An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
In recent literature it is commonly agreed that the first phase of the software development process is still an area of concern. Furthermore, while software technology has been ch...
Abstract. We describe an approach to creating a small but diverse corpus in English that can be used to elicit information about any target language. The focus of the corpus is on ...
This paper describes experimental use of the multi-agent architecture to integrate Natural Language and Information Systems research and teaching, by casting a group of students a...