Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

Although most works approach it as a simple categorization problem, sentiment analysis is
actually a suitcase research problem that requires tackling many natural language …

Teaching computers to solve language problems is one of the major challengesof natural
language processing. There is a large amount of interesting researchdevoted to this field …

Memory-based language processing (MBLP) views language processing as being based on
the direct reuse of previous experience rather than on the use of rules or other structures …

We examine the task of resolving complex cases of definite pronouns, specifically those for
which traditional linguistic constraints on coreference (eg, Binding Constraints, gender and …

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s ｶ ｪｰｷ ｼ n ｶ▽ ｷﾆｶ→[･ s ｩ s, s ｬ o ｷﾆｩ d ｮｨ [ｴﾂ ｪｲ ｱｹｮ･ s ｩｶ ｼ 3 ｨ [ｶｰｨ [ｾｧｪ奚ｪ團 [ｸ [ｶ▽ …

Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …

Memory-Based Learning (MBL) is an elegantly simple and robust machine-learning method
applicable to a wide range of tasks in Natural Language Processing (NLP). Starting from our …

Hitherto, sentiment analysis has been mainly based on algorithms relying on the textual
representation of online reviews and microblogging posts. Such algorithms are very good at …

We present a discriminative model for Japanese zero anaphora resolution that
simultaneously determines an appropriate case frame for a given predicate and its predicate …