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Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing
Angeliki Lazaridou
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Eva Maria Vecchi
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Marco Baroni
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
Ekaterina Kochmar
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Ted Briscoe
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Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Evaluation of Word Vector Representations by Subspace Alignment
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Guillaume Lample
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Chris Dyer
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Rotated Word Vector Representations and their Interpretability
Sungjoon Park
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JinYeong Bak
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Alice Oh
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Typology of Adjectives Benchmark for Compositional Distributional Models
Daria Ryzhova
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Maria Kyuseva
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Denis Paperno
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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning
Yulia Tsvetkov
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Sunayana Sitaram
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Manaal Faruqui
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Guillaume Lample
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Patrick Littell
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David Mortensen
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Alan W Black
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Lori Levin
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Chris Dyer
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Low-Rank Tensors for Scoring Dependency Structures
Tao Lei
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Yu Xin
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Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Sparse Overcomplete Word Vector Representations
Manaal Faruqui
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Yulia Tsvetkov
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Dani Yogatama
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Chris Dyer
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Noah A. Smith
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Non-distributional Word Vector Representations
Manaal Faruqui
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Chris Dyer
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
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Shashi Narayan
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Shay B. Cohen
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Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
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Manaal Faruqui
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Chris Dyer
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Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
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Antske Fokkens
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http://nlp.stanford.edu:8080/parser/
http://clic.cimec
http://wacky.sslmit.unibo.it
http://www.natcorp.ox.ac.uk
http://clic.cimec.unitn.it/composes/
http://scikit-learn.org/
Field Of Study
Linguistic Trends
Distributional Semantics
Task
Syntactic Parsing
Language
English
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