Domain-speciic text analysis requires a dictionary of linguistic patterns that identify references to relevant information in a text. This paper describes CRYSTAL, a fully automated tool that induces such a dictionary of text extraction rules. We discuss some key issues in developing an automatic dictionary induction system, using CRYSTAL as a concrete example. CRYSTAL derives text extraction r...

This paper introduces the possible usages, benefits, and challenges involved in the use of domain-specific monolingual parallel corpora in determining textual entailment (TE). A system that finds entailing text for a given statement is to be developed using monolingual parallel translations of the Bible as corpus as this is one of the most accessible monolingual parallel corpora. Different exis...

Detecting error in text is a difficult task. Current methods use a domain ontology to identify elements in the text that contradicts domain knowledge. Yet, these methods require manually defining the type of errors that are expected to be found in the text before applying them. In this paper we propose a new approach that uses logic reasoning to detect errors in a statement from text online. Su...

An advanced information extraction system requires an effective text categorization technique to categorize extracted facts (text patterns) into a hierarchy of domain-specific topic categories. Text patterns are often short and their categorization is quite different from conventional document categorization. This paper proposes a Web mining approach that exploits Web resources to categorize un...

Most of existing ontologies construction tools support construction of ontological relations (e.g., taxonomy, equivalence, etc.) but they do not support construction of domain relations, non-taxonomic conceptual relationships (e.g., causes, caused by, treat, treated by, has-member, contain, material-of, operated-by, controls, etc.). Domain relations are found mainly in text sources. TextOntoEx ...