Natural Language Processing in the Legal Domain

Natural language processing in CLIME, a multilingual legal advisory system

Domain Adaptation of Natural Language Processing Systems

DOMAIN ADAPTATION OF NATURAL LANGUAGE PROCESSING SYSTEMS John Blitzer Fernando Pereira Statistical language processing models are being applied to an ever wider and more varied range of linguistic domains. Collecting and curating training sets for each different domain is prohibitively expensive, and at the same time differences in vocabulary and writing style across domains can cause state-of-...

Domain Knowledge for Natural Language Processing

In this paper we describe the organization and contents of the knowledge base (kb) developed for the processing of patient discharge summaries (pdss)|letters sent by a hospital consultant to a patient's own doctor. The processing system itself can be seen as a specialization of the Generic Information Extraction System outlined by Hobbs (Hobbs 1993). As it is stated in (Jacobs et al 1993) among...

Ontology-Based Natural Language Query Processing for the Biological Domain

This paper describes a natural language query engine that enables users to search for entities, relationships, and events that are extracted from biological literature. The query interpretation is guided by a domain ontology, which provides a mapping between linguistic structures and domain conceptual relations. We focus on the usability of the natural language interface to users who are used t...

New trends in natural language processing: statistical natural language processing.

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and informa...