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Probabilistic Modeling of Joint-context in Distributional Similarity
Oren Melamud
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Ido Dagan
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Jacob Goldberger
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Idan Szpektor
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Deniz Yuret
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Paper Details:
Month: June
Year: 2014
Location: Ann Arbor, Michigan
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
LAMB: A Good Shepherd of Morphologically Rich Languages
Sebastian Ebert
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Thomas Müller
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Hinrich Schütze
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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Emmanuele Chersoni
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Enrico Santus
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Alessandro Lenci
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Philippe Blache
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Chu-Ren Huang
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Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Zhe Zhao
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Tao Liu
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Shen Li
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Bofang Li
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Xiaoyong Du
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Modeling Word Meaning in Context with Substitute Vectors
Oren Melamud
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Ido Dagan
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Jacob Goldberger
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Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
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Germán Kruszewski
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Angeliki Lazaridou
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Marco Baroni
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy
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Yoav Goldberg
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Ido Dagan
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Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Abhijeet Gupta
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Gemma Boleda
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Sebastian Padó
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Multilingual Reliability and “Semantic” Structure of Continuous Word Spaces
Maximilian Köper
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Christian Scheible
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Sabine Schulte im Walde
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http://code.google.com/p/word2vec
http://code.google.com/p/berkeleylm/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Language
English
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