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Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing

Oct 07, 2020
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta

* EMNLP 2020 

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Nearest Neighbor Machine Translation

Oct 01, 2020
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

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Grounded Adaptation for Zero-shot Executable Semantic Parsing

Sep 17, 2020
Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer

* EMNLP 2020 long paper. 14 pages, 5 figures 

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Better Fine-Tuning by Reducing Representational Collapse

Aug 06, 2020
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta

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DeLighT: Very Deep and Light-weight Transformer

Aug 03, 2020
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi

* 16 pages including references and appendix 

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Pre-training via Paraphrasing

Jun 26, 2020
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer

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Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders

Jun 02, 2020
Terra Blevins, Luke Zettlemoyer

* Accepted to ACL 2020; current version corrects typos and formatting 

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Active Learning for Coreference Resolution using Discrete Annotation

May 19, 2020
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer

* 12 pages, 7 figures, ACL 2020 

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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction

May 01, 2020
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer

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AmbigQA: Answering Ambiguous Open-domain Questions

Apr 22, 2020
Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer

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Aligned Cross Entropy for Non-Autoregressive Machine Translation

Apr 03, 2020
Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy

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Semi-Autoregressive Training Improves Mask-Predict Decoding

Jan 23, 2020
Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer

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Multilingual Denoising Pre-training for Neural Machine Translation

Jan 23, 2020
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer

* Work in progress 

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ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Dec 03, 2019
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox


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Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

Nov 10, 2019
Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi

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Emerging Cross-lingual Structure in Pretrained Language Models

Nov 10, 2019
Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov

* 10 pages, 7 figures, add contextual word-level alignment of monolingual BERT (v1 -> v2) 

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Zero-shot Entity Linking with Dense Entity Retrieval

Nov 10, 2019
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer

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Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models

Nov 09, 2019
Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis, Florian Metze, Luke Zettlemoyer

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Crowdsourcing a High-Quality Gold Standard for QA-SRL

Nov 08, 2019
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

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Unsupervised Cross-lingual Representation Learning at Scale

Nov 05, 2019
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzm√°n, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov

* 12 pages, 7 figures 

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Generalization through Memorization: Nearest Neighbor Language Models

Nov 01, 2019
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Oct 29, 2019
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, Luke Zettlemoyer

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JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation

Oct 09, 2019
Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer

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A Discrete Hard EM Approach for Weakly Supervised Question Answering

Sep 11, 2019
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

* Published as a conference paper at EMNLP 2019 (long). Code available at 

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Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Sep 09, 2019
Christopher Clark, Mark Yatskar, Luke Zettlemoyer

* In EMNLP 2019 

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BERT for Coreference Resolution: Baselines and Analysis

Sep 01, 2019
Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer

* EMNLP 2019 camera ready version 

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Sparse Networks from Scratch: Faster Training without Losing Performance

Aug 23, 2019
Tim Dettmers, Luke Zettlemoyer

* 9 page NeurIPS 2019 submission 

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