Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources. / Olsen, Ida Rørmann; Sayeed, Asad ; Pedersen, Bolette Sandford.

Globalex Workshop on Linked Lexicography: LREC 2020 Workshop Language Resources and Evaluation Conference. Marseille, France : European Language Resources Association, 2020. p. 45-52.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Olsen, IR, Sayeed, A & Pedersen, BS 2020, Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources. in Globalex Workshop on Linked Lexicography: LREC 2020 Workshop Language Resources and Evaluation Conference. European Language Resources Association, Marseille, France, pp. 45-52. <https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/GLOBALEX2020book.pdf>

APA

Olsen, I. R., Sayeed, A., & Pedersen, B. S. (2020). Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources. In Globalex Workshop on Linked Lexicography: LREC 2020 Workshop Language Resources and Evaluation Conference (pp. 45-52). European Language Resources Association. https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/GLOBALEX2020book.pdf

Vancouver

Olsen IR, Sayeed A, Pedersen BS. Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources. In Globalex Workshop on Linked Lexicography: LREC 2020 Workshop Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association. 2020. p. 45-52

Author

Olsen, Ida Rørmann ; Sayeed, Asad ; Pedersen, Bolette Sandford. / Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources. Globalex Workshop on Linked Lexicography: LREC 2020 Workshop Language Resources and Evaluation Conference. Marseille, France : European Language Resources Association, 2020. pp. 45-52

Bibtex

@inproceedings{7ba850e733c1448b8271f85ed69114ed,
title = "Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources",
abstract = "Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionallyas expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness ofsense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establishrepresentations based on centroids obtained from wordnet synsets and example sentences as well as representations established viaa clustering approach; these representations are tested in a word sense disambiguation task. We conclude that the more informationextracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.",
author = "Olsen, {Ida R{\o}rmann} and Asad Sayeed and Pedersen, {Bolette Sandford}",
year = "2020",
language = "English",
pages = "45--52",
booktitle = "Globalex Workshop on Linked Lexicography",
publisher = "European Language Resources Association",

}

RIS

TY - GEN

T1 - Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources

AU - Olsen, Ida Rørmann

AU - Sayeed, Asad

AU - Pedersen, Bolette Sandford

PY - 2020

Y1 - 2020

N2 - Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionallyas expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness ofsense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establishrepresentations based on centroids obtained from wordnet synsets and example sentences as well as representations established viaa clustering approach; these representations are tested in a word sense disambiguation task. We conclude that the more informationextracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.

AB - Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionallyas expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness ofsense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establishrepresentations based on centroids obtained from wordnet synsets and example sentences as well as representations established viaa clustering approach; these representations are tested in a word sense disambiguation task. We conclude that the more informationextracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.

M3 - Article in proceedings

SP - 45

EP - 52

BT - Globalex Workshop on Linked Lexicography

PB - European Language Resources Association

CY - Marseille, France

ER -

ID: 241359613