FAQFinder is a Web-based, natural language question-answering system. It answers a user’s question by searching the Usenet Frequently Asked Questions (FAQ) files for a similar FAQ question, and displaying its answer to the user. To find the most similar FAQ question, FAQFinder measures similarity in part by using WordNet (Miller, 1990). To increase the accu-racy of the similarity metric, we have incorpo-rated an automated WordNet sense tagger into the process. In this paper, we show that the use of this sense tagger improves FAQFinder’s match-ing accuracy. We argue that WordNet sense tag-ging can also be used in more general Web search tasks
A natural language interface system for an Internet search engine shows substantial increases in the...
The unavailability of very large corpora with se-mantically disambiguated words is a major limi-tati...
Introduction: the FAQfinder System As the quantity of information available on the Internet continue...
This paper describes FAQ finder system tosearch the user required questions. FAQ FINDERis a natural ...
This paper describes FAQ Finder, a natural language question-answering system that uses files of fre...
One useful way to find the answer to a question is to search a library of previously-answered questi...
This paper describes FAQ Finder, a natural language question-answering system that uses files of fre...
This paper presents Frequently Asked Question(FAQ) finder system that uses a natural languagequestio...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
This paper presents a natural language interface system to an Internet search engine that provides t...
Abstract. The term “knowledge acquisition bottleneck ” has been used in Word Sense Disambiguation Ta...
We present FAQ Minder, an implemented prototype of the system that parses FAQs, files of Frequently ...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
This study investigated the use of the lexical database WordNet to solve vocabulary matching quizzes...
This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Word...
A natural language interface system for an Internet search engine shows substantial increases in the...
The unavailability of very large corpora with se-mantically disambiguated words is a major limi-tati...
Introduction: the FAQfinder System As the quantity of information available on the Internet continue...
This paper describes FAQ finder system tosearch the user required questions. FAQ FINDERis a natural ...
This paper describes FAQ Finder, a natural language question-answering system that uses files of fre...
One useful way to find the answer to a question is to search a library of previously-answered questi...
This paper describes FAQ Finder, a natural language question-answering system that uses files of fre...
This paper presents Frequently Asked Question(FAQ) finder system that uses a natural languagequestio...
The unavailability of very large corpora with semantically disambiguated words is a major limitation...
This paper presents a natural language interface system to an Internet search engine that provides t...
Abstract. The term “knowledge acquisition bottleneck ” has been used in Word Sense Disambiguation Ta...
We present FAQ Minder, an implemented prototype of the system that parses FAQs, files of Frequently ...
An important problem in Natural Language Processing is identifying the correct sense of a word in a ...
This study investigated the use of the lexical database WordNet to solve vocabulary matching quizzes...
This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Word...
A natural language interface system for an Internet search engine shows substantial increases in the...
The unavailability of very large corpora with se-mantically disambiguated words is a major limi-tati...
Introduction: the FAQfinder System As the quantity of information available on the Internet continue...