License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.LDK.2019.20
URN: urn:nbn:de:0030-drops-103848
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10384/
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Saurí, Roser ; Mahon, Louis ; Russo, Irene ; Bitinis, Mironas

Cross-Dictionary Linking at Sense Level with a Double-Layer Classifier

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OASIcs-LDK-2019-20.pdf (0.6 MB)

Abstract

We present a system for linking dictionaries at the sense level, which is part of a wider programme aiming to extend current lexical resources and to create new ones by automatic means. One of the main challenges of the sense linking task is the existence of non one-to-one mappings among senses. Our system handles this issue by addressing the task as a binary classification problem using standard Machine Learning methods, where each sense pair is classified independently from the others. In addition, it implements a second, statistically-based classification layer to also model the dependence existing among sense pairs, namely, the fact that a sense in one dictionary that is already linked to a sense in the other dictionary has a lower probability of being linked to a further sense. The resulting double-layer classifier achieves global Precision and Recall scores of 0.91 and 0.80, respectively.

BibTeX - Entry

@InProceedings{saur_et_al:OASIcs:2019:10384,
  author =	{Roser Saur{\'i} and Louis Mahon and Irene Russo and Mironas Bitinis},
  title =	{{Cross-Dictionary Linking at Sense Level with a Double-Layer Classifier}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  pages =	{20:1--20:16},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Maria Eskevich and Gerard de Melo and Christian F{\"a}th and John P. McCrae and Paul Buitelaar and Christian Chiarcos and Bettina Klimek and Milan Dojchinovski},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10384},
  URN =		{urn:nbn:de:0030-drops-103848},
  doi =		{10.4230/OASIcs.LDK.2019.20},
  annote =	{Keywords: Word sense linking, word sense mapping, lexical translation, lexical resources, language data construction, multilingual data, data integration acros}
}

Keywords: Word sense linking, word sense mapping, lexical translation, lexical resources, language data construction, multilingual data, data integration acros
Collection: 2nd Conference on Language, Data and Knowledge (LDK 2019)
Issue Date: 2019
Date of publication: 16.05.2019

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