A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
QuASM: a system for question answering using semi-structured data
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Structured Data Extraction from the Web Based on Partial Tree Alignment
IEEE Transactions on Knowledge and Data Engineering
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Proximity-based document representation for named entity retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A graph-theoretic approach to webpage segmentation
Proceedings of the 17th international conference on World Wide Web
A densitometric approach to web page segmentation
Proceedings of the 17th ACM conference on Information and knowledge management
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
Extracting data records from the web using tag path clustering
Proceedings of the 18th international conference on World wide web
Positional language models for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Boilerplate detection using shallow text features
Proceedings of the third ACM international conference on Web search and data mining
Ad-hoc object retrieval in the web of data
Proceedings of the 19th international conference on World wide web
Evaluating verbose query processing techniques
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Entity ranking using Wikipedia as a pivot
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Ranking related entities: components and analyses
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
FACTO: a fact lookup engine based on web tables
Proceedings of the 20th international conference on World wide web
Towards a unified solution: data record region detection and segmentation
Proceedings of the 20th ACM international conference on Information and knowledge management
Combining inverted indices and structured search for ad-hoc object retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Exploiting paths for entity search in RDF graphs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning
Proceedings of the sixth ACM international conference on Web search and data mining
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We investigate the problem of general entity retrieval for enterprise websites. Our framework transforms the webpage content into a structured content representation, which captures hierarchical information blocks and semi-structured data records information. To facilitate entity retrieval given a user query, we develop a structured positional entity language model suitable for ranking entities extracted from the webpage content incorporating the structured content representation. Different from existing language models for retrieval, our proposed model considers both the proximity and the structured webpage content in a unified manner. Extensive experiments on the benchmark datasets demonstrate the effectiveness of our proposed framework.