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Experimental Support for a Categorical Compositional Distributional Model of Meaning
Edward Grefenstette
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Mehrnoosh Sadrzadeh
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar
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Eduard Hovy
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Towards Syntax-aware Compositional Distributional Semantic Models
Lorenzo Ferrone
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Fabio Massimo Zanzotto
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A Markovian approach to distributional semantics with application to semantic compositionality
Édouard Grave
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Guillaume Obozinski
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Francis Bach
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Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind
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Yaakov HaCohen-Kerner
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Distributional Inclusion Hypothesis for Tensor-based Composition
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Compositional Distributional Models of Meaning
Mehrnoosh Sadrzadeh
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Dimitri Kartsaklis
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A Comparison of Vector-based Representations for Semantic Composition
William Blacoe
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Mirella Lapata
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Semantic Compositionality through Recursive Matrix-Vector Spaces
Richard Socher
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Brody Huval
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Christopher D. Manning
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Andrew Y. Ng
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Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki
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Kevin Duh
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Masashi Shimbo
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Yuji Matsumoto
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Studying the Recursive Behaviour of Adjectival Modification with Compositional Distributional Semantics
Eva Maria Vecchi
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Roberto Zamparelli
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Marco Baroni
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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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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher
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Alex Perelygin
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Jean Wu
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Jason Chuang
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Christopher D. Manning
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Andrew Ng
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Christopher Potts
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Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Ivan Vulić
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Marie-Francine Moens
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Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Dmitrijs Milajevs
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Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Matthew Purver
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Reducing Dimensions of Tensors in Type-Driven Distributional Semantics
Tamara Polajnar
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Luana Fǎgǎrǎşan
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Stephen Clark
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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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Determining Semantic Textual Similarity 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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Entailment above the word level in distributional semantics
Marco Baroni
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Raffaella Bernardi
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Ngoc-Quynh Do
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Chung-chieh Shan
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Evaluating Distributional Models of Semantics for Syntactically Invariant Inference
Jackie Chi Kit Cheung
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Gerald Penn
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Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases
Matthias Hartung
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Fabian Kaupmann
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Soufian Jebbara
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Philipp Cimiano
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Measuring Word Meaning in Context
Katrin Erk
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Diana McCarthy
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Nicholas Gaylord
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Probabilistic Distributional Semantics with Latent Variable Models
Diarmuid Ó Séaghdha
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Anna Korhonen
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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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A SICK cure for the evaluation of compositional distributional semantic models
Marco Marelli
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Stefano Menini
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Marco Baroni
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Luisa Bentivogli
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Raffaella Bernardi
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Roberto Zamparelli
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A Tensor-based Factorization Model of Semantic Compositionality
Tim Van de Cruys
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Thierry Poibeau
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Anna Korhonen
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Good News or Bad News: Using Affect Control Theory to Analyze Readers’ Reaction Towards News Articles
Areej Alhothali
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Jesse Hoey
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Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
Jackie Chi Kit Cheung
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Gerald Penn
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The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann
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Phil Blunsom
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A relatedness benchmark to test the role of determiners in compositional distributional semantics
Raffaella Bernardi
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Georgiana Dinu
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Marco Marelli
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Marco Baroni
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Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann
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Phil Blunsom
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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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Vector space semantics with frequency-driven motifs
Shashank Srivastava
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Eduard Hovy
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A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
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Edward Grefenstette
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Phil Blunsom
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Probabilistic Soft Logic for Semantic Textual Similarity
Islam Beltagy
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Katrin Erk
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Raymond Mooney
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A Generalisation of Lexical Functions for Composition in Distributional Semantics
Antoine Bride
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Tim Van de Cruys
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Nicholas Asher
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Deep Unordered Composition Rivals Syntactic Methods for Text Classification
Mohit Iyyer
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Varun Manjunatha
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Jordan Boyd-Graber
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Hal Daumé III
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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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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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Robust Co-occurrence Quantification for Lexical Distributional Semantics
Dmitrijs Milajevs
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Mehrnoosh Sadrzadeh
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Matthew Purver
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Polish evaluation dataset for compositional distributional semantics models
Alina Wróblewska
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Katarzyna Krasnowska-Kieraś
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Improving Semantic Composition with Offset Inference
Thomas Kober
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Julie Weeds
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Jeremy Reffin
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David Weir
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Learning Semantics and Selectional Preference of Adjective-Noun Pairs
Karl Moritz Hermann
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Chris Dyer
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Phil Blunsom
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Stephen Pulman
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Saarland: Vector-based models of semantic textual similarity
Georgiana Dinu
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Stefan Thater
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Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
Edward Grefenstette
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Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
Islam Beltagy
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Cuong Chau
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Gemma Boleda
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Dan Garrette
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Katrin Erk
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Raymond Mooney
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ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini
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Leila Kosseim
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Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels
Nghia The Pham
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Lorenzo Ferrone
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Fabio Massimo Zanzotto
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SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
Marco Marelli
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Luisa Bentivogli
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Marco Baroni
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Raffaella Bernardi
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Stefano Menini
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Roberto Zamparelli
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ASAP: Automatic Semantic Alignment for Phrases
Ana Alves
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Adriana Ferrugento
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Mariana Lourenço
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Filipe Rodrigues
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ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment
Jiang Zhao
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Tiantian Zhu
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Man Lan
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Illinois-LH: A Denotational and Distributional Approach to Semantics
Alice Lai
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Julia Hockenmaier
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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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Leveraging Preposition Ambiguity to Assess Compositional Distributional Models of Semantics
Samuel Ritter
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Cotie Long
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Denis Paperno
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Marco Baroni
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Matthew Botvinick
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Adele Goldberg
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Experimenting with transitive verbs in a DisCoCat
Edward Grefenstette
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Mehrnoosh Sadrzadeh
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Distributional techniques for philosophical enquiry
Aurélie Herbelot
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Eva von Redecker
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Johanna Müller
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Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records
Aron Henriksson
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Maria Skeppstedt
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Maria Kvist
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Martin Duneld
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Mike Conway
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The Frobenius Anatomy of Relative Pronouns
Stephen Clark
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Bob Coecke
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Mehrnoosh Sadrzadeh
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Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
Jayant Krishnamurthy
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Tom Mitchell
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General estimation and evaluation of compositional distributional semantic models
Georgiana Dinu
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Nghia The Pham
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Marco Baroni
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“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann
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Edward Grefenstette
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Phil Blunsom
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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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Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification
Dmitrijs Milajevs
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Matthew Purver
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Semantic Parsing using Distributional Semantics and Probabilistic Logic
Islam Beltagy
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Katrin Erk
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Raymond Mooney
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Distributional Semantics in Use
Raffaella Bernardi
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Gemma Boleda
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Raquel Fernández
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Denis Paperno
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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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Distributed Vector Representations for Unsupervised Automatic Short Answer Grading
Oliver Adams
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Shourya Roy
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Raghuram Krishnapuram
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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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Sense Contextualization in a Dependency-Based Compositional Distributional Model
Pablo Gamallo
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Semantic Composition via Probabilistic Model Theory
Guy Emerson
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Ann Copestake
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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.ox.ac.uk/activities/CompD
http://celex.mpi.nl/
Field Of Study
Linguistic Trends
Discourse
Lexical Semantics
Syntax
Task
Semantic Similarity
Information Retrieval
Language
English
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