Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Amy Isard"'
Autor:
Amy Isard, Anna Wamprechtshammer, Elena Arestau, Jocelyn Aznar, Hanna Hedeland, Ilya Khait, Herbert Lange, Nicole Majka, Felix Rau
Publikováno v:
Working Papers in Corpus Linguistics and Digital Technologies: Analyses and Methodology ISBN: 9789633069103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d9b5ed8f67b9c61d282fce1faad6a46
https://doi.org/10.14232/wpcl.2022.8
https://doi.org/10.14232/wpcl.2022.8
Autor:
Amy Isard, Elena Arestau
Publikováno v:
Linköping Electronic Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa7940df5977bb1d12628cc85821e91b
https://doi.org/10.3384/ecp1896
https://doi.org/10.3384/ecp1896
Publikováno v:
Tallyn, E, Fried, H, Gianni, R, Isard, A & Speed, C 2018, The Ethnobot : Gathering Ethnographies in the Age of IoT . in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . https://doi.org/10.1145/3173574.3174178
CHI
CHI
Computational systems and objects are becoming increasingly closely integrated with our daily activities. Ubiquitous and pervasive computing first identified the emerging challenges of studying technology used on-the-move and in widely varied context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0b9fd35c5907b0983f1808983e2e41
https://hdl.handle.net/20.500.11820/2fbe0bbc-0a7b-42ce-a403-4c97e1e3ffaf
https://hdl.handle.net/20.500.11820/2fbe0bbc-0a7b-42ce-a403-4c97e1e3ffaf
Autor:
Jeremy Knox, Amy Isard
Publikováno v:
Isard, A & Knox, J 2016, Automatic Generation of Student Report Cards . in Proceedings of The 9th International Natural Language Generation conference . pp. 207-211, 9th International Natural Language Generation conference, Edinburgh, United Kingdom, 5/09/16 . https://doi.org/10.18653/v1/W16-6633
INLG
INLG
The Learning Analytics Report Card (LARC) is a pilot system which takes time-series data from a student’s course-related activity in a Virtual Learning Environment and generates automatic textual summaries in real time. Students are able to generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb8ee383f7279ce411e32836de8f44f1
https://hdl.handle.net/20.500.11820/7c573818-1fb4-4de1-b71f-b59feb6241d3
https://hdl.handle.net/20.500.11820/7c573818-1fb4-4de1-b71f-b59feb6241d3
Publikováno v:
IEEE Intelligent Systems. 18:40-45
The authors describe a system that generates descriptions of museum objects tailored to the user. The texts presented to adults, children, and experts differ in several ways, from the choice of words used to the complexity of the sentence forms. M-PI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cccbb9b609e5e03268910ea5e0a6615
https://doi.org/10.1109/mis.2003.1179192
https://doi.org/10.1109/mis.2003.1179192
Publikováno v:
RO-MAN
Keizer, S, Foster, M E, Gaschler, A, Giuliani, M, Isard, A & Lemon, O 2014, Handling uncertain input in multi-user human-robot interaction . in Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2014) . Institute of Electrical and Electronics Engineers (IEEE), pp. 312-317 . https://doi.org/10.1109/ROMAN.2014.6926271
Keizer, S, Foster, M E, Gaschler, A, Giuliani, M, Isard, A & Lemon, O 2014, Handling uncertain input in multi-user human-robot interaction . in Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2014) . Institute of Electrical and Electronics Engineers (IEEE), pp. 312-317 . https://doi.org/10.1109/ROMAN.2014.6926271
In this paper we present results from a user evaluation of a robot bartender system which handles state uncertainty derived from speech input by using belief tracking and generating appropriate clarification questions. We present a combination of sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c49ae0130c6d575756bbafcbe989f72
https://doi.org/10.1109/roman.2014.6926271
https://doi.org/10.1109/roman.2014.6926271
Publikováno v:
Speech Communication. 33:97-112
This paper describes the design and implementation of the MATE workbench, a program which provides support for the annotation of speech and text. It provides facilities for flexible display and editing of such annotations, and complex querying of a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e0f6bd1e9720fb01c76a689a41cdfda
https://doi.org/10.1016/s0167-6393(00)00071-6
https://doi.org/10.1016/s0167-6393(00)00071-6
Autor:
Maria Pateraki, Manuel Giuliani, Markos Sigalas, Amy Isard, Mary Ellen Foster, Ronald P. A. Petrick, Andre Gaschler
Publikováno v:
ICMI
We address the question of whether service robots that interact with humans in public spaces must express socially appropriate behaviour. To do so, we implemented a robot bartender which is able to take drink orders from humans and serve drinks to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80788a7300a14efcf343596890a14ee7
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783642388231
NLDB
NLDB
Dialogue systems are often regarded as being tedious and inflexible. We believe that one reason is rigid and inadaptable system utterances. A good dialogue system should automatically choose a formulation that reflects the user’s expectations. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79946c0bae1c9c12634e25a65726208d
https://doi.org/10.1007/978-3-642-38824-8_4
https://doi.org/10.1007/978-3-642-38824-8_4
Publikováno v:
Language, Cognition and Neuroscience
The standard referring-expression generation task involves creating stand-alone descriptions intended solely to distinguish a target object from its context. However, when an artificial system refers to objects in the course of interactive, embodied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::729f401e2d65f8008c1dc964e79f2d2c