Boundary Seeking GANs
R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio
ICLR 2018 Conference | February 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher Pal
ICLR 2018 | January 2018
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Adam Trischler, Yoshua Bengio
ICLR 2018 | January 2018
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Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
34th International Conference on Machine Learning (ICML 2017) | August 2017
按研究领域分类的论文与出版物
-
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
NAACL 2022 | May 2022
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher Pal
ICLR 2018 | January 2018
-
ADEPT: An Adjective-Dependent Plausibility Task
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
ACL-IJCNLP 2021 | August 2021
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
September 2020
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville
NeurIPS 2019 | November 2019
ArXiv
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
Metalearned Neural Memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
NeurIPS 2019 | July 2019
Preprint under review
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, Devon Hjelm, William Buchwalter
June 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
ACL 2019 | May 2019
ArXiv
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
On-line Adaptative Curriculum Learning for GANs
Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, Devon Hjelm
AAAI 2019 | March 2019
Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville, Yoshua Bengio
Proceedings of ACL | July 2018
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Devon Hjelm
ICML 2018 | June 2018
ArXiv
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
ICML 2018 | June 2018
Augmented cyclegan: Learning many-to-many mappings from unpaired data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville
ICML 2018 | June 2018
ArXiv
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
Boundary Seeking GANs
R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio
ICLR 2018 Conference | February 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher Pal
ICLR 2018 | January 2018
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Adam Trischler, Yoshua Bengio
ICLR 2018 | January 2018
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
34th International Conference on Machine Learning (ICML 2017) | August 2017
-
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
-
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
-
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
按类型分类的论文与出版物
-
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
NAACL 2022 | May 2022
ADEPT: An Adjective-Dependent Plausibility Task
Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
ACL-IJCNLP 2021 | August 2021
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville
NeurIPS 2019 | November 2019
ArXiv
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor
The IEEE International Conference on Computer Vision (ICCV) | October 2019
Metalearned Neural Memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
NeurIPS 2019 | July 2019
Preprint under review
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung
ACL 2019 | June 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
ACL 2019 | May 2019
ArXiv
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
ICLR 2019 | May 2019
ICLR 2019 Best Paper Award
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, Devon Hjelm
ICLR 2019 | May 2019
Learning deep representations by mutual information estimation and maximization
Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
ICLR 2019 | April 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
On-line Adaptative Curriculum Learning for GANs
Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, Devon Hjelm
AAAI 2019 | March 2019
Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
A Knowledge Hunting Framework for Common Sense Reasoning
Ali Emami , Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung
Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2018
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Devon Hjelm
ICML 2018 | June 2018
ArXiv
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
ICML 2018 | June 2018
Augmented cyclegan: Learning many-to-many mappings from unpaired data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville
ICML 2018 | June 2018
ArXiv
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
Boundary Seeking GANs
R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio
ICLR 2018 Conference | February 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher Pal
ICLR 2018 | January 2018
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Adam Trischler, Yoshua Bengio
ICLR 2018 | January 2018
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
34th International Conference on Machine Learning (ICML 2017) | August 2017
-
Predicting Unreliable Predictions by Shattering a Neural Network
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio
June 2021
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
September 2020
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, Devon Hjelm, William Buchwalter
June 2019
-
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
-
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville, Yoshua Bengio
Proceedings of ACL | July 2018