In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Abstract. The need of the current Natural Language Processing applications to identify text segments that express the same meaning in different ways, evolved into the identificatio...
Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
In this paper, we present an approach to answering “Other” questions using the notion of interest marking terms. “Other” questions have been introduced in the TREC-QA track...
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
Abstract. Studies of one-on-one tutoring have found that expert tutoring is more effective than non-expert tutoring, but the reasons for its effectiveness are relatively unexplor...
Xin Lu, Barbara Di Eugenio, Trina C. Kershaw, Stel...