We employ the techniques of ontology and linguistics to develop a fully-automatic annotation technique, which, when coupled with an automatic ontology construction method, can play a key role in the development of semantic portals. Based on this technique, we also demonstrate a semanticportal prototype which defines how a semantic portal is interacting with the user by providing five different ...

Keyword search has been for several years the most popular technique for retrieving information over semistructured data on the web. The reason of this unprecedented success is well known and twofold: (1) the user does not need to master a complex query language to specify her requests for data, and (2) she does not need to have any knowledge of the structure of the data sources. However, these...

ADS has been developing an approach to text processing, called CODEX, COntext directed Data EXtraction), that couples a concept-based, probabilistic keyword pattern matcher, called RUBRIC, with a probabilistic, gen eralized graph composition chart parser, called CAUCUS . We configure these two key technologies together for a variety of natural language sorting and gisting applications to provid...

The QALab task requires to solve the history problems of the Center Exam. Although it seems like a factoid based questionanswering problems, we suggest a simple, but fundamentally important, keyword based technique. Regardless of employed methods, the way how to handle the keyword distribution is the fundamental issue to solve the problems. Our system is domainindependent, language-independent,...

We propose a technique for detecting keywords quickly from a very large speech database without using a large-sized memory. For acceleration of search and saving the use of memory, we employed a suffix array as a data structure and applied phonemebased DP-matching to it. To avoid exponential explosion of process time with the length of a keyword, a long keyword is divided into short sub-keyword...

Textual entailment is normally regarded as a deeper analysis issue among other NLP techniques. Most textual entailment approaches employ deeper syntactic and semantic analyses. In contrast to such approaches, we used a simple, but fundamentally important, keyword based technique. Our system architecture was built on our observation that many of textual entailment issues are knowledge search iss...