Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jade Goldstein"'
Publikováno v:
International Journal of Human-Computer Interaction. 29:629-646
Content extraction systems can automatically extract entities and relations from raw text and use the information to populate knowledge bases, potentially eliminating the need for manual data discovery and entry. Unfortunately, content extraction is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d12e09731d722e5664f2c0daaff401a8
https://doi.org/10.1080/10447318.2012.758528
https://doi.org/10.1080/10447318.2012.758528
Autor:
Jade Goldstein, Jaime Carbinell
Publikováno v:
SIGIR
This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87877285c3bb439cdff2e3981105dd76
https://doi.org/10.1145/3130348.3130369
https://doi.org/10.1145/3130348.3130369
Publikováno v:
Journal of Visual Languages & Computing. 5:339-363
In this paper we propose a framework that combines the functionality of data exploration and automatic presentation systems to create a knowledge-based interactive data exploration system. The purpose of a data exploration system is to enable users t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9717eba668fc9c75ca4a758a4152ea11
https://doi.org/10.1006/jvlc.1994.1020
https://doi.org/10.1006/jvlc.1994.1020
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642190315
IC3K
IC3K
The typical method for transferring key information from unstructured text to knowledge bases is laborious manual entry, but automated information extraction is still at unacceptable accuracies to replace it. A viable alternative is a user interface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2d1a2e1ae4609892ec3e0c08d4f48b
https://doi.org/10.1007/978-3-642-19032-2_21
https://doi.org/10.1007/978-3-642-19032-2_21
Publikováno v:
EACL
In this paper, we describe experiments conducted on identifying a person using a novel unique correlated corpus of text and audio samples of the person's communication in six genres. The text samples include essays, emails, blogs, and chat. Audio sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad5fcee0f4d5e4c6cb314d5b82330b3a
https://doi.org/10.3115/1609067.1609104
https://doi.org/10.3115/1609067.1609104
Publikováno v:
CIKM
In this paper, we present a novel technique of first performing document genre identification, then utilizing the genre for producing tailored summaries based on a user's information seeking needs - genre oriented goal-focused summarization - such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4c67f4965676128d98628a8386bb84
https://doi.org/10.1145/1321440.1321568
https://doi.org/10.1145/1321440.1321568
Publikováno v:
CIKM
This paper discusses passage extraction approaches to multidocument summarization that use available information about the document set as a whole and the relationships between the documents to build on single document summarization methodology. Mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ec4908ecdce8a5b90dd1e14e86a64b2
https://doi.org/10.1145/354756.354815
https://doi.org/10.1145/354756.354815
Autor:
Jaime G. Carbonell, Jade Goldstein
Publikováno v:
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval.
This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31b9b936cbd1d4e0ad45cefd6f5aed9a
https://doi.org/10.1145/290941.291025
https://doi.org/10.1145/290941.291025
Autor:
Jaime G. Carbonell, Jade Goldstein
Publikováno v:
TIPSTER
This paper develops a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcbc597c4f73225f86fb91ab61429998
https://doi.org/10.3115/1119089.1119120
https://doi.org/10.3115/1119089.1119120