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Separating Disambiguation from Composition in Distributional Semantics
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Stephen Pulman
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo
|
Wanxiang Che
|
Haifeng Wang
|
Ting Liu
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Appropriately Incorporating Statistical Significance in PMI
Om P. Damani
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Shweta Ghonge
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Prior Disambiguation of Word Tensors for Constructing Sentence Vectors
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
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Dimitri Kartsaklis
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Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang
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Jinghui Xie
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Yinhe Zheng
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Xuan Zhu
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Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
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Mohammad Taher Pilehvar
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Nigel Collier
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Leveraging Eventive Information for Better Metaphor Detection and Classification
I-Hsuan Chen
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Yunfei Long
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Qin Lu
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Chu-Ren Huang
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Lexical Substitution for Evaluating Compositional Distributional Models
Maja Buljan
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Sebastian Padó
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Jan Šnajder
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A practical and linguistically-motivated approach to compositional distributional semantics
Denis Paperno
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Nghia The Pham
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Marco Baroni
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Resolving Lexical Ambiguity in Tensor Regression Models of Meaning
Dimitri Kartsaklis
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Nal Kalchbrenner
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Mehrnoosh Sadrzadeh
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Literal and Metaphorical Senses in Compositional Distributional Semantic Models
E.Dario Gutiérrez
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Ekaterina Shutova
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Tyler Marghetis
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Benjamin Bergen
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Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics
Abhijeet Gupta
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Jason Utt
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Sebastian Padó
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Does Free Word Order Hurt? Assessing the Practical Lexical Function Model for Croatian
Zoran Medić
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Jan Šnajder
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Sebastian Padó
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A Vector Model for Type-Theoretical Semantics
Konstantin Sokolov
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One Representation per Word - Does it make Sense for Composition?
Thomas Kober
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Julie Weeds
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John Wilkie
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Jeremy Reffin
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David Weir
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Acquiring distributed representations for verb-object pairs by using word2vec
Miki Iwai
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Takashi Ninomiya
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Kyo Kageura
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http://www.cs.york.ac.uk/semeval2010_WSI/task_14
http://www.cs.ox
Field Of Study
Linguistic Trends
Formal Semantics
Task
Syntactic Parsing
Word Sense Disambiguation
Approach
Deep Learning
Language
English
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