Výsledky vyhledávání - "Denys Katerenchuk"

Understanding Actors and Evaluating Personae with Gaussian Embeddings

Autor: Hannah Kim, Jun Huan, Haesun Park, Denys Katerenchuk, Boyang Li, Daniel Billet

Publikováno v: AAAI
Scopus-Elsevier

Understanding narrative content has become an increasingly popular topic. Nonetheless, research on identifying common types of narrative characters, or personae, is impeded by the lack of automatic and broad-coverage evaluation methods. We argue that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26178823a2f426665ec5b6547af4696f
https://doi.org/10.1609/aaai.v33i01.33016570

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'You Should Probably Read This': Hedge Detection in Text

Autor: Rivka Levitan, Denys Katerenchuk

Publikováno v: ICASSP

Humans express ideas, beliefs, and statements through language. The manner of expression can carry information indicating the author’s degree of confidence in their statement. Understanding the certainty level of a claim is crucial in areas such as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a1e14f2ba63629cd43dc6d1aeff5680a
https://doi.org/10.1109/icassp39728.2021.9414095

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Age Group Classification with Speech and Metadata Multimodality Fusion

Autor: Denys Katerenchuk

Publikováno v: EACL (2)

Children comprise a significant proportion of TV viewers and it is worthwhile to customize the experience for them. However, identifying who is a child in the audience can be a challenging task. Identifying gender and age from audio commands is a wel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cd65004490f17e44db5de9326552452
https://doi.org/10.18653/v1/e17-2030

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Hierarchy Prediction in Online Communities

Autor: Denys Katerenchuk, Andrew Rosenberg

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 30

With the development of the Internet, a big part of social interactions have moved online, and people have unconsciously brought their daily communicational habits to the web. Understanding these communications is important because it will lead to a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7609a1892c5d213972c4370c4f635521
https://doi.org/10.1609/aaai.v30i1.9951

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Improving named entity recognition with prosodic features

Autor: Andrew Rosenberg, Denys Katerenchuk

Publikováno v: INTERSPEECH

In natural language processing (NLP) the problem of named entity (NE) recognition in speech is well known, yet remains a challenge where performance is dependent on automatic speech recognition (ASR) system error rates. NEs are often foreign or out-o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dc9534025091d18cfe82fd8620e4128
https://doi.org/10.21437/interspeech.2014-71

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'was that your mother on the phone?': classifying interpersonal relationships between dialog participants with lexical and acoustic properties

Autor: David Guy Brizan, Denys Katerenchuk, Andrew Rosenberg

Publikováno v: INTERSPEECH
Scopus-Elsevier

Understanding interpersonal relationships provides important context in understanding spoken communication. In addition to increasing knowledge of the social indicators in spoken communication, the automatic recognition of interpersonal relationships

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74785aef64146dfe26240035641f5f3a
https://doi.org/10.21437/interspeech.2014-416

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