License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CALCO.2019.3
URN: urn:nbn:de:0030-drops-114312
URL: https://drops.dagstuhl.de/opus/volltexte/2019/11431/
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Sadrzadeh, Mehrnoosh

Principles of Natural Language, Logic, and Tensor Semantics (Invited Paper)

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LIPIcs-CALCO-2019-3.pdf (0.3 MB)

Abstract

Residuated monoids model the structure of sentences. Vectors provide meaning representations for words. A functorial mapping between the two is obtained by lifting the vectors to tensors. The resulting sentence representations solve similarity, disambiguation and entailment tasks.

BibTeX - Entry

@InProceedings{sadrzadeh:LIPIcs:2019:11431,
  author =	{Mehrnoosh Sadrzadeh},
  title =	{{Principles of Natural Language, Logic, and Tensor Semantics (Invited Paper)}},
  booktitle =	{8th Conference on Algebra and Coalgebra in Computer Science (CALCO 2019)},
  pages =	{3:1--3:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-120-7},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{139},
  editor =	{Markus Roggenbach and Ana Sokolova},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11431},
  URN =		{urn:nbn:de:0030-drops-114312},
  doi =		{10.4230/LIPIcs.CALCO.2019.3},
  annote =	{Keywords: Residuated Monoids, Vector Space Semantics, Corpora of Textual Data, Sentence Similarity and Disambiguation}
}

Keywords: Residuated Monoids, Vector Space Semantics, Corpora of Textual Data, Sentence Similarity and Disambiguation
Collection: 8th Conference on Algebra and Coalgebra in Computer Science (CALCO 2019)
Issue Date: 2019
Date of publication: 25.11.2019

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