Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Helena Ahonen-Myka"'
Publikováno v:
Information Retrieval
Topic Detection and Tracking (TDT) is a research initiative that aims at techniques to organize news documents in terms of news events. We propose a method that incorporates simple semantics into TDT by splitting the term space into groups of terms t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f2cfe9039d5a661e0f46f37ee28bda9
http://europepmc.org/articles/PMC7088333
http://europepmc.org/articles/PMC7088333
Publikováno v:
Natural Language Engineering
Natural Language Engineering, Cambridge University Press (CUP), 2010, 16 (4), pp.Pages 439-467. ⟨10.1017/S135132491000015X⟩
Natural Language Engineering, Cambridge University Press (CUP), 2010, 16 (4), pp.Pages 439-467. ⟨10.1017/S135132491000015X⟩
Thesauri, which list the most salient semantic relations between words, have mostly been compiled manually. Therefore, the inclusion of an entry depends on the subjective decision of the lexicographer. As a consequence, those resources are usually in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa6c7329ae04226e10f71ea90f12a97
https://hal.archives-ouvertes.fr/hal-01067880
https://hal.archives-ouvertes.fr/hal-01067880
Autor:
Helena Ahonen-Myka, Antoine Doucet
Publikováno v:
Language Resources and Evaluation
Language Resources and Evaluation, Springer Verlag, 2010, 44 (1-2), pp 159-180. ⟨10.1007/s10579-009-9102-3⟩
Language Resources and Evaluation, Springer Verlag, 2010, 44 (1-2), pp 159-180. ⟨10.1007/s10579-009-9102-3⟩
International audience; In this paper, we address the problem of the exploitation of text phrases in a multilingual context. We propose a technique to benefit from multi-word units in adhoc document retrieval, whatever the language of the document co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a226459071124d9e37942810c26f93
https://hal.archives-ouvertes.fr/hal-01067894/file/RIACL-DOUCET-2010-1.pdf
https://hal.archives-ouvertes.fr/hal-01067894/file/RIACL-DOUCET-2010-1.pdf
Autor:
M. Meri, Jussi Olavi Piitulainen, M. Keijola, Petri Mannonen, L. Seitsonen, S. Viitanen, Jyrki Niemi, Helena Ahonen-Myka, S. Nyrkko, Lauri Carlson, J. Juvonen
Publikováno v:
HICSS
Nyrkkö, S, Carlson, L, Keijola, M, Ahonen-Myka, H, Niemi, J, Piitulainen, J, Viitanen, S, Meri, M, Seitsonen, L, Mannonen, P & Juvonen, J 2007, Ontology-based knowledge in interactive maintenance guide . in Proceedings of the 40th Annual Hawaii International Conference on System Sciences, HICSS 2007 . IEEE Institute of Electrical and Electronic Engineers, 40th Annual Hawaii International Conference on System Sciences, HICSS 2007, Waikoloa, HI, United States, 3/01/07 . https://doi.org/10.1109/HICSS.2007.411
Nyrkkö, S, Carlson, L, Keijola, M, Ahonen-Myka, H, Niemi, J, Piitulainen, J, Viitanen, S, Meri, M, Seitsonen, L, Mannonen, P & Juvonen, J 2007, Ontology-based knowledge in interactive maintenance guide . in Proceedings of the 40th Annual Hawaii International Conference on System Sciences, HICSS 2007 . IEEE Institute of Electrical and Electronic Engineers, 40th Annual Hawaii International Conference on System Sciences, HICSS 2007, Waikoloa, HI, United States, 3/01/07 . https://doi.org/10.1109/HICSS.2007.411
This paper describes 4M, a language technology research project where a dialogue system is applied on a mobile platform in a maintenance job scenario. The human-machine interface uses speech synthesis and recognition, assisted with a hypertext displa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c0ece42ce39e0a437cea232909e8253
https://doi.org/10.1109/hicss.2007.411
https://doi.org/10.1109/hicss.2007.411
Autor:
Helena Ahonen-Myka
Publikováno v:
CIKM
University of Helsinki
University of Helsinki
We present an efficient algorithm for finding all maximal frequent word sequences in a set of sentences. A word sequence s is considered frequent, if all its words occur in at least σ sentences and the words occur in each of these sentences in the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65832e68d0c84f807cfc67bb69d1b342
https://doi.org/10.1145/1099554.1099614
