Recognizing nested named entities in GENIA corpus

HLT-NAACL 2006 - BioNLP 2006: Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis, Proceedings of the Workshop

Volumn , Issue , 2006, Pages 112-113

  Gu, Baohua ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; SUPPORT VECTOR MACHINES; DEEP LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

BINARY CLASSIFICATION PROBLEMS; BIOMEDICAL TEXT; CLASS LABELS; GENIA CORPUS; NAMED ENTITIES; LABELINGS; SUPPORT VECTORS MACHINE;

NATURAL LANGUAGE PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 52149120620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1567619.1567642     Document Type: Conference Paper

References (7)

1. J. Kim, et al. 2003. GENIA corpus - A semantically annotated corpus for bio-textmining. Bioinformatics, Vol 19.
2. J. Kim, et al. 2004. Introduction to the Bio-Entity Recognition Task at JNLPBA. Proceedings of JNLPBA.
3. K. Lee, et al. 2003. Two-Phase Biomedical NE Recognition based on SVMS. Proceedings of ACL Workshop on NLP in Biomedical.
4. Y. Lin, et al. 2004. A Maximum Entropy Approach to Biomedical Named Entity Recognition. Proceedings of KDD Workshop on Data Mining and Bioinformatics.
5. G. Nenadic, et al. 2004. Mining Biomedical Abstracts: What's in a Term? Proceedings of IJCNLP 2004.
6. B. Settles. 2004. Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets. Proceedings of Joint Workshop on NLPBA.
7. G. Zhou, et al. 2004. Recognizing Names in Biomedical Texts: a Machine Learning Approach. Bioinformatics, Vol. 20, no. 7.