Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Sampo Pyysalo"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S23, Pp 1-12 (2020)
Abstract Background: Syntactic analysis, or parsing, is a key task in natural language processing and a required component for many text mining approaches. In recent years, Universal Dependencies (UD) has emerged as the leading formalism for dependen
Externí odkaz:
https://doaj.org/article/980e92cad093490ab14fb2d2b804c910
Autor:
Billy Chiu, Olga Majewska, Sampo Pyysalo, Laura Wey, Ulla Stenius, Anna Korhonen, Martha Palmer
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-12 (2019)
Abstract Background VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text proce
Externí odkaz:
https://doaj.org/article/c05b0d1ca2cc40929398463fde944f4e
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). It can be done using a
Externí odkaz:
https://doaj.org/article/f170f45424cb467e8b9ca399994c5c92
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background Word representations support a variety of Natural Language Processing (NLP) tasks. The quality of these representations is typically assessed by comparing the distances in the induced vector spaces against human similarity judgeme
Externí odkaz:
https://doaj.org/article/1573dd08ac7944deb735a1eb7dde9062
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-14 (2017)
Abstract Background Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain
Externí odkaz:
https://doaj.org/article/662a634fad7d408780c368cb3b4f8e2d
Autor:
Sofie Van Landeghem, Jari Björne, Chih-Hsuan Wei, Kai Hakala, Sampo Pyysalo, Sophia Ananiadou, Hung-Yu Kao, Zhiyong Lu, Tapio Salakoski, Yves Van de Peer, Filip Ginter
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e55814 (2013)
Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts. To provide comprehensive coverage and enable full integration with existing biomo
Externí odkaz:
https://doaj.org/article/52cc5051fb254c52971413c43aa54112
Autor:
Sophia Ananiadou, Dan Sullivan, William Black, Gina-Anne Levow, Joseph J Gillespie, Chunhong Mao, Sampo Pyysalo, Balakrishna Kolluru, Junichi Tsujii, Bruno Sobral
Publikováno v:
PLoS ONE, Vol 6, Iss 3, p e14780 (2011)
Research on specialized biological systems is often hampered by a lack of consistent terminology, especially across species. In bacterial Type IV secretion systems genes within one set of orthologs may have over a dozen different names. Classifying r
Externí odkaz:
https://doaj.org/article/9e314d8faa574befb5b7c984a5b0a573
Autor:
Jouni Luoma, Katerina Nastou, Tomoko Ohta, Harttu Toivonen, Evangelos Pafilis, Lars Juhl Jensen, Sampo Pyysalo
MotivationThe recognition of mentions of species names in text is a critically important task for biomedical text mining. While deep learning-based methods have made great advances in many named entity recognition tasks, results for species name reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da41418b5cb802f4456e336b712317c6
https://doi.org/10.1101/2023.02.20.528934
https://doi.org/10.1101/2023.02.20.528934
Autor:
Veronika Laippala, Samuel Rönnqvist, Miika Oinonen, Aki-Juhani Kyröläinen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo
Publikováno v:
Language Resources and Evaluation.
This article examines the automatic identification of Web registers, that is, text varieties such as news articles and reviews. Most studies have focused on corpora restricted to include only preselected classes with well-defined characteristics. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a936fd1eb0b5ddfe53b0be6a7a440934
https://doi.org/10.1007/s10579-022-09624-1
https://doi.org/10.1007/s10579-022-09624-1
This Zenodo contains the BioCreative VII Large scale DrugProt Additional Subtrackabstracts and entity annotations. Abstracts large_scale_abstracts.tsvThis filecontains plain-text, UTF8-encoded, NFC normalized DrugProt PubMed records in a tab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25411c99fd25dfbf9c44bc99a6284dde