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Scaling Context Space
James Curran
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Marc Moens
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Paper Details:
Month: July
Year: 2002
Location: Philadelphia, Pennsylvania, USA
Venue:
ACL |
Citations
URL
Towards Terascale Semantic Acquisition
Patrick Pantel
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Deepak Ravichandran
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Eduard Hovy
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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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Context Feature Selection for Distributional Similarity
Masato Hagiwara
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Yasuhiro Ogawa
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Katsuhiko Toyama
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Using the Web to Obtain Frequencies for Unseen Bigrams
Frank Keller
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Mirella Lapata
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Dependency-Based Construction of Semantic Space Models
Sebastian Padó
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Mirella Lapata
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Supersense Tagging of Unknown Nouns Using Semantic Similarity
James Curran
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Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
Deepak Ravichandran
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Patrick Pantel
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Eduard Hovy
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Identifying Bad Semantic Neighbors for Improving Distributional Thesauri
Olivier Ferret
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Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro
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Carlos Ramisch
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Marco Idiart
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Aline Villavicencio
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SemEval-2012 Task 4: Evaluating Chinese Word Similarity
Peng Jin
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Yunfang Wu
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Improvements in Automatic Thesaurus Extraction
James R. Curran
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Marc Moens
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Ensemble Methods for Automatic Thesaurus Extraction
James Curran
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A Very Very Large Corpus Doesn’t Always Yield Reliable Estimates
James R. Curran
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Miles Osborne
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Blueprint for a High Performance NLP Infrastructure
James R. Curran
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Thesauruses for Prepositional Phrase Attachment
Mark McLauchlan
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Approximate Searching for Distributional Similarity
James Gorman
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James Curran
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Data Selection in Semi-supervised Learning for Name Tagging
Heng Ji
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Ralph Grishman
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Random Indexing using Statistical Weight Functions
James Gorman
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James R. Curran
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A Systematic Study of Semantic Vector Space Model Parameters
Douwe Kiela
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Stephen Clark
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No URLs Found
Field Of Study
Task
Morphological Analysis
Tagging
Word Sense Disambiguation
Information Extraction
Language
English
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