Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Szpakowicz, Stan"'
Autor:
Nastase, Vivi, Szpakowicz, Stan
The second edition of "Semantic Relations Between Nominals" by Vivi Nastase, Stan Szpakowicz, Preslav Nakov and Diarmuid \'O S\'eaghdha has been published in April 2021 by Morgan & Claypool (www.morganclaypoolpublishers.com/catalog_Orig/product_info.
Externí odkaz:
http://arxiv.org/abs/2009.05426
Autor:
Hendrickx, Iris, Nakov, Preslav, Szpakowicz, Stan, Kozareva, Zornitsa, Séaghdha, Diarmuid Ó, Veale, Tony
Publikováno v:
SemEval-2013
In this paper, we describe SemEval-2013 Task 4: the definition, the data, the evaluation and the results. The task is to capture some of the meaning of English noun compounds via paraphrasing. Given a two-word noun compound, the participating system
Externí odkaz:
http://arxiv.org/abs/1911.10421
Autor:
Hendrickx, Iris, Kim, Su Nam, Kozareva, Zornitsa, Nakov, Preslav, Séaghdha, Diarmuid Ó, Padó, Sebastian, Pennacchiotti, Marco, Romano, Lorenza, Szpakowicz, Stan
Publikováno v:
SemEval-2010
In response to the continuing research interest in computational semantic analysis, we have proposed a new task for SemEval-2010: multi-way classification of mutually exclusive semantic relations between pairs of nominals. The task is designed to com
Externí odkaz:
http://arxiv.org/abs/1911.10422
Autor:
Jarmasz, Mario, Szpakowicz, Stan
Publikováno v:
Proceedings of the 16th Canadian Conference on Artificial Intelligence (AI 2003), Halifax, Canada, June 2003. Lecture Notes in Computer Science 2671, Springer-Verlag 2003, 544-549
Morris and Hirst present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including t
Externí odkaz:
http://arxiv.org/abs/1204.0257
Autor:
Jarmasz, Mario, Szpakowicz, Stan
Publikováno v:
Proceedings of the NAACL WordNet and Other Lexical Resources workshop. Pittsburgh, June 2001, 186 - 188
This paper presents the steps involved in creating an electronic lexical knowledge base from the 1987 Penguin edition of Roget's Thesaurus. Semantic relations are labelled with the help of WordNet. The two resources are compared in a qualitative and
Externí odkaz:
http://arxiv.org/abs/1204.0258
Autor:
Jarmasz, Mario, Szpakowicz, Stan
Publikováno v:
Proceedings of Conference on Recent Advances in Natural Language Processing (RANLP 2003), Borovets, Bulgaria, September 2003, 212-219
We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity meas
Externí odkaz:
http://arxiv.org/abs/1204.0245
Autor:
Konovalova, Aleksandra, Toral, Antonio, Degaetano, Stefania, Kazantseva, Anna, Reiter, Nils, Szpakowicz, Stan
Publikováno v:
Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 75-82
STARTPAGE=75;ENDPAGE=82;TITLE=Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
STARTPAGE=75;ENDPAGE=82;TITLE=Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Most of the work on Character Networks to date is limited to monolingual texts. Conversely, in this paper we apply and analyze Character Networks on both source texts (English novels) and their Finnish translations (both human- and machine-translated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::4906c3a393e1f46d3babf0ede6fcdc45
https://research.rug.nl/en/publications/50b983e8-0e59-42fe-a216-b3c256afb723
https://research.rug.nl/en/publications/50b983e8-0e59-42fe-a216-b3c256afb723
Publikováno v:
In Computer Speech & Language January 2014 28(1):76-92
Autor:
Lassche, Alie, Morante, Roser, Degaetano-Ortlieb, Stefania, Kazantseva, Anna, Reiter, Nils, Szpakowicz, Stan
Publikováno v:
Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021-Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, 1-10
STARTPAGE=1;ENDPAGE=10;TITLE=Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021-Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021
Lassche, A & Morante, R 2021, The Early Modern Dutch Mediascape. Detecting Media Mentions in Chronicles Using Word Embeddings and CRF . in S Degaetano-Ortlieb, A Kazantseva, N Reiter, N Reiter & S Szpakowicz (eds), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021-Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021 . Association for Computational Linguistics (ACL), pp. 1-10, 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021, Virtual, Punta Cana, Dominican Republic, 11/11/21 . https://doi.org/10.18653/v1/2021.latechclfl-1.1
Proceedings of the 5th joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature, 1-10. Association for Computational Linguistics
STARTPAGE=1;ENDPAGE=10;TITLE=Proceedings of the 5th joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature
STARTPAGE=1;ENDPAGE=10;TITLE=Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021-Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021
Lassche, A & Morante, R 2021, The Early Modern Dutch Mediascape. Detecting Media Mentions in Chronicles Using Word Embeddings and CRF . in S Degaetano-Ortlieb, A Kazantseva, N Reiter, N Reiter & S Szpakowicz (eds), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021-Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021 . Association for Computational Linguistics (ACL), pp. 1-10, 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021, Virtual, Punta Cana, Dominican Republic, 11/11/21 . https://doi.org/10.18653/v1/2021.latechclfl-1.1
Proceedings of the 5th joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature, 1-10. Association for Computational Linguistics
STARTPAGE=1;ENDPAGE=10;TITLE=Proceedings of the 5th joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature
While the production of information in the European early modern period is a well-researched topic, the question how people were engaging with the information explosion that occurred in early modern Europe, is still underexposed. This paper presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4f5eb5d37d691eea2217808481ca54
https://research.vu.nl/en/publications/4f9b98fa-15d1-460f-97bf-14ff921bd0de
https://research.vu.nl/en/publications/4f9b98fa-15d1-460f-97bf-14ff921bd0de
Autor:
Arnoult, Sophie, Petram, Lodewijk, Vossen, Piek, Degaetano-Ortlieb, Stefania, Kazantseva, Anna, Reiter, Nils, Szpakowicz, Stan
Publikováno v:
Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 21-30
STARTPAGE=21;ENDPAGE=30;TITLE=Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Arnoult, S, Petram, L & Vossen, P 2021, Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts . in S Degaetano-Ortlieb, A Kazantseva, N Reiter & S Szpakowicz (eds), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature . Association for Computational Linguistics (ACL), pp. 21-30, 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021, Virtual, Punta Cana, Dominican Republic, 11/11/21 . https://doi.org/10.18653/v1/2021.latechclfl-1.3
STARTPAGE=21;ENDPAGE=30;TITLE=Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Arnoult, S, Petram, L & Vossen, P 2021, Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts . in S Degaetano-Ortlieb, A Kazantseva, N Reiter & S Szpakowicz (eds), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature . Association for Computational Linguistics (ACL), pp. 21-30, 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021, Virtual, Punta Cana, Dominican Republic, 11/11/21 . https://doi.org/10.18653/v1/2021.latechclfl-1.3
Pretrained language models like BERT have advanced the state of the art for many NLP tasks. For resource-rich languages, one has the choice between a number of language-specific models, while multilingual models are also worth considering. These mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::563ee056c94b0ab2d08ff78f0548838a
https://research.vu.nl/en/publications/c7ed5cf8-c8e7-4beb-a108-0f409b261f02
https://research.vu.nl/en/publications/c7ed5cf8-c8e7-4beb-a108-0f409b261f02