Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Adam L. Berger"'
Autor:
Adam L. Berger
Publikováno v:
Practical Applications. :pa.2022.pa519
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4000303ef74181c874988145e1823947
https://doi.org/10.3905/pa.2022.pa519
https://doi.org/10.3905/pa.2022.pa519
Autor:
John Lafferty, Adam L. Berger
Publikováno v:
SIGIR
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a statistical model of how a user might distill or "translate" a given do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33973c634290b93995fbeab2654b1097
https://doi.org/10.1145/3130348.3130371
https://doi.org/10.1145/3130348.3130371
Publikováno v:
Machine Learning. 34:177-210
This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based on a technique that incrementally builds an exponential model to extract features that are correlated with the presence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::887d9ee275f64f653342b54c447f9dbf
https://doi.org/10.1023/a:1007506220214
https://doi.org/10.1023/a:1007506220214
Autor:
Richard D. Romero, Adam L. Berger
Publikováno v:
Mobile Human-Computer Interaction-MobileHCI 2004 ISBN: 9783540230861
Mobile HCI
Mobile HCI
This paper introduces a method for automatically partitioning richly-formatted electronic documents. An automatic partitioning system has many potential uses, but we focus here on one: dividing web content into fragments small enough to be delivered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc4edcfce5b092297eb1875292d50afd
https://doi.org/10.1007/978-3-540-28637-0_43
https://doi.org/10.1007/978-3-540-28637-0_43
Autor:
Adam L. Berger, Greg Schohn
Publikováno v:
Mobile Human-Computer Interaction-MobileHCI 2004 ISBN: 9783540230861
Mobile HCI
Mobile HCI
This paper introduces a novel user interface designed to mitigate some of the usability problems in mobile web access. The interface consists of two side-by-side panels for representing a richly-formatted document (e.g. a web page). In one panel is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51a955a989ce015429b3d03663473b86
https://doi.org/10.1007/978-3-540-28637-0_65
https://doi.org/10.1007/978-3-540-28637-0_65
Autor:
Robert R. Kessler, Adam L. Berger
Publikováno v:
AAMAS
Most agent systems today are closed and static. That is, one builds agent systems in which the set of agents is specified ahead of time and ontologies and protocols are predefined. Today's Internet is open and dynamic. We describe a new approach to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f83d50be4ee98e068a7c6c42e1cc50a
https://doi.org/10.1145/860575.860733
https://doi.org/10.1145/860575.860733
Publikováno v:
ICASSP
This paper describes a lightweight method for the automatic insertion of intra-sentence punctuation into text. Despite the intuition that pauses in an acoustic stream are a positive indicator for some types of punctuation, this work will demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b97ed8a8bcc25663fd71783443b225
https://doi.org/10.1109/icassp.1998.675358
https://doi.org/10.1109/icassp.1998.675358
Autor:
Robert C. Miller, Adam L. Berger
Publikováno v:
ICASSP
Traditional approaches to language modelling have relied on a fixed corpus of text to inform the parameters of a probability distribution over word sequences. Increasing the corpus size often leads to better-performing language models, but no matter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2091ce2351e53d3bbc1fcdba38ed34d2
https://doi.org/10.1109/icassp.1998.675362
https://doi.org/10.1109/icassp.1998.675362
Autor:
Doug Beeferman, Adam L. Berger
Publikováno v:
KDD
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52b8e24c0df71037b715c61d895a26b0
https://doi.org/10.1145/347090.347176
https://doi.org/10.1145/347090.347176
Publikováno v:
SIGIR
This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The learning process consists of inspecting a collection of answered questions and char
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e5ac7e8e2f680c1963c46d285308bf6
https://doi.org/10.1145/345508.345576
https://doi.org/10.1145/345508.345576