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Boosting the coverage of a semantic lexicon by automatically extracted event nominalizations
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01838570 ; International Conference on Language Resources and Evaluation, Jan 2012, Istanbul, Turkey (2012)
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Measuring the adequacy of cross-lingual paraphrases in a Machine Translation setting
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838574 ; International Conference on Computational Linguistics, Jan 2012, Mumbai, India (2012)
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Disambiguating vectors for bilingual lexicon extraction from comparable corpora ; Razdvoumljanje vektorjev za izboljšanje luščenja dvojezičnih leksikonov iz primerljivih korpusov
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In: Language Technologies Conference ; https://hal.archives-ouvertes.fr/hal-01838573 ; Language Technologies Conference, Jan 2012, Ljubljana, Slovenia (2012)
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Boosting the Coverage of a Semantic Lexicon by Automatically Extracted Event Nominalizations
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In: LREC 2012 - Eighth International Conference on Language Resources and Evaluation ; https://hal.inria.fr/hal-00703127 ; LREC 2012 - Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey (2012)
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Abstract:
International audience ; An important trend in recent works on lexical semantics has been the development of learning methods capable of extracting semantic information from text corpora. The majority of these methods are based on the distributional hypothesis of meaning and acquire semantic information by identifying distributional patterns in texts. In this article, we present a distributional analysis method for extracting nominalization relations from monolingual corpora. The acquisition method makes use of distributional and morphological information to select nominalization candidates. We explain how the learning is performed on a dependency annotated corpus and describe the nominalization results. Furthermore, we show how these results served to enrich an existing lexical resource, the WOLF (Wordnet Libre du Français). We present the techniques that we developed in order to integrate the new information into WOLF, based on both its structure and content. Finally, we evaluate the validity of the automatically obtained information and the correctness of its integration into the semantic resource. The method proved to be useful for boosting the coverage of WOLF and presents the advantage of filling verbal synsets, which are particularly difficult to handle due to the high level of verbal polysemy.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing
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URL: https://hal.inria.fr/hal-00703127/document
https://hal.inria.fr/hal-00703127/file/839_Paper.pdf
https://hal.inria.fr/hal-00703127
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Applying cross-lingual WSD to wordnet development
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In: LREC 2012 - Eighth International Conference on Language Resources and Evaluation ; https://hal.inria.fr/hal-00703126 ; LREC 2012 - Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey (2012)
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