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ORCIDLuke S. Zettlemoyer
Luke Zettlemoyer
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- affiliation: University of Washington, Seattle, Washington, USA
- award (2016): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2020
[j8]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics 8: 64-77 (2020)- [c114]Terra Blevins, Luke Zettlemoyer:
Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders. ACL 2020: 1006-1017 - [c113]Nabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer:
Simple and Effective Retrieve-Edit-Rerank Text Generation. ACL 2020: 2532-2538 - [c112]Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. ACL 2020: 6022-6034 - [c111]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL 2020: 7008-7013 - [c110]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL 2020: 7871-7880 - [c109]Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer:
Active Learning for Coreference Resolution using Discrete Annotation. ACL 2020: 8320-8331 - [c108]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c107]Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CVPR 2020: 10737-10746 - [c106]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. ICLR 2020 - [i73]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. CoRR abs/2001.08210 (2020) - [i72]Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer:
Semi-Autoregressive Training Improves Mask-Predict Decoding. CoRR abs/2001.08785 (2020) - [i71]Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy:
Aligned Cross Entropy for Non-Autoregressive Machine Translation. CoRR abs/2004.01655 (2020) - [i70]Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. CoRR abs/2004.10645 (2020) - [i69]Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer:
Active Learning for Coreference Resolution using Discrete Annotation. CoRR abs/2004.13671 (2020) - [i68]Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer:
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR abs/2005.00652 (2020) - [i67]Terra Blevins, Luke Zettlemoyer:
Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders. CoRR abs/2005.02590 (2020) - [i66]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. CoRR abs/2006.15020 (2020) - [i65]Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Very Deep and Light-weight Transformer. CoRR abs/2008.00623 (2020) - [i64]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. CoRR abs/2008.03156 (2020)
2010 – 2019
- 2019
- [c105]Terra Blevins, Luke Zettlemoyer:
Better Character Language Modeling through Morphology. ACL (1) 2019: 1606-1613 - [c104]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. ACL (1) 2019: 1679-1684 - [c103]Victor Zhong, Luke Zettlemoyer:
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. ACL (1) 2019: 2310-2320 - [c102]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) 2019: 4249-4257 - [c101]Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. ACL (1) 2019: 5918-5925 - [c100]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) 2019: 6097-6109 - [c99]Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer:
Vision-and-Dialog Navigation. CoRL 2019: 394-406 - [c98]Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer:
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. EMNLP/IJCNLP (1) 2019: 1520-1526 - [c97]Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer:
A Discrete Hard EM Approach for Weakly Supervised Question Answering. EMNLP/IJCNLP (1) 2019: 2851-2864 - [c96]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. EMNLP/IJCNLP (1) 2019: 4067-4080 - [c95]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. EMNLP/IJCNLP (1) 2019: 5359-5368 - [c94]Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer:
Learning Programmatic Idioms for Scalable Semantic Parsing. EMNLP/IJCNLP (1) 2019: 5425-5434 - [c93]Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer:
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. EMNLP/IJCNLP (1) 2019: 5435-5445 - [c92]Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld:
BERT for Coreference Resolution: Baselines and Analysis. EMNLP/IJCNLP (1) 2019: 5802-5807 - [c91]Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer:
Mask-Predict: Parallel Decoding of Conditional Masked Language Models. EMNLP/IJCNLP (1) 2019: 6111-6120 - [c90]Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy:
Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) 2019: 2669-2680 - [c89]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) 2019: 3597-3608 - [i63]Fei Liu, Luke Zettlemoyer, Jacob Eisenstein:
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. CoRR abs/1902.01541 (2019) - [i62]Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, Luke Zettlemoyer:
Improving Semantic Parsing for Task Oriented Dialog. CoRR abs/1902.06000 (2019) - [i61]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. CoRR abs/1903.07785 (2019) - [i60]Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer:
Learning Programmatic Idioms for Scalable Semantic Parsing. CoRR abs/1904.09086 (2019) - [i59]Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer:
Constant-Time Machine Translation with Conditional Masked Language Models. CoRR abs/1904.09324 (2019) - [i58]Abdelrahman Mohamed, Dmytro Okhonko, Luke Zettlemoyer:
Transformers with convolutional context for ASR. CoRR abs/1904.11660 (2019) - [i57]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. CoRR abs/1906.00591 (2019) - [i56]Terra Blevins, Luke Zettlemoyer:
