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...
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
Abstract. Spanglish is the simultaneous use, or alternating of both, traditional Spanish and English within the same conversational event. This interlanguage is commonly used in U....
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...