This paper reports on a study involving the automatic extraction of Chinese legal terms. We used a word segmented corpus of Chinese court judgments to extract salient legal expres...
Abstract. Term extraction is an important problem in natural language processing. In this paper, we propose a language independent statistical corpus-based term extraction algorith...
This paper proposes a new approach for the automatic extraction of bilingual terms from a domain-specific bilingual parallel corpus. We combine existing monolingual term extractor...
Abstract. This paper presents an information system for legal professionals that integrates natural language processing technologies such as text classification and summarization. ...
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...