Evidence finding using a collection of books

Cartright, Marc-Allen; Feild, Henry; Allan, James

doi:10.1145/2064058.2064063

Cited by 11 publications

(11 citation statements)

References 9 publications

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“…In this model, given a query, documents are ranked based on features of documents containing a single query term, two query terms sequentially appearing in the query, and two query terms in any order. This model has been shown to be effective in many applications (Balasubramanian et al, 2007;Cartright et al, 2011;Bendersky et al, 2009). …”

Section: Ir Systemsmentioning

confidence: 99%

Key Concept Identification for Medical Information Retrieval

Zheng

Yu²

2015

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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The difficult language in Electronic Health Records (EHRs) presents a challenge to patients' understanding of their own conditions. One approach to lowering the barrier is to provide tailored patient education based on their own EHR notes. We are developing a system to retrieve EHR note-tailored online consumer oriented health education materials. We explored topic model and key concept identification methods to construct queries from the EHR notes. Our experiments show that queries using identified key concepts with pseudo-relevance feedback significantly outperform (over 10-fold improvement) the baseline system of using the full text note.

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Section: Ir Systemsmentioning

confidence: 99%

Key Concept Identification for Medical Information Retrieval

Zheng

Yu²

2015

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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“…The linked data provides a flexible way for users to start with an entity of interest from Wikipedia and find references to it directly across the collection. Beyond an entity, the flexible search interface can support the evidence finding task, which starts from a statement in text that has been highlighted by a user [2].…”

Section: Related Workmentioning

confidence: 99%

“…We designed Proteus to enable users to not only search over the text and entities of a collection, but to navigate over the connections between entities and topics by shifting perspectives. Consequently, Proteus provides an excellent platform for a variety of exploratory search tasks, including Evidence Finding [2].…”

Section: Introductionmentioning

confidence: 99%

Search and exploration of scanned books

Cartright

Dalton

Allan

2012

Proceedings of the Fifth ACM Workshop on Research Advances in Large Digital Book Repositories and Complementary Media

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In this demo, we present Proteus, a novel interface for interacting with multiple retrieval types extracted from scanned books provided by the Internet Archive. The primary purpose of Proteus is to provide a rich interactive experience for users to explore collections with automatically extracted and linked entity data. The system supports seamlessly shifting perspectives between books, entities, and topics. Proteus provides a starting point for a variety of exploratory search tasks.

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“…Cartright, Field and Allan tackle the novel and challenging task of Evidence Finding in a collection of digitized books [2]. Its goal is to find confirming or refuting evidence in books for natural language assertions.…”

Section: System Focus: Information Retrieval and Extractionmentioning

confidence: 99%

BooksOnline'11

Kazai

Eickhoff

Brusilovsky

2011

Proceedings of the 20th ACM International Conference on Information and Knowledge Management

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The BooksOnline Workshop series aims to foster the discussion and exchange of research ideas towards addressing challenges and exploring opportunities around large collections of digital books and complementary media. The fourth workshop in the series, BooksOnline'11 pays special attention to the role of social media and the phenomena of crowdsourcing in the context of online books, which is expected to be key in defining new user experiences in digital libraries and on the Web. The workshop boasts a high quality program, including keynote addresses by Ville Miettinnen, CEO of Microtask and Adam Farquhar, Head of Digital Library Technology at The British Library. From the accepted papers two main themes became salient: 1) Information retrieval and information extraction methods focused on enhancing digital libraries, and 2) Studies and analyses of reading experience and behavior. This paper provides an overview of the workshop and the accepted contributions.

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Evidence finding using a collection of books

Cited by 11 publications

References 9 publications

Key Concept Identification for Medical Information Retrieval

Key Concept Identification for Medical Information Retrieval

Search and exploration of scanned books

BooksOnline'11

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