Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Anatole Gershman"'
Autor:
Anatole Gershman, Ricardo Ribeiro, David Martins de Matos, Jaime G. Carbonell, João Neto, Luís Marujo
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Event detection is a fundamental information extraction task, which has been explored largely in the context of question answering, topic detection and tracking, knowledge base population, news recommendation, and automatic summarization. In this art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f35b625a5d870e7c8ec72144d1ca6d69
https://doi.org/10.1007/s10115-016-0966-4
https://doi.org/10.1007/s10115-016-0966-4
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
While recent advances in computer vision have caused object recognition rates to spike, there is still much room for improvement. In this paper, we develop an algorithm to improve object recognition by integrating human-generated contextual informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9efb091b57c4a4d5fc703b37385f194c
https://doi.org/10.1609/aaai.v31i1.11187
https://doi.org/10.1609/aaai.v31i1.11187
Publikováno v:
ICASSP
Spoken language interfaces are being incorporated into various devices such as smart phones and TVs. However, dialogue systems may fail to respond correctly when users' request functionality is not supported by currently installed apps. This paper pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fbc4725d509a48cefdf0e9a90a3e2b2
https://doi.org/10.1109/icassp.2016.7472859
https://doi.org/10.1109/icassp.2016.7472859
Autor:
Anatole Gershman, Jaime G. Carbonell, Wang Ling, Luís Marujo, David Martins de Matos, João Neto, Ricardo Ribeiro
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
We explore an event detection framework to improve multi-document summarizationWe use distributed representations of text to address different lexical realizationsSummarization is based on the hierarchical combination of single-document summariesWe p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::751db882cfc0b3154f517b9bbc14516f
Leveraging Behavioral Patterns of Mobile Applications for Personalized Spoken Language Understanding
Publikováno v:
ICMI
Spoken language interfaces are appearing in various smart devices (e.g. smart-phones, smart-TV, in-car navigating systems) and serve as intelligent assistants (IAs). However, most of them do not consider individual users' behavioral profiles and cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11808bb76c0edacce653393301ab7a4c
https://doi.org/10.1145/2818346.2820781
https://doi.org/10.1145/2818346.2820781
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
Unsupervised discovery of synonymous phrases is useful in a variety of tasks ranging from text mining and search engines to semantic analysis and machine translation. This paper presents an unsupervised corpus-based conditional model: Near-Synonym Sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b489c25aeb8060675c95bd9aeb82b7
https://doi.org/10.1609/aaai.v29i1.9504
https://doi.org/10.1609/aaai.v29i1.9504
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319195803
NLDB
NLDB
Information extraction, and specifically event and relation extraction from text, is an important problem in the age of big data. Current solutions to these problems require large amounts of training data or extensive feature engineering to find doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456886e89a548d6a000b8ac68c4cd7d5
https://doi.org/10.1007/978-3-319-19581-0_23
https://doi.org/10.1007/978-3-319-19581-0_23
Autor:
David Martins de Matos, Anatole Gershman, João Paulo da Silva Neto, Luís Marujo, João Carvalho, Jaime G. Carbonell
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319113128
IEEE Conf. on Intelligent Systems (1)
IEEE Conf. on Intelligent Systems (1)
In this paper we present a method to improve the automatic detection of events in short sentences when in the presence of a large number of event classes. Contrary to standard classification techniques such as Support Vector Machines or Random Forest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c99c551c954528fc0967093cd952685
https://doi.org/10.1007/978-3-319-11313-5_72
https://doi.org/10.1007/978-3-319-11313-5_72
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding
Publikováno v:
ACL (1)
Spoken dialogue systems (SDS) typically require a predefined semantic ontology to train a spoken language understanding (SLU) module. In addition to the annotation cost, a key challenge for designing such an ontology is to define a coherent slot set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c3ab0d3dafb83ebdfbad1393eeffdf
https://doi.org/10.3115/v1/p15-1047
https://doi.org/10.3115/v1/p15-1047
Autor:
David Martins de Matos, Luís Marujo, João Paulo da Silva Neto, Alan W. Black, Jaime G. Carbonell, Chris Dyer, Isabel Trancoso, Anatole Gershman, Wang Ling
Publikováno v:
ACL (2)
CIÊNCIAVITAE
Scopus-Elsevier
CIÊNCIAVITAE
Scopus-Elsevier
In this paper, we build a corpus of tweets from Twitter annotated with keywords using crowdsourcing methods. We identify key differences between this domain and the work performed on other domains, such as news, which makes existing approaches for au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a66fe9418028cee5acff433f251accfc
https://doi.org/10.3115/v1/p15-2105
https://doi.org/10.3115/v1/p15-2105