Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Jennifer Chu-Carroll"'
Autor:
Jesse Dunietz, David A. Ferrucci, Jennifer Chu-Carroll, Akash Bharadwaj, Owen Rambow, Gregory Burnham
Publikováno v:
ACL
Many tasks aim to measure machine reading comprehension (MRC), often focusing on question types presumed to be difficult. Rarely, however, do task designers start by considering what systems should in fact comprehend. In this paper we make two key co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c40213f7d113abefe0b77a2c9880b9d
http://arxiv.org/abs/2005.01525
http://arxiv.org/abs/2005.01525
Autor:
J. William Murdock, Siddharth Patwardhan, Aditya Kalyanpur, David A. Ferrucci, Sugato Bagchi, Jennifer Chu-Carroll, Erik T. Mueller, Michael A. Barborak, John M. Prager, Michael R. Glass, David W. Buchanan, Adam Lally
Publikováno v:
AI Magazine; Vol 38, No 2: Summer 2017; 59-76
We present WatsonPaths, a novel system that can answer scenario-based questions. These include medical questions that present a patient summary and ask for the most likely diagnosis or most appropriate treatment. WatsonPaths builds on the IBM Watson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4eccafa4889277f0964c0f39f269523
https://doi.org/10.1609/aimag.v38i2.2715
https://doi.org/10.1609/aimag.v38i2.2715
Autor:
Aditya Kalyanpur, Jennifer Chu-Carroll, Or Biran, Lori Moon, Nasrin Mostafazadeh, Lauren Berkowitz, David W. Buchanan
Publikováno v:
EMNLP (1)
When humans read or listen, they make implicit commonsense inferences that frame their understanding of what happened and why. As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::847e0a48556a646c32e4671cd4b38de2
Publikováno v:
Natural Language Engineering. 20:441-468
Typically, automatic Question Answering (QA) approaches use the question in its entirety in the search for potential answers. We argue that decomposing complex factoid questions into separate facts about their answers is beneficial to QA, since an an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940b079ad021d25600154882a0c7d303
https://doi.org/10.1017/s1351324913000326
https://doi.org/10.1017/s1351324913000326
Autor:
Jennifer Chu-Carroll, James Fan
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 25:872-877
Most existing Question Answering (QA) systems adopt a type-and-generate approach to candidate generation that relies on a pre-defined domain ontology. This paper describes a type independent search and candidate generation paradigm for QA that levera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45654eb45f115f8e5519cf714cae47f
https://doi.org/10.1609/aaai.v25i1.7968
https://doi.org/10.1609/aaai.v25i1.7968
Autor:
Jennifer Chu-Carroll, Sandra Carberry
Publikováno v:
International Journal of Human-Computer Studies. 53:969-1015
In a collaborative planning environment in which the agents are autonomous and heterogeneous, it is inevitable that discrepancies in the agents' beliefs result in conflicts during the planning process. In such cases, it is important that the agents e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0effa125cd942f572d7a42a1a503c9c7
https://doi.org/10.1006/ijhc.2000.0427
https://doi.org/10.1006/ijhc.2000.0427
Autor:
Wolfgang Reichl, Wu Chou, Bob Carpenter, Chin-Hui Lee, Jennifer Chu-Carroll, Qiru Zhou, Antoine Saad
Publikováno v:
Speech Communication. 31:309-320
Automated call routing is the process of associating a user's request with the desired destination. Although some of the call routing functions can often be accomplished though the use of a touch-tone menu in an interactive voice response system, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65074648f9409f2ec3318b80ad59ca1e
https://doi.org/10.1016/s0167-6393(99)00064-3
https://doi.org/10.1016/s0167-6393(99)00064-3
Publikováno v:
Computational Intelligence. 15:185-217
A natural language collaborative consultation system must take user preferences into account. A model of user preferences allows a system to appropriately evaluate alternatives using criteria of importance to the user. Additionally, decision research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e5b7b977a1f0064024a551d3e6eb7c4
https://doi.org/10.1111/0824-7935.00091
https://doi.org/10.1111/0824-7935.00091
Publikováno v:
User Modeling and User-Adapted Interaction. 8:215-254
In this paper, we argue for the need to distinguish between task initiative and dialogue initiative, and present an evidential model for tracking shifts in both types of initiatives in collaborative dialogue interactions. Our model predicts the task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dff5f0b4ebf388984a5e84119d11b38
https://doi.org/10.1023/a:1008205526147
https://doi.org/10.1023/a:1008205526147
Autor:
Jennifer Chu-Carroll, Branimir Boguraev, Siddharth Patwardhan, Apoorv Agarwal, Alessandro Moschitti
Publikováno v:
CIKM
State-of-the-art approaches to token labeling within text documents typically cast the problem either as a classification task, without using complex structural characteristics of the input, or as a sequential labeling task, carried out by a Conditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b10d38aa5c6508e3cc7186aad74af1
https://doi.org/10.1145/2396761.2398412
https://doi.org/10.1145/2396761.2398412