Výsledky vyhledávání

The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse

Autor: Huguet Cabot, P.-L., Dankers, V., Abadi, D., Fischer, A., Shutova, E., Cohn, T., He, Y., Liu, Y.

Publikováno v: Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020, 4479-4488
STARTPAGE=4479;ENDPAGE=4488;TITLE=Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020
EMNLP (Findings)
Findings of the Association for Computational Linguistics: EMNLP 2020

There has been an increased interest in modelling political discourse within the natural language processing (NLP) community, in tasks such as political bias and misinformation detection, among others. Metaphor-rich and emotion-eliciting communicatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01d62ef52132522518afd0833174a609
https://dare.uva.nl/personal/pure/en/publications/the-pragmatics-behind-politics-modelling-metaphor-framing-and-emotion-in-political-discourse(0226fcef-c36e-4a4f-a94a-1c1d9c44b6b2).html

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Transcoding compositionally: using attention to find more generalizable solutions

Autor: Korrel, K., Hupkes, D., Dankers, V., Bruni, E., Linzen, T., Chrupała, G., Belinkov, Y.

Publikováno v: BlackboxNLP@ACL
The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy, 1-11
STARTPAGE=1;ENDPAGE=11;TITLE=The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019

While sequence-to-sequence models have shown remarkable generalization power across several natural language tasks, their construct of solutions are argued to be less compositional than human-like generalization. In this paper, we present seq2attn, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dfd3394d444cd6dd2e2371b1892f989

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Modelling the Generation and Retrieval of Word Associations with Word Embeddings: A Case Study for a Guesser Agent in the Location Taboo Game

Autor: Dankers, V., Bilgin, A., Fernández, R., Verheij, B., Wiering, M.

Publikováno v: BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands, 401-402
STARTPAGE=401;ENDPAGE=402;TITLE=BNAIC 2017: Benelux Conference on Artificial Intelligence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::1f57c7a8e695f0e0b90cc54c6c68422c
https://dare.uva.nl/personal/pure/en/publications/modelling-the-generation-and-retrieval-of-word-associations-with-word-embeddings(7a309a56-99dc-43fd-a6ae-55c647379d0d).html

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Modelling Word Associations with Word Embeddings for a Guesser Agent in the Taboo City Challenge Competition

Autor: Dankers, V., Bilgin, A., Fernández, R.

Publikováno v: Proceedings of the ESSENCE Taboo Challenge Competition: An IJCAI Workshop. Melbourne, 21 August 2017 : IJCAI-17, Melbourne, 8-16
STARTPAGE=8;ENDPAGE=16;TITLE=Proceedings of the ESSENCE Taboo Challenge Competition

In the Taboo City Challenge, artificial agents should guess the names of cities from simple textual hints and are evaluated with games played by humans. Thus, playing the games successfully requires mimicking associations that humans have with geogra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::bcd61011b8a9decc43ead93847eea616
https://dare.uva.nl/personal/pure/en/publications/modelling-word-associations-with-word-embeddings-for-a-guesser-agent-in-the-taboo-city-challenge-competition(aa10bc77-1451-4c04-aff2-e0d4f390be66).html

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Modelling Word Associations and Interactiveness for Describer Agents in Word-Guessing Games: A Case Study for the Location Taboo Game

Autor: Dankers, V., Bilgin, A., Fernández, R., Verheij, B., Wiering, M.

Publikováno v: BNAIC 2017: Benelux Conference on Artificial Intelligence: Preproceedings of the 29th Benelux Conference on Artificial Intelligence, November 8–9, 2017 in Groningen, The Netherlands, 408-409
STARTPAGE=408;ENDPAGE=409;TITLE=BNAIC 2017: Benelux Conference on Artificial Intelligence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::38b55414e5a5c105ba89deab273b07cd
https://dare.uva.nl/personal/pure/en/publications/modelling-word-associations-and-interactiveness-for-describer-agents-in-wordguessing-games(c1743052-211e-43bc-ba9c-ee0f8b5a9dca).html

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