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Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Yonatan Belinkov
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Tao Lei
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Regina Barzilay
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Amir Globerson
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Paper Details:
Year: 2014
Venue:
TACL |
Citations
URL
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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Human Centered NLP with User-Factor Adaptation
Veronica Lynn
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Youngseo Son
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Vivek Kulkarni
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Niranjan Balasubramanian
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H. Andrew Schwartz
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TAG Parsing with Neural Networks and Vector Representations of Supertags
Jungo Kasai
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Bob Frank
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Tom McCoy
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Owen Rambow
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Alexis Nasr
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Preposition Sense Disambiguation and Representation
Hongyu Gong
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Jiaqi Mu
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Suma Bhat
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Pramod Viswanath
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PP Attachment: Where do We Stand?
Daniël de Kok
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Jianqiang Ma
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Corina Dima
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Erhard Hinrichs
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
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Raman Arora
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Matthew R. Gormley
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Neural CRF Parsing
Greg Durrett
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Dan Klein
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Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
Sam Wiseman
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Alexander M. Rush
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Stuart Shieber
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Jason Weston
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Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
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Waleed Ammar
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Chris Dyer
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Eduard Hovy
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Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help
Daniel Bailey
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Yuliya Lierler
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Benjamin Susman
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Prepositional Phrase Attachment over Word Embedding Products
Pranava Swaroop Madhyastha
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Xavier Carreras
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Ariadna Quattoni
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Correcting prepositional phrase attachments using multimodal corpora
Sebastien Delecraz
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Alexis Nasr
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Frederic Bechet
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Benoit Favre
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http://nlp.cs
https://code.google
http://mattmahoney.net/dc/textdata
http://www.cs.cornell
http://www.ark.cs
http://www-nlp.stanford.edu/courses/
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Language
English
Arabic
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