Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Helia Hashemi"'
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
CIKM
Representation learning has always played an important role in information retrieval (IR) systems. Most retrieval models, including recent neural approaches, use representations to calculate similarities between queries and documents to find relevant
Publikováno v:
KDD
Over recent years, podcasts have emerged as a novel medium for sharing and broadcasting information over the Internet. Audio streaming platforms originally designed for music content, such as Amazon Music, Pandora, and Spotify, have reported a rapid
Publikováno v:
ICTIR
The rise in popularity of mobile and voice search has led to a shift in focus from document retrieval to short answer passage retrieval for non-factoid questions. Some of the questions have multiple answers, and the aim is to retrieve a set of releva
Autor:
Longqi Yang, Hugues Bouchard, Sravana Reddy, Zahra Nazari, Ben Carterette, Rosie Jones, Markus Schedl, Aasish Pappu, Helia Hashemi, Oguz Semerci, Ching-Wei Chen, Ann Clifton, Hamed Zamani, Jussi Karlgren
Publikováno v:
SIGIR
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators. The great strides in search and recommendation in research an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c45cf34a59266684d92a62dd045ec8c
Publikováno v:
SIGIR
Asking clarifying questions in response to ambiguous or faceted queries has been recognized as a useful technique for various information retrieval systems, especially conversational search systems with limited bandwidth interfaces. Analyzing and gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f491bef3ffc93d36eb402859b9a154