The lexicons for Knowledge-Based Machine Translation systems require knowledge intensive morphological, syntactic and semantic information. This information is often used in diffe...
In this paper, we propose a method where humanoid robot acquires meanings of grammatical connectives using direct physical feedback from human. Our system acquired 70% connectives ...
This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase...
Textual entailment recognition plays a fundamental role in tasks that require indepth natural language understanding. In order to use entailment recognition technologies for real-...
Previous work on the induction of selectional preferences has been mainly carried out for English and has concentrated almost exclusively on verbs and their direct objects. In thi...