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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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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Modeling Context-sensitive Selectional Preference with Distributed Representations
Naoya Inoue
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Yuichiroh Matsubayashi
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Masayuki Ono
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Naoaki Okazaki
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Kentaro Inui
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Model-Free Context-Aware Word Composition
Bo An
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Xianpei Han
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Le Sun
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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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Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober
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Julie Weeds
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Jeremy Reffin
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David Weir
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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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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Neural Network-Based Model for Japanese Predicate Argument Structure Analysis
Tomohide Shibata
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Daisuke Kawahara
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Sadao Kurohashi
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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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Composing Distributed Representations of Relational Patterns
Sho Takase
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Naoaki Okazaki
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Kentaro Inui
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evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal
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Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Compositional Semantics using Feature-Based Models from WordNet
Pablo Gamallo
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Martín Pereira-Fariña
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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://kmcs.nii.ac.jp/
http://www.cs.technion.ac.il/
http://homepages.inf.ed.ac.uk/
http://www.cs.ox.ac.uk/activities/
https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Approach
Deep Learning
Language
English
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