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Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra
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Yoav Artzi
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Getting the Most out of AMR Parsing
Chuan Wang
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Nianwen Xue
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AMR Parsing using Stack-LSTMs
Miguel Ballesteros
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Yaser Al-Onaizan
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World Knowledge for Abstract Meaning Representation Parsing
Charles Welch
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Jonathan K. Kummerfeld
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Song Feng
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Rada Mihalcea
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Polyglot Semantic Parsing in APIs
Kyle Richardson
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Jonathan Berant
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Jonas Kuhn
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A Structured Syntax-Semantics Interface for English-AMR Alignment
Ida Szubert
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Adam Lopez
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Nathan Schneider
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Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas
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Srinivasan Iyer
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Mark Yatskar
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Yejin Choi
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Luke Zettlemoyer
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A Syntactic Neural Model for General-Purpose Code Generation
Pengcheng Yin
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Graham Neubig
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Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Jayant Krishnamurthy
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Luke Zettlemoyer
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Robust Incremental Neural Semantic Graph Parsing
Jan Buys
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Phil Blunsom
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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
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Chunting Zhou
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Junxian He
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Graham Neubig
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Graph Algebraic Combinatory Categorial Grammar
Sebastian Beschke
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Wolfgang Menzel
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From Shakespeare to Twitter: What are Language Styles all about?
Wei Xu
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A constrained graph algebra for semantic parsing with AMRs
Jonas Groschwitz
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Meaghan Fowlie
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Mark Johnson
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Alexander Koller
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http://www.cs.cornell.edu/~dkm/ccgparser
http://deeplearning4j.org/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Semantic Parsing
Biomedical
Approach
Structured Prediction
Language
English
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