EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES
نویسندگان
چکیده
منابع مشابه
Event Extraction with Complex Event Classification Using Rich Features
Biomedical Natural Language Processing (BioNLP) attempts to capture biomedical phenomena from texts by extracting relations between biomedical entities (i.e. proteins and genes). Traditionally, only binary relations have been extracted from large numbers of published papers. Recently, more complex relations (biomolecular events) have also been extracted. Such events may include several entities...
متن کاملJoint Modeling for Chinese Event Extraction with Rich Linguistic Features
Compared to the amount of research that has been done on English event extraction, there exists relatively little work on Chinese event extraction. We seek to push the frontiers of supervised Chinese event extraction research by proposing two extension to Li et al.'s (2012) state-of-the-art event extraction system. First, we employ a joint modeling approach to event extraction, aiming to addres...
متن کاملUnsupervised Event Coreference Resolution with Rich Linguistic Features
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering complex linguistic objects, these models consider a potentially infinite number of features and categorical outcomes. The evaluation performed for solving both withinand cross-document event coreference shows significan...
متن کاملComplex Biological Event Extraction from Full Text using Signatures of Linguistic and Semantic Features
Building on technical advances from the BioNLP 2009 Shared Task Challenge, the 2011 challenge sets forth to generalize techniques to other complex biological event extraction tasks. In this paper, we present the implementation and evaluation of a signaturebased machine-learning technique to predict events from full texts of infectious disease documents. Specifically, our approach uses novel sig...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Bioinformatics and Computational Biology
سال: 2010
ISSN: 0219-7200,1757-6334
DOI: 10.1142/s0219720010004586