2018

NL2Bash: A corpus and semantic parser for natural language interface to the Linux operating system

X.Victoria Lin, C. Wang, L. Zettlemoyer, M.D. ErnstLREC: Language Resources and Evaluation Conference , 2018 .

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum

O. Levy, K. Lee, N. FitzGerald, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL) , 2018 .
 

Supervised Open Information Extraction

G. Stanovsky, J. Michael, L. Zettlemoyer, I. DaganProceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 .
 

Ultra-Fine Entity Typing

E. Choi, O. Levy, Y. Choi, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL) , 2018 .
 

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

L. He, K. Lee, O. Levy, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL) , 2018 .  *Best Paper Award, Honorable Mention*
 

Large-Scale QA-SRL Parsing

N. FitzGerald, J. Michael, L. He, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL) , 2018 .  *Best Paper Award, Honorable Mention*
 

Higher-Order Coreference Resolution with Coarse-to-Fine Inference

K. Lee, L. He, L. ZettlemoyerProceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 .
 

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

M. Iyyer, J. Wieting, K. Gimpel, L. ZettlemoyerProceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 .
 

Deep Contextualized Word Representations

M. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, L. ZettlemoyerProceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 .  *Best Paper Award*
 

Crowdsourcing Question-Answer Meaning Representations

J. Michael, G. Stanovsky, L. He, I. Dagan, L. ZettlemoyerProceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 .
 

Deep RNNs Encode Soft Hierarchical Syntax

T. Blevins, O. Levy, L. ZettlemoyerProceedings of the Association for Computational Linguistics (ACL) , 2018 .
 

2017

Program synthesis from natural language using recurrent neural networks

X.Victoria Lin, C. Wang, D. Pang, K. Vu, L. Zettlemoyer, M.D. ErnstUniversity of Washington Department of Computer Science and Engineering :UW-CSE-17-03-01 , 2017 .

Commonly Uncommon: Semantic Sparsity in Situation Recognition

M. Yatskar, V. Ordonez, L. Zettlemoyer, A. Farhadi2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017 : 6335-6344 .
 

Recurrent Additive Networks

K. Lee, O. Levy, L. ZettlemoyerarXiv:1705.07393 , 2017 .

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

M. Joshi, E. Choi, D. Weld, L. ZettlemoyerConference of the Association for Computational Linguistics (ACL) , 2017 .

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

I. Konstas, S. Iyer, M. Yatskar, Y. Choi, L. ZettlemoyerConference of the Association for Computational Linguistics (ACL) , 2017 .

Zero-Shot Relation Extraction via Reading Comprehension

O. Levy, M. Seo, E. Choi, L. ZettlemoyerConference on Natural Language Learning (CoNLL) , 2017 .
 

Learning a Neural Semantic Parser from User Feedback

S. Iyer, Y. Konstas, A. Cheung, J. Krishnamurthy, L. ZettlemoyerConference of the Association of Computational Linguistics (ACL) , 2017 .

Deep Semantic Role Labeling: What Works and What's Next

L. He, K. Lee, M. Lewis, L. ZettlemoyerConference of the Association for Computational Linguistics (ACL) , 2017 .

Commonly Uncommon: Semantic Sparsity in Situation Recognition

M. Yatskar, V. Ordóñez, L. Zettlemoyer, A. FarhadiComputer Vision and Pattern Recognition (CVPR) , 2017 .

End-to-end Neural Coreference Resolution

K. Lee, L. He, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2017 .

2016

LSTM CCG Parsing

M. Lewis, K. Lee, L. ZettlemoyerConference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2016 .
 

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

M. Yatskar, L. Zettlemoyer, A. FarhadiProceedings of the Conference of Computer Vision and Pattern Recognition (CVPR) , 2016 .

Human-in-the-Loop Parsing

L. He, J. Michael, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2016 .
 

Summarizing Source Code using a Neural Attention Model

S. Iyer, Y. Konstas, A. Cheung, L. ZettlemoyerAnnual Meeting of the Association for Computational Linguistics (ACL) , 2016 .

