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A Structured Vector Space Model for Word Meaning in Context
Katrin Erk
|
Sebastian Padó
|
Paper Details:
Month: October
Year: 2008
Location: Honolulu, Hawaii
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
Matthias Hartung
|
Anette Frank
|
Estimating Linear Models for Compositional Distributional Semantics
Fabio Massimo Zanzotto
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Ioannis Korkontzelos
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Francesca Fallucchi
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Suresh Manandhar
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Topic Models for Meaning Similarity in Context
Georgiana Dinu
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Mirella Lapata
|
A Probabilistic Model for Learning Multi-Prototype Word Embeddings
Fei Tian
|
Hanjun Dai
|
Jiang Bian
|
Bin Gao
|
Rui Zhang
|
Enhong Chen
|
Tie-Yan Liu
|
Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar
|
Eduard Hovy
|
Combining Supervised and Unsupervised Parsing for Distributional Similarity
Martin Riedl
|
Irina Alles
|
Chris Biemann
|
A Markovian approach to distributional semantics with application to semantic compositionality
Édouard Grave
|
Guillaume Obozinski
|
Francis Bach
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A Novel Distributional Approach to Multilingual Conceptual Metaphor Recognition
Michael Mohler
|
Bryan Rink
|
David Bracewell
|
Marc Tomlinson
|
Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Padó
|
Aurélie Herbelot
|
Max Kisselew
|
Jan Šnajder
|
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Yuval Marton
|
Chris Callison-Burch
|
Philip Resnik
|
Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source – Corpus Hybrid Models
Yuval Marton
|
Saif Mohammad
|
Philip Resnik
|
Web-Scale Distributional Similarity and Entity Set Expansion
Patrick Pantel
|
Eric Crestan
|
Arkady Borkovsky
|
Ana-Maria Popescu
|
Vishnu Vyas
|
Measuring Distributional Similarity in Context
Georgiana Dinu
|
Mirella Lapata
|
A Mixture Model with Sharing for Lexical Semantics
Joseph Reisinger
|
Raymond Mooney
|
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
Marco Baroni
|
Roberto Zamparelli
|
Latent Vector Weighting for Word Meaning in Context
Tim Van de Cruys
|
Thierry Poibeau
|
Anna Korhonen
|
Probabilistic models of similarity in syntactic context
Diarmuid Ó Séaghdha
|
Anna Korhonen
|
First Order vs. Higher Order Modification in Distributional Semantics
Gemma Boleda
|
Eva Maria Vecchi
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Miquel Cornudella
|
Louise McNally
|
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki
|
Kevin Duh
|
Masashi Shimbo
|
Yuji Matsumoto
|
Centering Similarity Measures to Reduce Hubs
Ikumi Suzuki
|
Kazuo Hara
|
Masashi Shimbo
|
Marco Saerens
|
Kenji Fukumizu
|
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher
|
Alex Perelygin
|
Jean Wu
|
Jason Chuang
|
Christopher D. Manning
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Andrew Ng
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Christopher Potts
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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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Building a shared world: mapping distributional to model-theoretic semantic spaces
Aurélie Herbelot
|
Eva Maria Vecchi
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Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober
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Julie Weeds
|
Jeremy Reffin
|
David Weir
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Vector-space models for PPDB paraphrase ranking in context
Marianna Apidianaki
|
Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang
|
Jinghui Xie
|
Yinhe Zheng
|
Xuan Zhu
|
Preposition Sense Disambiguation and Representation
Hongyu Gong
|
Jiaqi Mu
|
Suma Bhat
|
Pramod Viswanath
|
Evaluating Distributional Models of Semantics for Syntactically Invariant Inference
Jackie Chi Kit Cheung
|
Gerald Penn
|
What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus
Gerhard Kremer
|
Katrin Erk
|
Sebastian Padó
|
Stefan Thater
|
Measuring Word Meaning in Context
Katrin Erk
|
Diana McCarthy
|
Nicholas Gaylord
|
Probabilistic Distributional Semantics with Latent Variable Models
Diarmuid Ó Séaghdha
|
Anna Korhonen
|
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
David Weir
|
