Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lucas Chaves Lima"'
Publikováno v:
Revista Brasileira de Cancerologia, Vol 58, Iss 1 (2012)
Introdução: O câncer gástrico precoce é definido como adenocarcinoma restrito à mucosa ou submucosa independente do comprometimento linfonodal. Quando diagnosticado nesse estágio, a taxa de sobrevida em cinco anos supera 90%. Objetivo: Caracte
Externí odkaz:
https://doaj.org/article/88d314c88ef741a08b5264870dfeeb68
Publikováno v:
ACL/IJCNLP (2)
Most fact checking models for automatic fake news detection are based on reasoning: given a claim with associated evidence, the models aim to estimate the claim veracity based on the supporting or refuting content within the evidence. When these mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88042de608dd68f28fe4097195796b28
Publikováno v:
Maistro, M, Lima, L C, Simonsen, J G & Lioma, C 2021, Principled Multi-Aspect Evaluation Measures of Rankings . in CIKM 2021-Proceedings of the 30th ACM International Conference on Information and Knowledge Management . Association for Computing Machinery, Inc, pp. 1232-1242, 30th ACM International Conference on Information and Knowledge Management, CIKM 2021, Virtual, Online, Australia, 01/11/2021 . https://doi.org/10.1145/3459637.3482287
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
CIKM
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
CIKM
Information Retrieval evaluation has traditionally focused on defining principled ways of assessing the relevance of a ranked list of documents with respect to a query. Several methods extend this type of evaluation beyond relevance, making it possib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e694f717760c11271594837db624ab4
https://curis.ku.dk/portal/da/publications/principled-multiaspect-evaluation-measures-of-rankings(f8a7c7ac-fb92-457a-92b1-7c7394904737).html
https://curis.ku.dk/portal/da/publications/principled-multiaspect-evaluation-measures-of-rankings(f8a7c7ac-fb92-457a-92b1-7c7394904737).html
Publikováno v:
Wang, D, Li, Q, Lima, L C, Simonsen, J G & Lioma, C 2019, Contextual compositionality detection with external knowledge bases and word embeddings . in The Web Conference 2019-Companion of the World Wide Web Conference, WWW 2019 . Association for Computing Machinery, pp. 317-323, 2019 World Wide Web Conference, WWW 2019, San Francisco, United States, 13/05/2019 . https://doi.org/10.1145/3308560.3316584
WWW (Companion Volume)
WWW (Companion Volume)
When the meaning of a phrase cannot be inferred from the individual meanings of its words (e.g., hot dog), that phrase is said to be non-compositional. Automatic compositionality detection in multiword phrases is critical in any application of semant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e23bf2d65818f823dd4eb01a098cc4a
https://curis.ku.dk/portal/da/publications/contextual-compositionality-detection-with-external-knowledge-bases-and-word-embeddings(821dffe2-2486-4489-8b0b-3adae4c297e0).html
https://curis.ku.dk/portal/da/publications/contextual-compositionality-detection-with-external-knowledge-bases-and-word-embeddings(821dffe2-2486-4489-8b0b-3adae4c297e0).html
Autor:
Christina Lioma, Isabelle Augenstein, Dongsheng Wang, Casper Hansen, Jakob Grue Simonsen, Christian Hansen, Lucas Chaves Lima
Publikováno v:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Augenstein, I, Lioma, C, Wang, D, Chaves Lima, L, Hansen, C, Hansen, C & Simonsen, J G 2019, MultiFC : A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims . in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, pp. 4684-4697, 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 03/11/2019 . https://doi.org/10.18653/v1/D19-1475
EMNLP/IJCNLP (1)
Augenstein, I, Lioma, C, Wang, D, Chaves Lima, L, Hansen, C, Hansen, C & Simonsen, J G 2019, MultiFC : A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims . in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, pp. 4684-4697, 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 03/11/2019 . https://doi.org/10.18653/v1/D19-1475
EMNLP/IJCNLP (1)
We contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification. It is collected from 26 fact checking websites in English, paired with textual sources and rich metadata, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f2a0d81e778756ba58f764a0a457fea
Publikováno v:
University of Copenhagen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::36e7a8d17e2f4f1c3de6b2d502719b75
https://curis.ku.dk/portal/en/publications/niversity-of-copenhagen-participation-in-trec-health-misinformation-track-2020(55ab44cb-2248-40d7-84ff-8d781c4b218f).html
https://curis.ku.dk/portal/en/publications/niversity-of-copenhagen-participation-in-trec-health-misinformation-track-2020(55ab44cb-2248-40d7-84ff-8d781c4b218f).html
Autor:
Maria Maistro, Dongsheng Wang, Christina Lioma, Lucas Chaves Lima, Casper Worm Hansen, Jakob Grue Simonsen, Christian Hansen
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Information Retrieval
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
Lecture Notes in Computer Science-Advances in Information Retrieval
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to attend to specific parts of the input dispensing recurrence and convolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f59d6554d9bcf739f755ebbab0829351