Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tack, Anaïs"'
This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of generative language models to act as AI teachers, replying to a student in
Externí odkaz:
http://arxiv.org/abs/2306.06941
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Autor:
Tack, Anaïs, Piech, Chris
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are muc
Externí odkaz:
http://arxiv.org/abs/2205.07540
Autor:
Yimam, Seid Muhie, Biemann, Chris, Malmasi, Shervin, Paetzold, Gustavo H., Specia, Lucia, Štajner, Sanja, Tack, Anaïs, Zampieri, Marcos
We report the findings of the second Complex Word Identification (CWI) shared task organized as part of the BEA workshop co-located with NAACL-HLT'2018. The second CWI shared task featured multilingual and multi-genre datasets divided into four track
Externí odkaz:
http://arxiv.org/abs/1804.09132
Autor:
Tack, Anaïs
The goal of this doctoral research is to automatically predict difficult words in a text for non-native speakers. This prediction is crucial because good text comprehension is strongly determined by vocabulary. If a text contains too high a percentag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::330b574552d4a195268cc5ad74a60436
https://lirias.kuleuven.be/handle/123456789/676490
https://lirias.kuleuven.be/handle/123456789/676490
Autor:
Tack, Anaïs
The goal of this doctoral research is to automatically predict difficult words in a text for non-native speakers. This prediction is crucial because good text comprehension is strongly determined by vocabulary. If a text contains too high a percentag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::84b216ff8a39086271c46e33e7912314
https://hdl.handle.net/2078.1/248811
https://hdl.handle.net/2078.1/248811
Publikováno v:
Language Resources and Evaluation for Language Technologies (LREC)
Language Resources and Evaluation for Language Technologies (LREC), May 2020, Marseille, France
Language Resources and Evaluation for Language Technologies (LREC), May 2020, Marseille, France
International audience; In this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to read. The corpus is com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed7d3631141cdc03ebbac3cfaa5ebf7e
https://hal.archives-ouvertes.fr/hal-02503986/file/LREC_2020_ALECTOR_Corpus-final_10032020.pdf
https://hal.archives-ouvertes.fr/hal-02503986/file/LREC_2020_ALECTOR_Corpus-final_10032020.pdf
Publikováno v:
27th European Association of Computer-Assisted Language Learning (EUROCALL), CALL & Complexity
27th European Association of Computer-Assisted Language Learning (EUROCALL) CALL & Complexity, Aug 2019, Louvain la Neuve, Belgium
27th EUROCALL conference-CALL and complexity
27th EUROCALL conference-CALL and complexity, Aug 2019, Louvain-la-Neuve, Belgium
27th European Association of Computer-Assisted Language Learning (EUROCALL) CALL & Complexity, Aug 2019, Louvain la Neuve, Belgium
27th EUROCALL conference-CALL and complexity
27th EUROCALL conference-CALL and complexity, Aug 2019, Louvain-la-Neuve, Belgium
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4c2b38859d1f2624914d59192f6b2ca2
https://hal.archives-ouvertes.fr/hal-03286229
https://hal.archives-ouvertes.fr/hal-03286229
Autor:
Golden, Anne, Malmgren, Sven-Göran, Agebjörn, Anders, Bergh, Gunnar, Ohlander, Sölve, Bylin, Maria, Ekberg, Lena, Östman, Jan-Ola, Karlsson, Susanna, Lind Palicki, Lena, Kolu, Jaana, Kosunen, Riitta, Lahtinen, Sinikka, Toropainen, Outi, Leinonen, Therese, Lindgren, Josefin, Lindström, Jan, Wide, Camilla, Löfdahl, Maria, Tingsell, Sofia, Wenner, Lena, Malmberg, Anja, Sörlin, Marie, Melander Marttala, Ulla, Mattsson, Elisabet, Nilsson, Jenny, Norrby, Catrin, Nissilä, Niina, Pilke, Nina, Nord, Andreas, Palviainen, Åsa, Sopanen, Pauliina, Randahl, Ann-Christin, Rehnberg, Hanna Sofia, Sahlstein, Annmari, Sköldberg, Emma, Hannesdóttir, Anna Helga, Vaakanainen, Veijo, Valdeson, Fredrik, Volodina, Elena, Borin, Lars, Pilán, Ildikó, François, Thomas, Tack, Anaïs, Wengelin, Åsa, Bengtsson, Lisa, Torrance, Mark
Sedan 1963 har det vid olika universitet i Sverige och Finland regelbundet arrangerats sammankomster för svenskans beskrivning. Forskningsprojekt och forskningsresultat om svenska språket har presenterats och diskuterats. Den trettiofemte sammankom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1149::318da07f2aa5c73983f96f84a15c4da8
Publikováno v:
LREC 2016 proceedings
Language Resources and Evaluation Conference (LREC)
Language Resources and Evaluation Conference (LREC), May 2016, Portorož, Slovenia
Language Resources and Evaluation Conference (LREC)
Language Resources and Evaluation Conference (LREC), May 2016, Portorož, Slovenia
International audience; This study examines two possibilities of using the FLELex graded lexicon for the automated assessment of text complexity in French as a foreign language learning. From the lexical frequency distributions described in FLELex, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::75801cd2837c1df7dbe8527c97542921
https://hal.archives-ouvertes.fr/hal-02517616/file/lrec_2016_anais.pdf
https://hal.archives-ouvertes.fr/hal-02517616/file/lrec_2016_anais.pdf
Publikováno v:
Actes de la conférence conjointe JEP-TALN-RECITAL 2016
JEP-TALN-RECITAL 2016
JEP-TALN-RECITAL 2016, Jan 2016, Paris, France
JEP-TALN-RECITAL 2016
JEP-TALN-RECITAL 2016, Jan 2016, Paris, France
This study examines the use of supervised incremental machine learning techniques to automaticallypredict the lexical competence of French as a foreign language learners (FFL). The targeted learnersare native speakers of Dutch having attained the A2/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c5356734164b4dbf66b59d5c9a9fe82b
https://hal.science/hal-01631772/document
https://hal.science/hal-01631772/document