@inproceedings{dhuliawala-etal-2016-slangnet,
title = "{S}lang{N}et: A {W}ord{N}et like resource for {E}nglish Slang",
author = "Dhuliawala, Shehzaad and
Kanojia, Diptesh and
Bhattacharyya, Pushpak",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1686",
pages = "4329--4332",
abstract = "We present a WordNet like structured resource for slang words and neologisms on the internet. The dynamism of language is often an indication that current language technology tools trained on today{'}s data, may not be able to process the language in the future. Our resource could be (1) used to augment the WordNet, (2) used in several Natural Language Processing (NLP) applications which make use of noisy data on the internet like Information Retrieval and Web Mining. Such a resource can also be used to distinguish slang word senses from conventional word senses. To stimulate similar innovations widely in the NLP community, we test the efficacy of our resource for detecting slang using standard bag of words Word Sense Disambiguation (WSD) algorithms (Lesk and Extended Lesk) for English data on the internet.",
}
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%0 Conference Proceedings
%T SlangNet: A WordNet like resource for English Slang
%A Dhuliawala, Shehzaad
%A Kanojia, Diptesh
%A Bhattacharyya, Pushpak
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F dhuliawala-etal-2016-slangnet
%X We present a WordNet like structured resource for slang words and neologisms on the internet. The dynamism of language is often an indication that current language technology tools trained on today’s data, may not be able to process the language in the future. Our resource could be (1) used to augment the WordNet, (2) used in several Natural Language Processing (NLP) applications which make use of noisy data on the internet like Information Retrieval and Web Mining. Such a resource can also be used to distinguish slang word senses from conventional word senses. To stimulate similar innovations widely in the NLP community, we test the efficacy of our resource for detecting slang using standard bag of words Word Sense Disambiguation (WSD) algorithms (Lesk and Extended Lesk) for English data on the internet.
%U https://aclanthology.org/L16-1686
%P 4329-4332
Markdown (Informal)
[SlangNet: A WordNet like resource for English Slang](https://aclanthology.org/L16-1686) (Dhuliawala et al., LREC 2016)
ACL
- Shehzaad Dhuliawala, Diptesh Kanojia, and Pushpak Bhattacharyya. 2016. SlangNet: A WordNet like resource for English Slang. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4329–4332, Portorož, Slovenia. European Language Resources Association (ELRA).