Aspects of the automatic generation of SQL statements in a natural language query interface
Information Systems - Data bases: their creation, management, and utilization
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Case-based reasoning
Auto-FAQ: an experiment in cyberspace leveraging
Computer Networks and ISDN Systems
WordNet: a lexical database for English
Communications of the ACM
Bridging the lexical chasm: statistical approaches to answer-finding
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive natural language interfaces to FAQ knowledge bases
Data & Knowledge Engineering - Special issue on NLDB '99: applications of natural language to information systems
Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Question Answering with Textual CBR
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Omnibase: Uniform Access to Heterogeneous Data for Question Answering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
CBR for Document Retrieval: The FALLQ Project
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
What You Saw Is What You Want: Using Cases to Seed Information Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Answer Extraction in Technical Domains
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
FAQ finder: a case-based approach to knowledge navigation
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
The TREC question answering track
Natural Language Engineering
Automated Question Answering: Review of the Main Approaches
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
DynJAQ: An adaptive and flexible dynamic FAQ system: Research Articles
International Journal of Intelligent Systems
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Ontology-supported FAQ processing and ranking techniques
Journal of Intelligent Information Systems
Semantic enhancement for legal information retrieval: Iuriservice performance
Proceedings of the 11th international conference on Artificial intelligence and law
Discourse processing for context question answering based on linguistic knowledge
Knowledge-Based Systems
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Cluster-Based FAQ Retrieval Using Latent Term Weights
IEEE Intelligent Systems
Research on Mechanism of Agricultural FAQ Retrieval Based on Ontology
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
A knowledge-based question answering system for B2C eCommerce
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
Question answering based on pervasive agent ontology and Semantic Web
Knowledge-Based Systems
A syntactic tree matching approach to finding similar questions in community-based qa services
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
High-performance FAQ retrieval using an automatic clustering method of query logs
Information Processing and Management: an International Journal
Supervised learning approach to optimize ranking function for Chinese FAQ-finder
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An Effective Similarity Measurement for FAQ Question Answering System
ICECE '10 Proceedings of the 2010 International Conference on Electrical and Control Engineering
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
Knowledge-Based Systems
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
Hi-index | 0.00 |
Case-Based Reasoning (CBR) has proven to be a very useful technique to solve problems in Closed-Domains Question Answering such as FAQ retrieval. Instead of trying to uderstand the question this method consists of retrieving the most similar case (Question/Answer pairs) among all cases by analogy. Keyword comparison criterion or statistical approaches are often used to implement similarity measure. However, those methods present the following disadvantages. On the one side, choosing keywords is an expert-knowledge domain-dependant task that is often performed manually. Furthermore, keyword comparison criterion does not guarantee the total differentiation among cases. On the other side, statistical approaches do not perform with enough information in sentence-level problems and are not interpretable. In order to alleviate these deficiencies we present a new method called the Minimal Differentiator Expressions (MDE) algorithm. This algorithm automatically obtains a set of linguistic patterns (expressions) used to retrieve the most relevant case to the user question. Those patterns present the following advantages: they are composed by the simplest sets of words which permit differentiation among cases and they are easily interpretable.