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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
Arase, Yuki; Tsujii, Jun'ichi. - : Zenodo, 2021
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2
Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
Arase, Yuki; Tsujii, Jun'ichi. - : Zenodo, 2021
BASE
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3
A Probabilistic Annotation Model for Crowdsourcing Coreference
Kruschwitz, Udo; Chamberlain, Jon; Yu, Juntao. - : Association for Computational Linguistics, 2018
BASE
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4
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017
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5
Structure-guided supertagger learning
In: Natural language engineering. - Cambridge : Cambridge University Press 18 (2012) 2, 205-234
OLC Linguistik
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6
Automatic extraction of angiogenesis bioprocess from text
Wang, Xinglong; McKendrick, Iain; Barrett, Ian. - : Oxford University Press, 2011
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7
Automatic extraction of angiogenesis bioprocess from text
Wang, Xinglong; McKendrick, Iain; Barrett, Ian. - : Oxford University Press, 2011
BASE
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8
Improve syntax-based translation using deep syntactic structures
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 2, 141-157
BLLDB
OLC Linguistik
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9
Evaluating the impact of re-training a lexical disambiguation model on domain adaptation of an HPSG parser
In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 257-275
BLLDB
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10
HPSG parsing with a supertagger
In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 243-256
BLLDB
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11
Dependency parsing and domain adaptation with data-driven LR models and parser ensembles
In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 57-68
BLLDB
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12
Fine-grained tree-to-string translation rule extraction
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 325-334
BLLDB
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13
Fast full parsing by linear-chain conditional random fields
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 790-798
BLLDB
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14
Sequential labeling with latent variables: an exact inference algorithm and its efficient approximation
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 772-780
BLLDB
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15
Biomedical event detection using rules, conditional random fields and parse tree distances
Sarafraz, Farzaneh; Eales, James; Mohammadi, Reza. - : Association for Computational Linguistics, 2009
BASE
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16
Feature forest models for probabilistic HPSG parsing
In: Computational linguistics. - Cambridge, Mass. : MIT Press 34 (2008) 1, 35-80
BLLDB
OLC Linguistik
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17
Coreference Resolution in Biomedical Texts: a Machine Learning Approach
Su, Jian; Yang, Xiaofeng; Hong, Huaqing. - : Dagstuhl Seminar Proceedings. 08131 - Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives, 2008
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18
Coreference Resolution in Biomedical Texts: a Machine Learning Approach ...
Su, Jian; Yang, Xiaofeng; Hong, Huaqing; Tateisi, Yuka; Tsujii, Jun'ichi. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2008
Abstract: Motivation: Coreference resolution, the process of identifying different mentions of an entity, is a very important component in a text-mining system. Compared with the work in news articles, the existing study of coreference resolution in biomedical texts is quite preliminary by only focusing on specific types of anaphors like pronouns or definite noun phrases, using heuristic methods, and running on small data sets. Therefore, there is a need for an in-depth exploration of this task in the biomedical domain. Results: In this article, we presented a learning-based approach to coreference resolution in the biomedical domain. We made three contributions in our study. Firstly, we annotated a large scale coreference corpus, MedCo, which consists of 1,999 medline abstracts in the GENIA data set. Secondly, we proposed a detailed framework for the coreference resolution task, in which we augmented the traditional learning model by incorporating non-anaphors into training. Lastly, we explored various sources of ...
Keyword: biomedical text; Coreference resolution
URL: https://dx.doi.org/10.4230/dagsemproc.08131.4
https://drops.dagstuhl.de/opus/volltexte/2008/1522/
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19
Fast and scalable HPSG parsing
In: Traitement automatique des langues. - Saint-Cloud : ATALA 46 (2005) 2, 91-114
BLLDB
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20
Natural Language Processing – IJCNLP 2004 : First International Joint Conference, Hainan Island, China, March 22-24, 2004, Revised Selected Papers
Su, Keh-Yih; Tsujii, Jun'ichi; Lee, Jong-Hyeok. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005
UB Frankfurt Linguistik
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