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Learning Semantically and Additively Compositional Distributional Representations
Ran Tian
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Naoaki Okazaki
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Kentaro Inui
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Model-Free Context-Aware Word Composition
Bo An
|
Xianpei Han
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Le Sun
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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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The Challenge of Composition in Distributional and Formal Semantics
Ran Tian
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Koji Mineshima
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Pascual Martínez-Gómez
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Acquisition of Phrase Correspondences Using Natural Deduction Proofs
Hitomi Yanaka
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Koji Mineshima
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Pascual Martínez-Gómez
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Daisuke Bekki
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Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi
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Ran Tian
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Kentaro Inui
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http://medialab.di.unipi.it/wiki/
https://dumps.wikimedia.org/enwiki/
http://nlp.stanford.edu/software/
http://nlp.stanford.edu/projects/
http://homepages.inf.ed.ac.uk/
http://www.cs.ox.ac.uk/activities/
https://www.csie.ntu.edu.tw/
http://research.microsoft.com/en-us/
Field Of Study
Linguistic Trends
Discourse
Lexical Semantics
Distributional Semantics
Embeddings
Formal Semantics
Task
Tagging
Semantic Parsing
Semantic Similarity
Question Answering
Paraphrasing
Approach
Crowd Sourcing
Language
Multilingual
English
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