Existing approaches to object-oriented system development are poorly integrated in several ways. This inadequate integration is ubiquitous and causes numerous inefficiencies in th...
Stephen W. Liddle, David W. Embley, Scott N. Woodf...
Abstract. In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against different systems foun...
Jan Strunk, Carlos Nascimento Silla Jr., Celso A. ...
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
Abstract. Discourse segmentation is the division of a text into minimal discourse segments, which form the leaves in the trees that are used to represent discourse structures. A de...
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...