The World Wide Web has become the largest information source in recent years, and search engines are indispensable tools for finding needed information from the Web. While modern search engine technology has its roots in text/information retrieval techniques, it also consists of solutions to unique problems arising from the Web such as web page crawling and utilizing linkage information to impr...

In this paper we present a quantitative investigation into the impact of text normalization on lexica and language models for speech recognition in French. The text normalization process defines what is considered to be a word by the recognition system. Depending on this definition we can measure different lexical coverages and language model perplexities, both of which are closely related to t...

This paper proposes an extractive generic text summarization model that generates summaries by selecting sentences according to their scores. Sentence scores are calculated using their extensive coverage of the main content of the text, and summaries are created by extracting the highest scored sentences from the original document. The model formalized as a multiobjective integer programming pr...

Text mining aims at constructing classification models and finding interesting patterns in large text collections. This paper investigates the utility of applying these techniques to media analysis, more specifically to support discourse analysis of news reports about the 2007 Kenyan elections and postelection crisis in local (Kenyan) and Western (British and US) newspapers. It illustrates how ...

Our goal is to evaluate the grammatical coverage of the surface realization component of a natural language generation system by means of target suites. We consider the utility of re-using for this purpose test suites designed to assess the coverage of natural language analysis / understanding systems. We find that they are of some interest, in helping inter-system comparisons and in providing ...

Traditional syntactic models of parsing have been inadequate for task-driven processing of extended text, because they spend most of their time on misdirected linguistic analysis, leading to problems with both efficiency and coverage. Statistical and domain-driven processing offer compelling possibilities, but only as a complement to syntactic processing. For semanticallyoriented tasks such as ...

Broad coverage, high quality parsers are available for only a handful of languages. A prerequisite for developing broad coverage parsers for more languages is the annotation of text with the desired linguistic representations (also known as “treebanking”). However, syntactic annotation is a labor intensive and time-consuming process, and it is difficult to find linguistically annotated text in ...

We participated in Japanese tasks of RITE in NTCIR9 (team id: “KYOTO”). Our proposed method regards predicateargument structure as a basic unit of handling the meaning of text/hypothesis, and performs the matching between text and hypothesis. Our system first performs predicateargument structure analysis to both a text and a hypothesis. Then, we perform the matching between text and hypothesis....

This paper describes KTU system for NTCIR-11 RITE-VAL Japanese Tasks. The proposed method regards predicateargument structure as a basic unit of handling the meaning of text/hypothesis, and performs the matching between text and hypothesis. The system first performs predicateargument structure analysis to both a text and a hypothesis. Then, we perform the matching between text and hypothesis. I...