In this paper we study the problem of entity retrieval for news applications and the importance of the news trail history (i.e. past related articles) to determine the relevant en...
Gianluca Demartini, Malik Muhammad Saad Missen, Ro...
The traditional mention-pair model for coreference resolution cannot capture information beyond mention pairs for both learning and testing. To deal with this problem, we present ...
Xiaofeng Yang, Jian Su, Jun Lang, Chew Lim Tan, Ti...
In biomedical articles, terms with the same surface forms are often used to refer to different entities across a number of model organisms, in which case determining the species b...
One of the unique challenges to Chinese Language Processing is cross-strait named entity recognition. Due to the adoption of different transliteration strategies, foreign name tra...
Petr Simon, Chu-Ren Huang, Shu-Kai Hsieh, Jia-Fei ...
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...