This paper presents a definition question answering approach, which is capable of mining textual definitions from large collections of documents. In order to automatically identify...
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
Recent “visual worlds” studies, wherein researchers study language in context by monitoring eye-movements in a visual scene during sentence processing, have revealed much about...
Marshall R. Mayberry, Matthew W. Crocker, Pia Knoe...
Abstract. This paper proposes a two-step method for Chinese text categorization (TC). In the first step, a Naïve Bayesian classifier is used to fix the fuzzy area between two cate...