Zobrazeno 1 - 7
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pro vyhledávání: '"Rashmi Sankepally"'
Autor:
Rashmi Sankepally
Publikováno v:
SIGIR
Events are an integral part of our day-to-day search needs. Users search for various kinds of events such as political events, organizational announcements, policy changes, personal events, criminal activity and so on. In linguistics, events are ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46f0e3281290765562b930b23d768df
https://doi.org/10.1145/3331184.3331415
https://doi.org/10.1145/3331184.3331415
Publikováno v:
SIGIR
This paper introduces the coreferent mention retrieval task, in which the goal is to retrieve sentences that mention a specific entity based on a query by example in which one sentence mentioning that entity is provided. The development of a corefere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db60074db431cccb44005c7d4df63cc
https://doi.org/10.1145/3209978.3210139
https://doi.org/10.1145/3209978.3210139
Publikováno v:
CHIIR
Typical search engines for spoken content begin with some form of language-specific audio processing such as phonetic word recognition. Many languages, however, lack the language tuned preprocessing tools that are needed to create indexing terms for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20792e1d3a873361dc5f91c9d0bad9dd
https://doi.org/10.1145/2854946.2854987
https://doi.org/10.1145/2854946.2854987
Publikováno v:
SIGIR
The development of a new test collection is described in which the task is to search naturally occurring spoken content using naturally occurring spoken queries. To support research on speech retrieval for low-resource settings, the collection includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a46e34b19db43f193a566259f7daef7
https://doi.org/10.1145/2766462.2767791
https://doi.org/10.1145/2766462.2767791
Publikováno v:
HLT-NAACL
Research on ranked retrieval of spoken content has assumed the existence of some automated (word or phonetic) transcription. Recently, however, methods have been demonstrated for matching spoken terms to spoken content without the need for language-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e7088a0f7489ca43973bfd342d34323
https://doi.org/10.3115/v1/n15-1061
https://doi.org/10.3115/v1/n15-1061
Publikováno v:
FIRE
The Morpheme Extraction task (MET) was organized for the first time in FIRE 2012 and subsequently in FIRE 2013. Participating systems were required to provide morphemes of given term lists. The track was offered in five languages viz. Bengali, Gujara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96472bb4d5892cc99dca7c495cb2a3f7
https://doi.org/10.1145/2701336.2701637
https://doi.org/10.1145/2701336.2701637
Publikováno v:
FIRE
The FIRE 2013 Question Answering for the Spoken Web (QASW) task was an information retrieval evaluation in which the goal was to match spoken Gujarati questions to spoken Gujarati answers. This paper describes the design of the task, the development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0171ff31fd03b228fe8c63648f57fa0a
https://doi.org/10.1145/2701336.2701638
https://doi.org/10.1145/2701336.2701638