Zobrazeno 1 - 9
of 9
pro vyhledávání: '"David Zajic"'
Autor:
Corey Miller, Karineh Aghajanian-Stewart, Aric Bills, Ryan Corbett, Jack Diaz, Ewa Golonka, Evan Jones, Jace Livingston, Shahla Mostafavi, Peter Osthus, Joseph Ritch, Dustin Stewart, Rachel Strong, Thomas Triebwasser, Mark Vinson, David Zajic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f5a7aa663da66a70b1c7bccabf7966
https://doi.org/10.4324/9781315735511
https://doi.org/10.4324/9781315735511
Autor:
Christian Hettick, Sarah C. Wayland, Tim Buckwalter, Charles Blake, C. Anton Rytting, Paul Rodrigues, David Zajic
Publikováno v:
ACM Transactions on Asian Language Information Processing. 10:1-15
The “Did You Mean...?” system, described in this article, is a spelling corrector for Arabic that is designed specifically for L2 learners of dialectal Arabic in the context of dictionary lookup. The authors use an orthographic density metric to
Publikováno v:
Information Processing & Management. 44:1600-1610
We present two approaches to email thread summarization: collective message summarization (CMS) applies a multi-document summarization approach, while individual message summarization (IMS) treats the problem as a sequence of single-document summariz
Publikováno v:
Information Processing & Management. 43:1549-1570
This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization-a ''parse-and-trim'' approach and a statistical noisy-channel approach. We introduce the multi-candidate reduc
Publikováno v:
ACM Transactions on Asian Language Information Processing. 2:270-289
This paper presents new approaches to headline generation for English newspaper texts, with an eye toward the production of document surrogates for document selection in cross-language information retrieval. This task is difficult because the user mu
Autor:
Pradeep Muthukrishan, Vahed Qazvinian, Saif M. Mohammad, Ahmed Hassan, David Zajic, Dragomir R. Radev, Bonnie J. Dorr, Melissa Egan
Publikováno v:
HLT-NAACL
The number of research publications in various disciplines is growing exponentially. Researchers and scientists are increasingly finding themselves in the position of having to quickly understand large amounts of technical material. In this paper we
This technical report is an overview of work done on Headline Generation for written and broadcast news. The report covers HMM Hedge, a statistical approach based on the noisy channel model, Hedge Trimmer, a parse-andtrim approach using linguisticall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e73b6c3ee4e30f11ac3570df664f0522
https://doi.org/10.21236/ada454198
https://doi.org/10.21236/ada454198
Autor:
Jun Luo, Douglas W. Oard, Bonnie J. Dorr, Richard M. Schwartz, David Zajic, Daqing He, Jianqiang Wang
Publikováno v:
Comparative Evaluation of Multilingual Information Access Systems ISBN: 9783540240174
CLEF (Working Notes)
CLEF (Working Notes)
Maryland performed two sets of experiments for the 2003 Cross-Language Evaluation Forum’s interactive track, one focused on interactive selection of appropriate translations for query terms, the second focused on interactive selection of relevant d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24e0bfa79c887881fc61c4e5b8393b61
https://doi.org/10.1007/978-3-540-30222-3_42
https://doi.org/10.1007/978-3-540-30222-3_42
Publikováno v:
Proceedings of the HLT-NAACL 03 on Text summarization workshop.
This paper presents Hedge Trimmer, a HEaDline GEneration system that creates a headline for a newspaper story using linguistically-motivated heuristics to guide the choice of a potential headline. We present feasibility tests used to establish the va