Sciweavers

Share
96 search results - page 1 / 20
» Filaments of Meaning in Word Space
Sort
View
ECIR
2008
Springer
8 years 5 months ago
Filaments of Meaning in Word Space
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
Jussi Karlgren, Anders Holst, Magnus Sahlgren
ECIR
2016
Springer
2 years 11 months ago
Temporal Random Indexing: a Tool for Analysing Word Meaning Variations in News
The availability of data spanning different epochs has inspired a new analysis of cultural, social, and linguistic phenomena from a temporal perspective. This paper describes the...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
EMNLP
2008
8 years 5 months ago
A Structured Vector Space Model for Word Meaning in Context
We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
Katrin Erk, Sebastian Padó
NAACL
2010
8 years 1 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney
ACL
2003
8 years 4 months ago
Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval
Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved ...
Dominic Widdows
books