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Real-valued syntactic word vectors

Basirat, Ali, 1982- (author)
Uppsala universitet,Institutionen för lingvistik och filologi,Computational linguistics
Nivre, Joakim, 1962- (author)
Uppsala universitet,Institutionen för lingvistik och filologi,Computational linguistics
 (creator_code:org_t)
2020
2020
English.
In: Journal of experimental and theoretical artificial intelligence (Print). - 0952-813X .- 1362-3079. ; 32:4, s. 557-579
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We introduce a word embedding method that generates a set of real-valued word vectors from a distributional semantic space. The semantic space is built with a set of context units (words) which are selected by an entropy-based feature selection approach with respect to the certainty involved in their contextual environments. We show that the most predictive context of a target word is its preceding word. An adaptive transformation function is also introduced that reshapes the data distribution to make it suitable for dimensionality reduction techniques. The final low-dimensional word vectors are formed by the singular vectors of a matrix of transformed data. We show that the resulting word vectors are as good as other sets of word vectors generated with popular word embedding methods.

Subject headings

HUMANIORA  -- Språk och litteratur (hsv//swe)
HUMANITIES  -- Languages and Literature (hsv//eng)
HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)

Keyword

Word embeddings
context selection
transformation
dependency parsing
singular value decomposition
entropy

Publication and Content Type

ref (subject category)
art (subject category)

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