Global Neural CCG Parsing with Optimality Guarantees

K. Lee, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Process (EMNLP) , 2016 .  *Best Paper Award*
 

Document-level Sentiment Inference with Social, Faction, and Discourse Context

E. Choi, H. Rashkin, L. Zettlemoyer, Y. ChoiConference of the Association for Computational Linguistics (ACL) , 2016 .
 

A Theme-Rewriting Approach for Generating Algebra Word Problems

R. Koncel-Kedziorski, I. Konstas, L. Zettlemoyer, H. HajishirziConference on Empirical Methods in Natural Language Processing (EMNLP) , 2016 .
 

Globally Coherent Text Generation with Neural Checklist Models

C. Kiddon, L. Zettlemoyer, Y. ChoiConference on Empirical Methods in Natural Language Processing (EMNLP) , 2016 .
 

2015

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language

L. He, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2015 .

Robot Programming by Demonstration with Situated Spatial Language Understanding

M. Forbes, R.P.N. Rao, L. Zettlemoyer, M. CakmakInternational Conference on Robotics and Automation (ICRA) , 2015 .
 

Scalable Semantic Parsing with Partial Ontologies

E. Choi, T. Kwiatkowski, L. ZettlemoyerAssociation for Computational Linguistics (ACL) , 2015 .
 

Personalized Mathematical Word Problem Generation

O. Polozov, E. O'Rourke, A.M. Smith, L. Zettlemoyer, S. Gulwani, Z. PopovićInternational Joint Conference on Artificial Intelligence (IJCAI) , 2015 .
 

Mise en Place: Unsupervised Interpretation of Instructional Recipes

C. Kiddon, G.Thandavam Ponnuraj, L. Zettlemoyer, Y. ChoiConference on Empirical Methods in Natural Language Processing (EMNLP) , 2015 .
 

Joint A CCG Parsing and Semantic Role Labeling

M. Lewis, L. He, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2015 .

Broad-coverage CCG Semantic Parsing with AMR

Y. Artzi, K. Lee, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2015 .  *Best Paper Award*

Extreme Extraction: Only One Hour per Relation

R. Hoffmann, L. Zettlemoyer, D.S. WeldCoRR  abs/1506.06418 , 2015 .
 

2014

Morpho-syntactic Lexical Generalization for CCG Semantic Parsing

A.X. Wang, T. Kwiatkowski, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2014 .
 

Learning to Automatically Solve Algebra Word Problems

N. Kushman, Y. Artzi, L. Zettlemoyer, R. BarzilayAssociation for Computational Linguistics (ACL) , 2014 .
 

Open Question Answering Over Curated and Extracted Knowledge Bases

A. Fader, O. Etzioni, L. ZettlemoyerConference on Knowledge Discovery and Data Mining (KDD) , 2014 .

See No Evil, Say No Evil: Description Generation from Densely Labeled Images

M. Yatskar, M. Galley, L. Vanderwende, L. ZettlemoyerJoint Conference on Lexical and Computation Semantics (*SEM) , 2014 .
 

Context-dependent Semantic Parsing for Time Expressions

K. Lee, Y. Artzi, J. Dodge, L. ZettlemoyerAssociation for Computational Linguistics (ACL) , 2014 .

Introduction to the special issue on learning semantics.

A. Bordes, L. Bottou, R. Collobert, D. Roth, J. Weston, L. ZettlemoyerMachine Learning  94 , 2014 : 127–131 .
 

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions

C. Matuszek, L. Bo, L. Zettlemoyer, D. FoxConference on Artificial Intelligence (AAAI) , 2014 .
 

2013

Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves

H. Hajishirzi, L. Zilles, D.S. Weld, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2013 .
 

Modeling Missing Data in Distant Supervision for Information Extraction.

A. Ritter, L. Zettlemoyer,  Mausam, O. EtzioniTransactions of the Association for Computational Linguistics (TACL)  1 , 2013 : 367–378 .

