Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Using corpus statistics to remove redundant words in text categorization
Journal of the American Society for Information Science
Stemming algorithms: a case study for detailed evaluation
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Information Extraction: Techniques and Challenges
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Question classification using support vector machines
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Disambiguation of super parts of speech (or supertags): almost parsing
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Searching the Web: general and scientific information access
IEEE Communications Magazine
PageRank without hyperlinks: structural re-ranking using links induced by language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using random walk models
Proceedings of the 14th ACM international conference on Information and knowledge management
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
High accuracy retrieval with multiple nested ranker
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion
Journal of the American Society for Information Science and Technology
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Non-local evidence for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
Microsearch: When Search Engines Meet Small Devices
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Re-ranking search results using language models of query-specific clusters
Information Retrieval
Evaluating the inferential utility of lexical-semantic resources
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Searching Polyphonic Indonesian Folksongs Based on N-gram Indexing Technique
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Aggregation Models for People Finding in Enterprise Corpora
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Microsearch: A search engine for embedded devices used in pervasive computing
ACM Transactions on Embedded Computing Systems (TECS)
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
G-Finder: routing programming questions closer to the experts
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Query expansion in folksonomies
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Re-ranking search results using an additional retrieved list
Information Retrieval
Proceedings of the fifth ACM international conference on Web search and data mining
Is the contextual information relevant in text clustering by compression?
Expert Systems with Applications: An International Journal
Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus
ACM Transactions on Asian Language Information Processing (TALIP)
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Although information retrieval research has always been concerned with improving the effectiveness of search, in some applications, such as information analysis, a more specific requirement exists for high accuracy retrieval. This means that achieving high precision in the top document ranks is paramount. In this paper we present work aimed at achieving high accuracy in ad-hoc document retrieval by incorporating approaches from question answering(QA). We focus on getting the first relevant result as high as possible in the ranked list and argue that traditional precision and recall are not appropriate measures for evaluatin this task. We instead use the mean reciprocal rank(MRR) of the first relevant result. We evaluate three different methods for modifying queries to achieve high accuracy. The experiments done on TREC data provide support for the approach of using MRR and incorporating QA techniques for getting high accuracy in ad-hoc retrieval task.