Julie Weeds
|
Jeremy Reffin
|
Thomas Kober
|
Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs
Shonosuke Ishiwatari
|
Nobuhiro Kaji
|
Naoki Yoshinaga
|
Masashi Toyoda
|
Masaru Kitsuregawa
|
The Lifted Matrix-Space Model for Semantic Composition
WooJin Chung
|
Sheng-Fu Wang
|
Samuel Bowman
|
Towards a Matrix-based Distributional Model of Meaning
Eugenie Giesbrecht
|
A comparison of models of word meaning in context
Georgiana Dinu
|
Stefan Thater
|
Soeren Laue
|
Supervised All-Words Lexical Substitution using Delexicalized Features
György Szarvas
|
Chris Biemann
|
Iryna Gurevych
|
A Tensor-based Factorization Model of Semantic Compositionality
Tim Van de Cruys
|
Thierry Poibeau
|
Anna Korhonen
|
NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
PIC a Different Word: A Simple Model for Lexical Substitution in Context
Stephen Roller
|
Katrin Erk
|
K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu
|
D. Stott Parker
|
Data-driven Paraphrasing and Stylistic Harmonization
Gerold Hintz
|
Investigations on Word Senses and Word Usages
Katrin Erk
|
Diana McCarthy
|
Nicholas Gaylord
|
Contextualizing Semantic Representations Using Syntactically Enriched Vector Models
Stefan Thater
|
Hagen Fürstenau
|
Manfred Pinkal
|
Exemplar-Based Models for Word Meaning in Context
Katrin Erk
|
Sebastian Padó
|
Template-Based Information Extraction without the Templates
Nathanael Chambers
|
Dan Jurafsky
|
Improving Word Representations via Global Context and Multiple Word Prototypes
Eric Huang
|
Richard Socher
|
Christopher Manning
|
Andrew Ng
|
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
Jackie Chi Kit Cheung
|
Gerald Penn
|
Word Association Profiles and their Use for Automated Scoring of Essays
Beata Beigman Klebanov
|
Michael Flor
|
A Two Level Model for Context Sensitive Inference Rules
Oren Melamud
|
Jonathan Berant
|
Ido Dagan
|
Jacob Goldberger
|
Idan Szpektor
|
A Structured Distributional Semantic Model for Event Co-reference
Kartik Goyal
|
Sujay Kumar Jauhar
|
Huiying Li
|
Mrinmaya Sachan
|
Shashank Srivastava
|
Eduard Hovy
|
DISSECT - DIStributional SEmantics Composition Toolkit
Georgiana Dinu
|
Nghia The Pham
|
Marco Baroni
|
Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann
|
Phil Blunsom
|
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
|
Edward Grefenstette
|
Phil Blunsom
|
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification
Michael Roth
|
Sabine Schulte im Walde
|
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
|
Germán Kruszewski
|
Angeliki Lazaridou
|
Marco Baroni
|
Deep Unordered Composition Rivals Syntactic Methods for Text Classification
Mohit Iyyer
|
Varun Manjunatha
|
Jordan Boyd-Graber
|
Hal Daumé III
|
Language Transfer Learning for Supervised Lexical Substitution
Gerold Hintz
|
Chris Biemann
|
Multi-Modal Models for Concrete and Abstract Concept Meaning
Felix Hill
|
Roi Reichart
|
Anna Korhonen
|
Learning Composition Models for Phrase Embeddings
Mo Yu
|
Mark Dredze
|
Saarland: Vector-based models of semantic textual similarity
Georgiana Dinu
|
Stefan Thater
|
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
Islam Beltagy
|
Cuong Chau
|
Gemma Boleda
|
Dan Garrette
|
Katrin Erk
|
Raymond Mooney
|
MayoClinicNLP–CORE: Semantic representations for textual similarity
Stephen Wu
|
Dongqing Zhu
|
Ben Carterette
|
Hongfang Liu
|
A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books
Yoav Goldberg
|
Jon Orwant
|
Metaphor Identification as Interpretation
Ekaterina Shutova
|
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys
|
Stergos Afantenos
|
Philippe Muller
|
CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark
Yves Bestgen
|
A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
Nikolaos Aletras
|
Mark Stevenson
|
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection
Yogarshi Vyas
|
Marine Carpuat
|
One Distributional Memory, Many Semantic Spaces
Marco Baroni
|
Alessandro Lenci
|
BagPack: A General Framework to Represent Semantic Relations
Amaç Herdağdelen
|
Marco Baroni
|
Paraphrase Assessment in Structured Vector Space: Exploring Parameters and Datasets
Katrin Erk
|
Sebastian Padó
|
Context-theoretic Semantics for Natural Language: an Overview
Daoud Clarke
|
Representing words as regions in vector space
Katrin Erk
|
Ranking Paraphrases in Context
Stefan Thater
|
Georgiana Dinu
|
Manfred Pinkal
|
What Is Word Meaning, Really? (And How Can Distributional Models Help Us Describe It?)
