J
Jun'ichi Tsujii
Researcher at National Institute of Advanced Industrial Science and Technology
Publications - 389
Citations - 16945
Jun'ichi Tsujii is an academic researcher from National Institute of Advanced Industrial Science and Technology. The author has contributed to research in topics: Parsing & Head-driven phrase structure grammar. The author has an hindex of 59, co-authored 389 publications receiving 15985 citations. Previous affiliations of Jun'ichi Tsujii include Microsoft & Kyoto University.
Papers
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Journal ArticleDOI
GENIA corpus—a semantically annotated corpus for bio-textmining
TL;DR: The GENIA corpus as mentioned in this paper is a large corpus of 2000 MEDLINE abstracts with more than 400 000 words and almost 100, 000 annotations for biological terms for bio-text mining.
Proceedings Article
brat: a Web-based Tool for NLP-Assisted Text Annotation
TL;DR: The brat rapid annotation tool (BRAT) is introduced, an intuitive web-based tool for text annotation supported by Natural Language Processing (NLP) technology and an evaluation of annotation assisted by semantic class disambiguation on a multicategory entity mention annotation task, showing a 15% decrease in total annotation time.
Proceedings ArticleDOI
Overview of BioNLP'09 Shared Task on Event Extraction
TL;DR: The design and implementation of the BioNLP'09 Shared Task is presented, indicating that state-of-the-art performance is approaching a practically applicable level and revealing some remaining challenges.
Book ChapterDOI
Developing a robust part-of-speech tagger for biomedical text
Yoshimasa Tsuruoka,Yuka Tateishi,Jin-Dong Kim,Tomoko Ohta,John McNaught,Sophia Ananiadou,Jun'ichi Tsujii +6 more
TL;DR: Experimental results on the Wall Street Journal corpus, the GENIA corpus, and the PennBioIE corpus revealed that adding training data from a different domain does not hurt the performance of a tagger, and the authors' tagger exhibits very good precision on all these corpora.
Journal ArticleDOI
Corpus annotation for mining biomedical events from literature
TL;DR: A new type of semantic annotation, event annotation, is completed, which is an addition to the existing annotations in the GENIA corpus, and is expected to become a valuable resource for NLP (Natural Language Processing)-based TM in the bio-medical domain.