Better Character Language Modeling Through Morphology. CoRR abs/1906.01037 (2019) - [i55]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR abs/1906.02900 (2019) - [i54]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR abs/1906.02916 (2019) - [i53]Victor Zhong, Luke Zettlemoyer:
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. CoRR abs/1906.05373 (2019) - [i52]Tim Dettmers, Luke Zettlemoyer:
Sparse Networks from Scratch: Faster Training without Losing Performance. CoRR abs/1907.04840 (2019) - [i51]Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer:
Vision-and-Dialog Navigation. CoRR abs/1907.04957 (2019) - [i50]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR abs/1907.10529 (2019) - [i49]Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov:
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR abs/1907.11692 (2019) - [i48]Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
BERT for Coreference Resolution: Baselines and Analysis. CoRR abs/1908.09091 (2019) - [i47]Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. CoRR abs/1909.03683 (2019) - [i46]Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer:
A Discrete Hard EM Approach for Weakly Supervised Question Answering. CoRR abs/1909.04849 (2019) - [i45]Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer:
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. CoRR abs/1910.02216 (2019) - [i44]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR abs/1910.13461 (2019) - [i43]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. CoRR abs/1911.00172 (2019) - [i42]Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. CoRR abs/1911.01464 (2019) - [i41]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - [i40]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR abs/1911.03243 (2019) - [i39]Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis, Florian Metze, Luke Zettlemoyer:
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models. CoRR abs/1911.03782 (2019) - [i38]Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer:
Zero-shot Entity Linking with Dense Entity Retrieval. CoRR abs/1911.03814 (2019) - [i37]Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi:
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. CoRR abs/1911.03868 (2019) - [i36]Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CoRR abs/1912.01734 (2019) - 2018
- [j7]Lucy Simko, Luke Zettlemoyer, Tadayoshi Kohno:
Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution. Proc. Priv. Enhancing Technol. 2018(1): 127-144 (2018) - [c88]Terra Blevins, Omer Levy, Luke Zettlemoyer:
Deep RNNs Encode Soft Hierarchical Syntax. ACL (2) 2018: 14-19 - [c87]Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer:
Neural Semantic Parsing. ACL (5) 2018: 17-18 - [c86]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. ACL (1) 2018: 87-96 - [c85]Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer:
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. ACL (2) 2018: 364-369 - [c84]Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer:
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. ACL (2) 2018: 732-739 - [c83]Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. ACL (1) 2018: 2051-2060 - [c82]Michael Petrochuk, Luke Zettlemoyer:
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach. EMNLP 2018: 554-558 - [c81]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. EMNLP 2018: 607-613 - [c80]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP 2018: 1499-1509 - [c79]Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Mapping Language to Code in Programmatic Context. EMNLP 2018: 1643-1652 - [c78]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [c77]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. EMNLP 2018: 3772-3782 - [c76]Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst:
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. LREC 2018 - [c75]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) 2018: 560-568 - [c74]Kenton Lee, Luheng He, Luke Zettlemoyer:
Higher-Order Coreference Resolution with Coarse-to-Fine Inference. NAACL-HLT (2) 2018: 687-692 - [c73]Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan:
Supervised Open Information Extraction. NAACL-HLT 2018: 885-895 - [c72]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT 2018: 1875-1885 - [c71]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep Contextualized Word Representations. NAACL-HLT 2018: 2227-2237 - [i35]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep contextualized word representations. CoRR abs/1802.05365 (2018) - [i34]Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst:
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. CoRR abs/1802.08979 (2018) - [i33]Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer:
AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR abs/1803.07640 (2018) - [i32]Kenton Lee, Luheng He, Luke Zettlemoyer:
Higher-order Coreference Resolution with Coarse-to-fine Inference. CoRR abs/1804.05392 (2018) - [i31]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR abs/1804.06059 (2018) - [i30]Michael Petrochuk, Luke Zettlemoyer:
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach. CoRR abs/1804.08798 (2018) - [i29]Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer:
