Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
The discourse-level structure of empirical abstracts: an exploratory study
Information Processing and Management: an International Journal
Reader's models of text structures: the case of academic articles
International Journal of Man-Machine Studies
Subtopic structuring for full-length document access
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The identification of important concepts in highly structured technical papers
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Document structure and digital libraries: how researchers mobilize information in journal articles
Information Processing and Management: an International Journal - Special issue on progress toward digital libraries
Do batch and user evaluations give the same results?
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating evaluation measure stability
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on interactivity at the text retrieval conference (TREC)
Integrating automatic genre analysis into digital libraries
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
A cognitive approach to judicial opinion structure: applying domain expertise to component analysis
Proceedings of the 8th international conference on Artificial intelligence and law
Evaluation by highly relevant documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Why batch and user evaluations do not give the same results
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Liberal relevance criteria of TREC -: counting on negligible documents?
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Passage retrieval based on language models
Proceedings of the eleventh international conference on Information and knowledge management
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Journal of the American Society for Information Science and Technology
Superimposed Schematics: Introducing E-R Structure for In-Situ Information Selections
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
WWW '03 Proceedings of the 12th international conference on World Wide Web
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Development, implementation and testing of a discourse model for newspaper texts
HLT '93 Proceedings of the workshop on Human Language Technology
Modeling task-genre relationships for IR in the workplace
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
Using semantic components to facilitate access to domain-specific documents in government settings
dg.o '06 Proceedings of the 2006 international conference on Digital government research
User performance versus precision measures for simple search tasks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Using semantic components to express clinical questions against document collections
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Semantic components enhance retrieval of domain-specific documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Some(what) grand challenges for information retrieval
ACM SIGIR Forum
Semantic components: a model for enhancing retrieval of domain-specific information
Semantic components: a model for enhancing retrieval of domain-specific information
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Discounted cumulated gain based evaluation of multiple-query IR sessions
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Enhancing digital libraries with social navigation: the case of ensemble
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Management of genotyping-related documents by integrated use of semantic tagging
Transactions on large-scale data- and knowledge-centered systems IV
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We seek to leverage an expert user's knowledge about how information is organized in a domain and how information is presented in typical documents within a particular domain-specific collection, to effectively and efficiently meet the expert's targeted information needs. We have developed the semantic components model to describe important semantic content within documents. The semantic components model for a given collection (based on a general understanding of the type of information needs expected) consists of a set of document classes, where each class has an associated set of semantic components. Each semantic component instance consists of segments of text about a particular aspect of the main topic of the document and may not correspond to structural elements in the document. The semantic components model represents document content in a manner that is complementary to full text and keyword indexing. This paper describes how the semantic components model can be used to improve an information retrieval system. We present experimental evidence from a large interactive searching study that compared the use of semantic components in a system with full text and keyword indexing, where we extended the query language to allow users to search using semantic components, to a base system that did not have semantic components. We evaluate the systems from a system perspective, where semantic components were shown to improve document ranking for precision-oriented searches, and from a user perspective. We also evaluate the systems from a session-based perspective, evaluating not only the results of individual queries but also the results of multiple queries during a single interactive query session.