Scaling semantic parsers with on-the-fly ontology matching

T. Kwiatkowski, E. Choi, Y. Artzi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2013 .
 

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions.

Y. Artzi, L. ZettlemoyerTransactions of the Association for Computational Linguistics (TACL)  1 , 2013 : 49–62 .

Lightly Supervised Learning of Procedural Dialog Systems

S. Volkova, P. Choudhury, C. Quirk, B. Dolan, L.S. ZettlemoyerAssociation for Computational Linguistics (ACL) , 2013 .
 

Paraphrase-Driven Learning for Open Question Answering

A. Fader, L. Zettlemoyer, O. EtzioniAssociation for Computational Linguistics (ACL) , 2013 .

Automatic Idiom Identification in Wiktionary

G. Muzny, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2013 .

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions

N.Fazil Ayan, A. Mandal, M. Frandsen, J. Zheng, P. Blasco, A. Kathol, F. Béchet, B. Favre, A. Marin, T. Kwiatkowski, M. Ostendorf, L. Zettlemoyer, P. Salletmayr, J. Hirschberg, S. StoyanchevIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)IEEE , 2013 .
 

3D Wikipedia: using online text to automatically label and navigate reconstructed geometry

B.C. Russell, R. Martin-Brualla, D.J. Butler, S.M. Seitz, L. ZettlemoyerACM Trans. Graph. (SIGGRAPH Asia)  32 , 2013 .

Learning Distributions over Logical Forms for Referring Expression Generation.

N. FitzGerald, Y. Artzi, L.S. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2013 .

Learning to Relate Literal and Sentimental Descriptions of Visual Properties.

M. Yatskar, S. Volkova, A. Celikyilmaz, B. Dolan, L.S. ZettlemoyerNorth American Association for Computational Linguistics (NAACL) , 2013 .
 

2012

Discriminative Learning for Joint Template Filling

E. Minkov, L. ZettlemoyerAssociation for Computational Linguistics (ACL) , 2012 : 845–853 .
 

Learning to Parse Natural Language Commands to a Robot Control System

C. Matuszek, E. Herbst, L. Zettlemoyer, D. FoxInternational Symposium on Experimental Robotics (ISER) , 2012 .
 

A Joint Model of Language and Perception for Grounded Attribute Learning

C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. FoxProceedings of the International Conference on Machine Learning (ICML) , 2012 .
 

Learning STRIPS Operators from Noisy and Incomplete Observations

K. Mourão, L.S. Zettlemoyer, R.P.A. Petrick, M. SteedmanConference on Uncertainty in Artificial Intelligence (UAI)  abs/1210.4889 , 2012 .
 

RevMiner: an extractive interface for navigating reviews on a smartphone

J. Huang, O. Etzioni, L. Zettlemoyer, K. Clark, C. LeeProceedings of the ACM symposium on User interface software and technology (UIST)ACM , 2012 : 3–12 .
 

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings

T. Kwiatkowski, S. Goldwater, L. Zettlemoyer,  SteedmanProceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL) , 2012 .
 

2011

Bootstrapping Semantic Parsers from Conversations

Y. Artzi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP) , 2011 .
 

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2011 : 1512–1523 .
 

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. WeldProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) , 2011 .

2010

Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2010 .
 

Reading Between the Lines: Learning to Map High-level Instructions to Commands

S.R.K. Branavan, L. Zettlemoyer, R. BarzilayProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) , 2010 .
 

2009

Learning Context-dependent Mappings from Sentences to Logical Form

L. Zettlemoyer, M. CollinsProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) , 2009 .
 

Reinforcement Learning for Mapping Instructions to Actions

S.R.K. Branavan, H. Chen, L. Zettlemoyer, R. BarzilayProceeding of the Annual Meeting of the Association for Computational Linguistics (ACL) , 2009 .  *Best Paper Award*
 

2008

A Generative Model for Parsing Natural Language to Meaning Representations

W. Lu, H.T. Ng, W.S. Lee, L. ZettlemoyerProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2008 : 783–792 .
 

Multi-agent filtering with infinitely nested beliefs

L. Zettlemoyer, B. Milch, L.P. KaelblingNeural Information Processing Systems (NIPS) , 2008 .
 

Lifted probabilistic inference with counting formulas

B. Milch, L. Zettlemoyer, K. Kersting, M. Haimes, L.P. KaelblingProceedings of the National Conference on Artificial intelligence (AAAI) , 2008 : 1062–1068 .
 