Katrin Erk
|
Composing and Updating Verb Argument Expectations: A Distributional Semantic Model
Alessandro Lenci
|
(Linear) Maps of the Impossible: Capturing Semantic Anomalies in Distributional Space
Eva Maria Vecchi
|
Marco Baroni
|
Roberto Zamparelli
|
Distributional techniques for philosophical enquiry
Aurélie Herbelot
|
Eva von Redecker
|
Johanna Müller
|
Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model
Raphael Cohen
|
Yoav Goldberg
|
Michael Elhadad
|
A Structured Distributional Semantic Model : Integrating Structure with Semantics
Kartik Goyal
|
Sujay Kumar Jauhar
|
Huiying Li
|
Mrinmaya Sachan
|
Shashank Srivastava
|
Eduard Hovy
|
General estimation and evaluation of compositional distributional semantic models
Georgiana Dinu
|
Nghia The Pham
|
Marco Baroni
|
“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann
|
Edward Grefenstette
|
Phil Blunsom
|
Separating Disambiguation from Composition in Distributional Semantics
Dimitri Kartsaklis
|
Mehrnoosh Sadrzadeh
|
Stephen Pulman
|
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity
Chris Biemann
|
Bonaventura Coppola
|
Michael R. Glass
|
Alfio Gliozzo
|
Matthew Hatem
|
Martin Riedl
|
Distributional Composition using Higher-Order Dependency Vectors
Julie Weeds
|
David Weir
|
Jeremy Reffin
|
Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds
Aurélie Herbelot
|
Distributional Semantics in Use
Raffaella Bernardi
|
Gemma Boleda
|
Raquel Fernández
|
Denis Paperno
|
Functional Distributional Semantics
Guy Emerson
|
Ann Copestake
|
A Vector Model for Type-Theoretical Semantics
Konstantin Sokolov
|
Graph-based Clustering of Synonym Senses for German Particle Verbs
Moritz Wittmann
|
Marion Weller-Di Marco
|
Sabine Schulte im Walde
|
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading
Oliver Adams
|
Shourya Roy
|
Raghuram Krishnapuram
|
Vectors or Graphs? On Differences of Representations for Distributional Semantic Models
Chris Biemann
|
Compositional Semantics using Feature-Based Models from WordNet
Pablo Gamallo
|
Martín Pereira-Fariña
|
Sense Contextualization in a Dependency-Based Compositional Distributional Model
Pablo Gamallo
|
Semantic Composition via Probabilistic Model Theory
Guy Emerson
|
Ann Copestake
|
Finding The Best Model Among Representative Compositional Models
Masayasu Muraoka
|
Sonse Shimaoka
|
Kazeto Yamamoto
|
Yotaro Watanabe
|
Naoaki Okazaki
|
Kentaro Inui
|
http://www.nlpado.de/
Field Of Study
Linguistic Trends
Syntax
Psycholinguistics
Task
Word Sense Disambiguation
Textual Entailment
Semantic Similarity
Information Retrieval
Approach
Bayesian Model
Language
English
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