Natural Language Processing for the World Wide Web
Papers from the AAAI Spring Symposium
The World Wide Web (WWW) is rapidly becoming a powerful medium for human communication and dissemination of information. Most information on the WWW is expressed in natural language texts. Yet, most software tools built for the WWW do not apply natural language processing (NLP) techniques for searching, retrieving, presenting, or generating texts.
The field of NLP has the potential to offer better tools that exploit the syntax, semantics, and pragmatics of natural language texts, than current ones based mostly on keyword matching and database indexing methods, for easing the overload of texts on the users. The WWW in turn is an excellent domain to develop practical applications of NLP. Potential applications of NLP include (but are in no way limited to) automatic and interactive summarization and machine translation of WWW documents, information brokering, document filtering, and automatic generation of WWW documents.
This symposium sought to bring together researchers in various subdisciplines of NLP and from the Web community to address applications of NLP for improving the use of the WWW. The symposium included paper presentations, on-line demonstrations, commentaries, working groups, and a panel discussion.