Optimizing scoring functions and indexes for proximity search in type-annotated corpora
Proceedings of the 15th international conference on World Wide Web
EntityRank: searching entities directly and holistically
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Learning to rank for quantity consensus queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
EntityEngine: answering entity-relationship queries using shallow semantics
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Compressed data structures for annotated web search
Proceedings of the 21st international conference on World Wide Web
CONSENTO: a consensus search engine for answering subjective queries
Proceedings of the 21st international conference companion on World Wide Web
Data-based research at IIT Bombay
ACM SIGMOD Record
Learning joint query interpretation and response ranking
Proceedings of the 22nd international conference on World Wide Web
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Enabling entity search and ranking at Web-scale is fraught with many challenges: annotating the corpus with entities and types, query language design, index design, query processing logic, and answer consolidation. We describe a Web-scale entity search engine we are building to handle over a billion Web pages, over 200,000 types, over 1,500,000 entities, and hundreds of entity annotations per page. We describe the design of compressed, token span oriented indices for entity and type annotations. Our prototype demonstrates the practicality of Web-scale entity-relation search.