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...
Abstract. Design Patterns are now widely accepted as a useful concept for guiding and documenting the design of object-oriented software systems. Still the UML is ill-equipped for ...
This paper investigates the problem of automatic chemical Term Recognition (TR) and proposes to tackle the problem by fusing Symbolic and statistical techniques. Unlike other solut...
Florian Boudin, Juan Manuel Torres Moreno, Marc El...