Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Passage retrieval based on language models
Proceedings of the eleventh international conference on Information and knowledge management
Using WordNet and Lexical Operators to Improve Internet Searches
IEEE Internet Computing
Quantitative evaluation of passage retrieval algorithms for question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Passage retrieval vs. document retrieval for factoid question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Answer models for question answering passage retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Approaches to text mining for clinical medical records
Proceedings of the 2006 ACM symposium on Applied computing
Extraction of coherent relevant passages using hidden Markov models
ACM Transactions on Information Systems (TOIS)
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
Domain Adaptive Information Extraction Using Link Grammar and WordNet
C5 '07 Proceedings of the Fifth International Conference on Creating, Connecting and Collaborating through Computing
Methodological Review: Empirical distributional semantics: Methods and biomedical applications
Journal of Biomedical Informatics
Improving semi-supervised acquisition of relation extraction patterns
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
An insight into semantic similarity aspects using WordNet
International Journal of Information and Communication Technology
Spanish knowledge base generation for polarity classification from masses
Proceedings of the 22nd international conference on World Wide Web companion
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Relevant information within a document are usually embedded within a few sentences or passages (units). If any semantic tagging can be associated at the unit level within a document, the understanding of the information will be deeper and quicker saving a lot of effort and time of the user. In this paper we propose a simple approach of sentence tagging using the relational semantic network among lexical units as presented in WordNet. The approach is to propose a domain specific sub-taxonomy of key concepts following WordNet structure and associate a meaning with each of the sentences contextually. This approach also identifies those words from the text that can provide important semantic information in a tag assignation task. The occurrence of keywords will determinate a series of patterns that can be converted into rules for deciding the tagging and also information extraction as a useful application.