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Zero-anaphora resolution by learning rich syntactic pattern features
Ryu Iida, Kentaro Inui, Yuji Matsumoto
Article No.: 1
We approach the zero-anaphora resolution problem by decomposing it into intrasentential and intersentential zero-anaphora resolution tasks. For the former task, syntactic patterns of zeropronouns and their antecedents are useful clues. Taking...
Stemming words to (usually) remove suffixes has applications in text search, machine translation, document summarization, and text classification. For example, English stemming reduces the words "computer," "computing," "computation," and...
Named entity recognition in Vietnamese using classifier voting
Pham Thi Xuan Thao, Tran Quoc Tri, Dinh Dien, Nigel Collier
Article No.: 3
Named entity recognition (NER) is one of the fundamental tasks in natural-language processing (NLP). Though the combination of different classifiers has been widely applied in several well-studied languages, this is the first time this method has...