Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Elisavet Palogiannidi"'
Publikováno v:
ICASSP
Spoken Language Understanding (SLU) is the problem of extracting the meaning from speech utterances. It is typically addressed as a two-step problem, where an Automatic Speech Recognition (ASR) model is employed to convert speech into text, followed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::825739ad859d05b9203ed6a34cf6538d
http://arxiv.org/abs/1910.10599
http://arxiv.org/abs/1910.10599
Autor:
Shrikanth S. Narayanan, Haris Papageorgiou, Elias Iosif, Aris Fergadis, Nikolaos Malandrakis, Alexandros Potamianos, Athanasia Kolovou, Filippos Kokkinos, Elisavet Palogiannidi, Pinelopi Papalampidi
Publikováno v:
SemEval@ACL
In this paper, we describe our submission to SemEval2017 Task 4: Sentiment Analysis in Twitter. Specifically the proposed system participated both to tweet polarity classification (two-, three- and five class) and tweet quantification (two and five-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd9ede8884ce04a3a3a65f14e55a340
https://doi.org/10.18653/v1/s17-2112
https://doi.org/10.18653/v1/s17-2112
Autor:
Gabriel Skantze, Spiros Georgiladakis, Elisavet Palogiannidi, Raveesh Meena, José Lopes, Elias Iosif, Arodami Chorianopoulou, Alexandros Potamianos, Georgia Athanasopoulou
Publikováno v:
INTERSPEECH
A major challenge in Spoken Dialogue Systems (SDS) is the detection of problematic communication (hotspots), as well as the classification of these hotspots into different types (root cause analysi ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21ea03e78139c31882c8b2071ac6c4c
https://doi.org/10.21437/interspeech.2016-1273
https://doi.org/10.21437/interspeech.2016-1273
Autor:
Shrikanth S. Narayanan, Athanasia Kolovou, Alexandros Potamianos, Elisavet Palogiannidi, Fenia Christopoulou, Elias Iosif, Filippos Kokkinos, Haris Papageorgiou, Nikolaos Malandrakis
Publikováno v:
SemEval@NAACL-HLT
We describe our submission to SemEval2016 Task 4: Sentiment Analysis in Twitter. The proposed system ranked first for the subtask B. Our system comprises of multiple independent models such as neural networks, semantic-affective models and topic mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a458422d02d71c474123b6a4204ddea7
https://doi.org/10.18653/v1/s16-1023
https://doi.org/10.18653/v1/s16-1023
Publikováno v:
WASSA@NAACL-HLT
Motivated by recent advances in the area of Compo-sitional Distributional Semantic Models (CDSMs), we propose a compositional approach for estimating continuous affective ratings for adjective-noun (AN) and noun-noun (NN) pairs. The ratings are compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45ace344a0103ac819a8fa4a73dcb40
https://doi.org/10.18653/v1/w16-0424
https://doi.org/10.18653/v1/w16-0424
Publikováno v:
ICASSP
We design and evaluate various crowdsourcing tasks for eliciting spoken dialogue data. Task design is based on an array of parameters that quantify the basic characteristics of the elicitation questions, e.g., how open-ended is a question. The crowds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa680fb6027c9e44f3507e983315aec
https://doi.org/10.1109/icassp.2014.6854193
https://doi.org/10.1109/icassp.2014.6854193
Autor:
Spiros Georgiladakis, Alexandros Potamianos, Elias Iosif, Katerina Louka, Elisavet Palogiannidi, Georgia Athanasopoulou, Ioannis Klasinas
Summarization: We investigate algorithms and tools for the semi-automatic authoring of grammars for spoken dialogue systems (SDS) proposing a framework that spans from corpora creation to grammar induction algorithms. A realistic human-in-the-loop ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6f5b8fbf55f1231a81f10d5a60cd96
http://purl.tuc.gr/dl/dias/184E3D0D-4DCB-48FA-BD04-F7F06DFA4ACA
http://purl.tuc.gr/dl/dias/184E3D0D-4DCB-48FA-BD04-F7F06DFA4ACA
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
We propose and evaluate the use of an affective-semantic model to expand the affective lexica of German, Greek, English, Spanish and Portuguese. Motivated by the assumption that semantic similarity implies affective similarity, we use word level sema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9407be1214a2f7bd1d45613f60c12d60
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959139555&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959139555&partnerID=MN8TOARS