https://doi.org/10.1145/1099554.1099614
Autor:
Helena Ahonen-Myka, Antoine Doucet
Publikováno v:
Inquiries into Words, Constraints and Contexts, Festschrift in the Honour of Kimmo Koskenniemi
Inquiries into Words, Constraints and Contexts, Festschrift in the Honour of Kimmo Koskenniemi, CSLI Publications, Center for the Study of Language and Information, University of Stanford, pp.194-203, 2005
University of Helsinki
Inquiries into Words, Constraints and Contexts, Festschrift in the Honour of Kimmo Koskenniemi, CSLI Publications, Center for the Study of Language and Information, University of Stanford, pp.194-203, 2005
University of Helsinki
@inbook{OL-DOUCET-2005, author = {Ahonen-Myka, H. and Doucet, A.}, chapter = {Data Mining Meets Collocations Discovery}, title = {Inquiries into Words, Constraints and Contexts, Festschrift in the Honour of Kimmo Koskenniemi}, publisher = {CSLI Publi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::37f9d20c56e1c0b33908ff6c1b5d2fc3
https://hal.archives-ouvertes.fr/hal-00324775
https://hal.archives-ouvertes.fr/hal-00324775
Autor:
Antoine Doucet, Helena Ahonen-Myka
Publikováno v:
University of Helsinki
ACM SIGIR 2005, ELECTRA Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-world Applications-Beyond Bag of Words
ACM SIGIR 2005, ELECTRA Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-world Applications-Beyond Bag of Words, 2005, Brazil. pp.33--40
ACM SIGIR 2005, ELECTRA Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-world Applications-Beyond Bag of Words
ACM SIGIR 2005, ELECTRA Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-world Applications-Beyond Bag of Words, 2005, Brazil. pp.33--40
@inproceedings{AI-DOUCET-2005, author = {Doucet, A. and Ahonen-Myka, H.}, title = {A Method to Calculate Probability and Expected Document Frequency of Discontinued Word Sequences}, booktitle = {ACM SIGIR 2005, ELECTRA Workshop on Methodologies and E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::74dba24b8639c704bcd9895b97aca249
https://hal.archives-ouvertes.fr/hal-00324781
https://hal.archives-ouvertes.fr/hal-00324781
Autor:
Helena Ahonen-Myka, Antoine Doucet
Publikováno v:
42nd annual meeting of the Association for Computational Linguistics (ACL-2004), Workshop on Multiword Expressions: Integrating Processing
42nd annual meeting of the Association for Computational Linguistics (ACL-2004), Workshop on Multiword Expressions: Integrating Processing, 2004, Spain. pp.88-95
42nd annual meeting of the Association for Computational Linguistics (ACL-2004), Workshop on Multiword Expressions: Integrating Processing, 2004, Spain. pp.88-95
The growing amount of textual information available electronically has increased the need for high performance retrieval. The use of phrases was long seen as a natural way to improve retrieval performance over the common document models that ignore t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91362ec81f38a40e90614ac5c3e7913b
https://hal.archives-ouvertes.fr/hal-00324779
https://hal.archives-ouvertes.fr/hal-00324779
Autor:
Helena Ahonen-Myka, Juha Makkonen
Publikováno v:
Research and Advanced Technology for Digital Libraries ISBN: 9783540407263
ECDL
ECDL
The harnessing of time-related information from text for the use of information retrieval requires a leap from the surface forms of the expressions to a formalized time-axis. Often the expressions are used to form chronological sequences of events. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e2a5c989b03acc9b2b80fe11751cdf
https://doi.org/10.1007/978-3-540-45175-4_36
https://doi.org/10.1007/978-3-540-45175-4_36
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540012740
ECIR
ECIR
Topic Detection and Tracking is an event-based information organization task where online news streams are monitored in order to spot new unreported events and link documents with previously detected events. The detection has proven to perform rather
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4bc88dd1b704e8168b9f509522e01b2
https://doi.org/10.1007/3-540-36618-0_18
https://doi.org/10.1007/3-540-36618-0_18