Výsledky vyhledávání

What is the role of the next generation of cognitive robotics?

Autor: Shimoda S., Jamone L., Ognibene D., Nagai T., Sciutti A., Costa-Garcia A., Oseki Y., Taniguchi T.

Publikováno v: Advanced Robotics. 36:3-16

Social demand for robots to be our partners in daily life has been rapidly increasing. Cognitive robotics should play a major role in making robots our partners. To discuss the role of cognitive robotics, we organized the round table in December 2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26773912026ca6488010ea117879c489
https://doi.org/10.1080/01691864.2021.2011780

Zobrazit plný text záznamu

Modelling the emergence of vocal grooming

Autor: Kouwenhoven, T., Towns, R.J., Verhoef, T., Ravignani, A., Asano, R., Valente, D., Ferreti, F., Hartmann, S., Hayashi, M., Jadoul, Y., Martins, M., Oseki, Y., Rodrigues, E.D., Vasileva, O., Wacewicz, S.

Publikováno v: Joint Conference on Language Evolution, 434-436. Nijmegen: Max Planck Institute for Psycholinguistics
STARTPAGE=434;ENDPAGE=436;TITLE=Joint Conference on Language Evolution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::003ff1474e439eb5e7ad2312c2759b42
https://hdl.handle.net/1887/3494162

Zobrazit plný text záznamu

Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi- and Cross-Lingual Prediction of Human Reading Behavior

Autor: Takmaz, E., Chersoni, E., Hollenstein, N., Jacobs, C., Oseki, Y., Prévot, L., Santus, E.

Publikováno v: Workshop on Cognitive Modeling and Computational Linguistics: CMCL 2022 : proceedings of the workshop : May 26, 2022, 136-144
STARTPAGE=136;ENDPAGE=144;TITLE=Workshop on Cognitive Modeling and Computational Linguistics

In this paper, we present the details of our approaches that attained the second place in the shared task of the ACL 2022 Cognitive Modeling and Computational Linguistics Workshop. The shared task is focused on multi- and cross-lingual prediction of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b2ba41f4fad521a8aefe4f59515c7a
https://aclanthology.org/2022.cmcl-1.16.mp4

Zobrazit plný text záznamu

Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP

Autor: Takmaz, E., Pezzelle, S., Fernández, R., Chersoni, E., Hollenstein, N., Jacobs, C., Oseki, Y., Prévot, L., Santus, E.

Publikováno v: Workshop on Cognitive Modeling and Computational Linguistics: CMCL 2022 : proceedings of the workshop : May 26, 2022, 36-42
STARTPAGE=36;ENDPAGE=42;TITLE=Workshop on Cognitive Modeling and Computational Linguistics

In this work, we use a transformer-based pre-trained multimodal model, CLIP, to shed light on the mechanisms employed by human speakers when referring to visual entities. In particular, we use CLIP to quantify the degree of descriptiveness (how well

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::085dd3645b64e910ffec6169d15f51cd
https://dare.uva.nl/personal/pure/en/publications/less-descriptive-yet-discriminative-quantifying-the-properties-of-multimodal-referring-utterances-via-clip(60c3bc42-b3b0-4dcf-af49-5fb65967bdb9).html

Zobrazit plný text záznamu

Evaluating Word Embeddings for Language Acquisition

Autor: Alhama, R.G., Rowland, C.F., Kidd, E., Chersoni, E., Jacobs, C., Oseki, Y., Prévot, L., Santus, E.

Publikováno v: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 38-42
STARTPAGE=38;ENDPAGE=42;TITLE=Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Chersoni, E.; Jacobs, C.; Oseki, Y. (ed.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 38-42. Stroudsburg, PA : Association for Computational Linguistics (ACL)
STARTPAGE=38;ENDPAGE=42;TITLE=Chersoni, E.; Jacobs, C.; Oseki, Y. (ed.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Chersoni, E.; Jacobs, C.; Oseki, Y. (ed.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pp. 38-42

Item does not contain fulltext Continuous vector word representations (or word embeddings) have shown success in capturing semantic relations between words, as evidenced by evaluation against behavioral data of adult performance on semantic tasks (Pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9669afdba49abcbc124977f2d1c2c558
https://doi.org/10.18653/v1/2020.cmcl-1.4

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání