2026-07-22T10:47:11Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:3520 2024-03-06T10:28:57Z ddc:004 open_access

Query Matching Evaluation in an Infobot for University Admissions Processing Hancox, Peter Polatidis, Nikolaos chatbot infobot question-answering Jaro string similarity Jaro-Winkler string similarity "Infobots" are small-scale natural language question answering systems drawing inspiration from ELIZA-type systems. Their key distinguishing feature is the extraction of meaning from users' queries without the use of syntactic or semantic representations. Two approaches to identifying the users' intended meanings were investigated: keyword-based systems and Jaro-based string similarity algorithms. These were measured against a corpus of queries contributed by users of a WWW-hosted infobot for responding to questions about applications to MSc courses. The most effective system was Jaro with stemmed input (78.57%). It also was able to process ungrammatical input and offer scalability. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Peter Hancox and Nikolaos Polatidis 2012 Is Part Of OASIcs, Volume 21, 1st Symposium on Languages, Applications and Technologies (2012) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2012.149 urn:nbn:de:0030-drops-35206 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2012.149 eng https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode