Training on Lexical Resources

Kenneth Church; Xingyu Cai; Yuchen Bian

Training on Lexical Resources

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Abstract

We propose using lexical resources (thesaurus, VAD) to fine-tune pretrained deep nets such as BERT and ERNIE. Then at inference time, these nets can be used to distinguish synonyms from antonyms, as well as VAD distances. The inference method can be applied to words as well as texts such as multiword expressions (MWEs), out of vocabulary words (OOVs), morphological variants and more. Code and data are posted on https://github.com/kwchurch/syn_ant.

Anthology ID:: 2022.lrec-1.676
Volume:: Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:: June
Year:: 2022
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 6290–6299
Language:
URL:: https://aclanthology.org/2022.lrec-1.676/
DOI:
Bibkey:
Cite (ACL):: Kenneth Church, Xingyu Cai, and Yuchen Bian. 2022. Training on Lexical Resources. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6290–6299, Marseille, France. European Language Resources Association.
Cite (Informal):: Training on Lexical Resources (Church et al., LREC 2022)
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PDF:: https://aclanthology.org/2022.lrec-1.676.pdf

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@inproceedings{church-etal-2022-training,
    title = "Training on Lexical Resources",
    author = "Church, Kenneth  and
      Cai, Xingyu  and
      Bian, Yuchen",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.676/",
    pages = "6290--6299",
    abstract = "We propose using lexical resources (thesaurus, VAD) to fine-tune pretrained deep nets such as BERT and ERNIE. Then at inference time, these nets can be used to distinguish synonyms from antonyms, as well as VAD distances. The inference method can be applied to words as well as texts such as multiword expressions (MWEs), out of vocabulary words (OOVs), morphological variants and more. Code and data are posted on \url{https://github.com/kwchurch/syn_ant}."
}

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%0 Conference Proceedings
%T Training on Lexical Resources
%A Church, Kenneth
%A Cai, Xingyu
%A Bian, Yuchen
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F church-etal-2022-training
%X We propose using lexical resources (thesaurus, VAD) to fine-tune pretrained deep nets such as BERT and ERNIE. Then at inference time, these nets can be used to distinguish synonyms from antonyms, as well as VAD distances. The inference method can be applied to words as well as texts such as multiword expressions (MWEs), out of vocabulary words (OOVs), morphological variants and more. Code and data are posted on https://github.com/kwchurch/syn_ant.
%U https://aclanthology.org/2022.lrec-1.676/
%P 6290-6299

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Markdown (Informal)

[Training on Lexical Resources](https://aclanthology.org/2022.lrec-1.676/) (Church et al., LREC 2022)

Training on Lexical Resources (Church et al., LREC 2022)

ACL

Kenneth Church, Xingyu Cai, and Yuchen Bian. 2022. Training on Lexical Resources. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6290–6299, Marseille, France. European Language Resources Association.