2007

Selective Phrase Pair Extraction for Improved Statistical Machine Translation

L.S. Zettlemoyer, R.C. MooreConference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2007 .

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form

L.S. Zettlemoyer, M. CollinsProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2007 .

Learning Symbolic Models of Stochastic Domains

H.M. Pasula, L.S. Zettlemoyer, L.P. KaelblingJournal of Artificial Intelligence Research  29 , 2007 .
 

Learning Probabilistic Relational Dynamics for Multiple Tasks

A. Deshpande, B. Milch, L.S. Zettlemoyer, L.P. KaelblingProceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) , 2007 .
 

Logical Particle Filtering

L.S. Zettlemoyer, H.M. Pasula, L.P. KaelblingProceedings of the Dagstuhl Seminar on Probabilistic, Logical, and Relational Learning , 2007 .

2005

Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

L.S. Zettlemoyer, M. CollinsProceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) , 2005 .  *Best Paper Award*

Learning Planning Rules in Noisy Stochastic Worlds

L.S. Zettlemoyer, H.M. Pasula, L.P. KaelblingProceedings of the National Conference on Artificial Intelligence (AAAI) , 2005 .
 

2004

Learning Probabilistic Relational Planning Rules

H.M. Pasula, L.S. Zettlemoyer, L.P. KaelblingProceedings of the International Conference on Automated Planning and Scheduling (ICAPS) , 2004 .
 

2000

Visual generalization in programming by example

R.St. Amant, H. Lieberman, R. Potter, L.S. Zettlemoyer Communications of the ACM  43 :3 , 2000 .
 

The user interface as an agent environment

R.St. Amant, L.S. ZettlemoyerProceedings of the International Conference on Autonomous Agents (Agents) , 2000 .
 

1999

IBOTS: Agent control through the user interface

L.S. Zettlemoyer, R.St. Amant, M.S. DulbergInternational Conference on Intelligent User Interfaces (IUI) , 1999 .
 

Towards Narrative-Centered Learning Environments

B.W. Mott, C.C. Callaway, L.S. Zettlemoyer, S.Y. Lee, J.C. LesterWorking Notes of the AAAI Fall Symposium on Narrative Intelligence , 1999 .
 

Explanatory Lifelike Avatars: Performing User-Centered Tasks in 3D Learning Environments

J.C. Lester, L.S. Zettlemoyer, J.P. Grégoire, W.H. BaresProceedings of the International Conference on Autonomous Agents (Agents) , 1999 .
 

A visual medium for programmatic control of interactive applications

L.S. Zettlemoyer, R.St. AmantConference on Human Factors in Computing Systems (CHI) , 1999 .
 

Detecting and Correcting Misconceptions with Lifelike Avatars in 3D Learning Environments

J.P. Grégoire, L.S. Zettlemoyer, J.C. LesterProceedings of the World Conference on Artificial Intelligence in Education (AI-ED) , 1999 .
 

An Imprecise Mouse Gesture for the Fast Activation of Controls

M.S. Dulberg, R.St. Amant, L.S. ZettlemoyerProceedings of International Conference on Human-Computer Interaction (INTERACT) , 1999 .
 

1998

Task-Sensitive Cinematography Interfaces for Interactive 3D Learning Environments

W.H. Bares, L.S. Zettlemoyer, D.W. Rodriguez, J.C. LesterProceedings of the International Conference on Intelligent User Interfaces (IUI) , 1998 .
 

Habitable 3D Learning Environments for Situated Learning

W.H. Bares, L.S. Zettlemoyer, J.C. LesterProceedings of the International Conference on Intelligent Tutoring Systems (ITS) , 1998 .