Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning ...
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,...
Abstract. Ontology languages are being proposed to provide machine-understandable descriptions of resources that permit easy location of these resource. Content managers can also b...