IEPAD: information extraction based on pattern discovery
Proceedings of the 10th international conference on World Wide Web
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
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
A CDD-based formal model for expert finding
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
EntityRank: searching entities directly and holistically
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Concordance-Based Entity-Oriented Search
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Combining document- and paragraph-based entity ranking
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A supervised learning approach to entity search
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Category-based query modeling for entity search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
A pattern learning approach to question answering within the ephyra framework
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
A probability model for related entity retrieval using relation pattern
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
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As the Web is becoming the largest knowledge repository which contains various entities and their relations, the task of related entity retrieval excites interest in the field of information retrieval. This challenging task is introduced in TREC 2009 Entity Track. In this task, given an entity and the type of the target entity, a retrieval system is required to return a ranked list of related entities extracted from a given large corpus. It means that entity ranking goes beyond entity relevance and integrates the judgment of relation into the evaluation of the retrieved entities. This paper proposes a probability model using relation patterns to address the task of related entity retrieval. This model takes into account both relevance and relation between entities. The authors focus on using relation patterns to measure the level of relations matching between entities, and then to estimate the probability of occurrence of relation between two entities. In addition, the authors represent entity by its context language model and measure the relevance between two entities by a language model. Experimental results on TREC Entity Track dataset show that the proposed model significantly improves retrieval performances over baseline. The comparison with other approaches also reveals the effectiveness of the model.