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Representing words as regions in vector space
Katrin Erk
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Paper Details:
Month: June
Year: 2009
Location: Boulder, Colorado
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib Jameel
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Steven Schockaert
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Relation Induction in Word Embeddings Revisited
Zied Bouraoui
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Shoaib Jameel
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Steven Schockaert
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Learning to Predict Denotational Probabilities For Modeling Entailment
Alice Lai
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Julia Hockenmaier
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Statistical Metaphor Processing
Ekaterina Shutova
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Simone Teufel
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Anna Korhonen
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Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
Shoaib Jameel
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Steven Schockaert
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A Rank-based Distance Measure to Detect Polysemy and to Determine Salient Vector-Space Features for German Prepositions
Maximilian Köper
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Sabine Schulte im Walde
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Towards Open-Domain Semantic Role Labeling
Danilo Croce
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Cristina Giannone
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Paolo Annesi
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Roberto Basili
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Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Luke Vilnis
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Xiang Li
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Shikhar Murty
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Andrew McCallum
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Identifying hypernyms in distributional semantic spaces
Alessandro Lenci
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Giulia Benotto
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What Is Word Meaning, Really? (And How Can Distributional Models Help Us Describe It?)
Katrin Erk
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Functional Distributional Semantics
Guy Emerson
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Ann Copestake
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A Vector Model for Type-Theoretical Semantics
Konstantin Sokolov
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http://www.nlpado.de/
http://maxent.sourceforge.net/
http://ilk.uvt.nl/timbl/
Field Of Study
Task
Information Retrieval
Language
English
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