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. CoRR abs/1805.03716 (2018) - [i28]Terra Blevins, Omer Levy, Luke Zettlemoyer:
Deep RNNs Encode Soft Hierarchical Syntax. CoRR abs/1805.04218 (2018) - [i27]Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer:
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. CoRR abs/1805.04787 (2018) - [i26]Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. CoRR abs/1805.05377 (2018) - [i25]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. CoRR abs/1807.04905 (2018) - [i24]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i23]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR abs/1808.08949 (2018) - [i22]Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Mapping Language to Code in Programmatic Context. CoRR abs/1808.09588 (2018) - [i21]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. CoRR abs/1808.09653 (2018) - [i20]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. CoRR abs/1808.10485 (2018) - [i19]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR abs/1810.08854 (2018) - 2017
- [c70]Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer:
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. ACL (1) 2017: 146-157 - [c69]Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer:
Deep Semantic Role Labeling: What Works and What's Next. ACL (1) 2017: 473-483 - [c68]Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer:
Learning a Neural Semantic Parser from User Feedback. ACL (1) 2017: 963-973 - [c67]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. ACL (1) 2017: 1601-1611 - [c66]Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer:
Zero-Shot Relation Extraction via Reading Comprehension. CoNLL 2017: 333-342 - [c65]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CVPR 2017: 6335-6344 - [c64]Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer:
End-to-end Neural Coreference Resolution. EMNLP 2017: 188-197 - [i18]Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer:
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. CoRR abs/1704.08381 (2017) - [i17]Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer:
Learning a Neural Semantic Parser from User Feedback. CoRR abs/1704.08760 (2017) - [i16]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. CoRR abs/1705.03551 (2017) - [i15]Kenton Lee, Omer Levy, Luke Zettlemoyer:
Recurrent Additive Networks. CoRR abs/1705.07393 (2017) - [i14]Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer:
Zero-Shot Relation Extraction via Reading Comprehension. CoRR abs/1706.04115 (2017) - [i13]Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer:
End-to-end Neural Coreference Resolution. CoRR abs/1707.07045 (2017) - [i12]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. CoRR abs/1711.05885 (2017) - 2016
- [c63]Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi:
Document-level Sentiment Inference with Social, Faction, and Discourse Context. ACL (1) 2016 - [c62]Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Summarizing Source Code using a Neural Attention Model. ACL (1) 2016 - [c61]Mark Yatskar, Luke S. Zettlemoyer, Ali Farhadi:
Situation Recognition: Visual Semantic Role Labeling for Image Understanding. CVPR 2016: 5534-5542 - [c60]Chloé Kiddon, Luke Zettlemoyer, Yejin Choi:
Globally Coherent Text Generation with Neural Checklist Models. EMNLP 2016: 329-339 - [c59]Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi:
A Theme-Rewriting Approach for Generating Algebra Word Problems. EMNLP 2016: 1617-1628 - [c58]Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer:
Human-in-the-Loop Parsing. EMNLP 2016: 2337-2342 - [c57]Kenton Lee, Mike Lewis, Luke Zettlemoyer:
Global Neural CCG Parsing with Optimality Guarantees. EMNLP 2016: 2366-2376 - [c56]Mike Lewis, Kenton Lee, Luke Zettlemoyer:
LSTM CCG Parsing. HLT-NAACL 2016: 221-231 - [i11]Kenton Lee, Mike Lewis, Luke Zettlemoyer:
Global Neural CCG Parsing with Optimality Guarantees. CoRR abs/1607.01432 (2016) - [i10]Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi:
A Theme-Rewriting Approach for Generating Algebra Word Problems. CoRR abs/1610.06210 (2016) - [i9]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CoRR abs/1612.00901 (2016) - 2015
- [c55]Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer:
Scalable Semantic Parsing with Partial Ontologies. ACL (1) 2015: 1311-1320 - [c54]Luheng He, Mike Lewis, Luke Zettlemoyer:
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language. EMNLP 2015: 643-653 - [c53]Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi:
Mise en Place: Unsupervised Interpretation of Instructional Recipes. EMNLP 2015: 982-992 - [c52]Mike Lewis, Luheng He, Luke Zettlemoyer:
Joint A* CCG Parsing and Semantic Role Labelling. EMNLP 2015: 1444-1454 - [c51]Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer:
Event Detection and Factuality Assessment with Non-Expert Supervision. EMNLP 2015: 1643-1648 - [c50]Yoav Artzi, Kenton Lee, Luke Zettlemoyer:
Broad-coverage CCG Semantic Parsing with AMR. EMNLP 2015: 1699-1710 - [c49]Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak:
Robot Programming by Demonstration with situated spatial language understanding. ICRA 2015: 2014-2020 - [c48]Oleksandr Polozov, Eleanor O'Rourke, Adam M. Smith, Luke Zettlemoyer, Sumit Gulwani, Zoran Popovic:
Personalized Mathematical Word Problem Generation. IJCAI 2015: 381-388 - [i8]