Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Siavash Kazemian"'
Publikováno v:
ACL (1)
There are numerous studies suggesting that published news stories have an important effect on the direction of the stock market, its volatility, the volume of trades, and the value of individual stocks mentioned in the news. There is even some publis
Autor:
ACM TVX2015, Ladly, Martha J., Penn, Gerald, Ludlow, Bryn A., Siavash Kazemian, Jofre, Ana, Wright, Laura
DEMO_109: The CBC Newsworld Holodeck Exploratory Demonstration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fa5176c5104df2993b381710156fcb1
Autor:
Gerald Penn, Cathy Pin Chun Chen, Ruzette Tanyag, Siavash Kazemian, Pavika Chintraruck, Maziar Ghaderi, Jessica Peter, Bryn A. Ludlow, Martha Ladly, Peggy Zhou
Publikováno v:
CHI Extended Abstracts
For the past 73 years, the CBC has disseminated a unique Canadian perspective across the world, producing a phenomenally rich multimedia record of the country and our social, political and cultural heritage and news. This project utilizes visualizati
Publikováno v:
WASSA@ACL
There are numerous studies suggesting that published news stories have an important effect on the direction of the stock market, its volatility, the volume of trades, and the value of individual stocks mentioned in the news. There is even some publis
Autor:
Cosmin Munteanu, Adam Lee, Ani Nenkova, Stephen Tratz, Kyla Cheung, Siavash Kazemian, Clare R. Voss, Benoit Favre, Dennis Ochei, Yang Liu, Frauke Zeller, Gerald Penn
Publikováno v:
INTERSPEECH
Interspeech, Lyon (France)
Interspeech, Lyon (France), 2013, Unknown, Unknown Region
HAL
Interspeech, Lyon (France)
Interspeech, Lyon (France), 2013, Unknown, Unknown Region
HAL
We propose an alternative evaluation metric to Word Error Rate (WER) for the decision audit task of meeting recordings, which exemplifies how to evaluate speech recognition within a legitimate application context. Using machine learning on an initial
Publikováno v:
SLT
The Internet has become an important supply channel of spoken documents. Efficient ways of navigating their content are highly desirable. This paper aims to identify the most salient utterances from online spoken documents using relevant hypertext th
Publikováno v:
Multimedia Information Retrieval
This paper compares the performance of position-specific posterior lattices (PSPL) and confusion networks applied to spoken utterance retrieval, and tests these recent proposals against several baselines in two disparate domains. These lossy methods