@inproceedings{otegi-etal-2016-qtleap,
title = "{QTL}eap {WSD}/{NED} Corpora: Semantic Annotation of Parallel Corpora in Six Languages",
author = "Otegi, Arantxa and
Aranberri, Nora and
Branco, Antonio and
Haji{\v{c}}, Jan and
Popel, Martin and
Simov, Kiril and
Agirre, Eneko and
Osenova, Petya and
Pereira, Rita and
Silva, Jo{\~a}o and
Neale, Steven",
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/L16-1483",
pages = "3023--3030",
abstract = "This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference. The corpora comprise both the well-known Europarl corpus and a domain-specific question-answer troubleshooting corpus on the IT domain. English is common in all parallel corpora, with translations in five languages, namely, Basque, Bulgarian, Czech, Portuguese and Spanish. We describe the annotated corpora and the tools used for annotation, as well as annotation statistics for each language. These new resources are freely available and will help research on semantic processing for machine translation and cross-lingual transfer.",
}
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<abstract>This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference. The corpora comprise both the well-known Europarl corpus and a domain-specific question-answer troubleshooting corpus on the IT domain. English is common in all parallel corpora, with translations in five languages, namely, Basque, Bulgarian, Czech, Portuguese and Spanish. We describe the annotated corpora and the tools used for annotation, as well as annotation statistics for each language. These new resources are freely available and will help research on semantic processing for machine translation and cross-lingual transfer.</abstract>
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%0 Conference Proceedings
%T QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages
%A Otegi, Arantxa
%A Aranberri, Nora
%A Branco, Antonio
%A Hajič, Jan
%A Popel, Martin
%A Simov, Kiril
%A Agirre, Eneko
%A Osenova, Petya
%A Pereira, Rita
%A Silva, João
%A Neale, Steven
%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 otegi-etal-2016-qtleap
%X This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference. The corpora comprise both the well-known Europarl corpus and a domain-specific question-answer troubleshooting corpus on the IT domain. English is common in all parallel corpora, with translations in five languages, namely, Basque, Bulgarian, Czech, Portuguese and Spanish. We describe the annotated corpora and the tools used for annotation, as well as annotation statistics for each language. These new resources are freely available and will help research on semantic processing for machine translation and cross-lingual transfer.
%U https://aclanthology.org/L16-1483
%P 3023-3030
Markdown (Informal)
[QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages](https://aclanthology.org/L16-1483) (Otegi et al., LREC 2016)
ACL
- Arantxa Otegi, Nora Aranberri, Antonio Branco, Jan Hajič, Martin Popel, Kiril Simov, Eneko Agirre, Petya Osenova, Rita Pereira, João Silva, and Steven Neale. 2016. QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3023–3030, Portorož, Slovenia. European Language Resources Association (ELRA).