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Imitation Learning of Agenda-based Semantic Parsers
Jonathan Berant
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Percy Liang
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Paper Details:
Year: 2015
Venue:
TACL |
Citations
URL
Constraint-Based Question Answering with Knowledge Graph
Junwei Bao
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Nan Duan
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Zhao Yan
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Ming Zhou
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Tiejun Zhao
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Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
Bo Chen
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Bo An
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Le Sun
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Xianpei Han
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Improving Semantic Parsing via Answer Type Inference
Semih Yavuz
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Izzeddin Gur
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Yu Su
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Mudhakar Srivatsa
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Xifeng Yan
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On Generating Characteristic-rich Question Sets for QA Evaluation
Yu Su
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Huan Sun
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Brian Sadler
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Mudhakar Srivatsa
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Izzeddin Gür
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Zenghui Yan
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Xifeng Yan
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Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra
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Yoav Artzi
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Universal Semantic Parsing
Siva Reddy
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Oscar Täckström
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Slav Petrov
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Mark Steedman
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Mirella Lapata
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Learning to Paraphrase for Question Answering
Li Dong
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Jonathan Mallinson
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Siva Reddy
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Mirella Lapata
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Recovering Question Answering Errors via Query Revision
Semih Yavuz
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Izzeddin Gur
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Yu Su
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Xifeng Yan
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Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
Yuchen Zhang
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Panupong Pasupat
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Percy Liang
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Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
Jonathan Herzig
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Jonathan Berant
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Knowledge Base Question Answering via Encoding of Complex Query Graphs
Kangqi Luo
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Fengli Lin
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Xusheng Luo
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Kenny Zhu
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Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Minh Lê
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Antske Fokkens
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Efficiency-aware Answering of Compositional Questions using Answer Type Prediction
David Ziegler
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Abdalghani Abujabal
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Rishiraj Saha Roy
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Gerhard Weikum
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Learning an Executable Neural Semantic Parser
Jianpeng Cheng
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Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Weakly-Supervised Neural Semantic Parsing with a Generative Ranker
Jianpeng Cheng
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Mirella Lapata
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The Web as a Knowledge-Base for Answering Complex Questions
Alon Talmor
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Jonathan Berant
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Sentence Rewriting for Semantic Parsing
Bo Chen
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Le Sun
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Xianpei Han
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Bo An
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CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
Zihang Dai
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Lei Li
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Wei Xu
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Question Answering on Freebase via Relation Extraction and Textual Evidence
Kun Xu
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Siva Reddy
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Yansong Feng
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Songfang Huang
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Dongyan Zhao
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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang
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Jonathan Berant
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Quoc Le
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Kenneth D. Forbus
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Ni Lao
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Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng
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Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Neural Semantic Parsing over Multiple Knowledge-bases
Jonathan Herzig
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Jonathan Berant
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Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
Alane Suhr
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Yoav Artzi
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Transforming Dependency Structures to Logical Forms for Semantic Parsing
Siva Reddy
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Oscar Täckström
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Michael Collins
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Tom Kwiatkowski
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Dipanjan Das
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Mark Steedman
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Mirella Lapata
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
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Jason Eisner
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UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound
James Goodman
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Andreas Vlachos
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Jason Naradowsky
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Evaluating Semantic Parsing against a Simple Web-based Question Answering Model
Alon Talmor
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Mor Geva
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Jonathan Berant
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Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan
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Eric Xing
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A Study of Imitation Learning Methods for Semantic Role Labeling
Travis Wolfe
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Mark Dredze
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Benjamin Van Durme
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Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
Shashi Narayan
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Siva Reddy
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Shay B. Cohen
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https://www.codalab.org/worksheets/
https://developers.google.com/
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Semantic Parsing
Information Extraction
Question Answering
Approach
Structured Prediction
Language
English
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