Zobrazeno 1 - 10
of 69
pro vyhledávání: '"J, Passonneau"'
Autor:
Rebecca J. Passonneau, Bob Carpenter
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 2 (2021)
Externí odkaz:
https://doaj.org/article/1483e7bec3a24b03b3fd820013bdef3a
Autor:
Rebecca J. Passonneau, Bob Carpenter
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 2 (2021)
Externí odkaz:
https://doaj.org/article/d73bb55453bb47ea86ab4bba889695de
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorial Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f85853d6a911e906d6d1c802c97ccd6
https://doi.org/10.18653/v1/2022.naacl-tutorials.6
https://doi.org/10.18653/v1/2022.naacl-tutorials.6
Autor:
Purushartha Singh, Rebecca J. Passonneau, Mohammad Wasih, Xuesong Cang, ChanMin Kim, Sadhana Puntambekar
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031116438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5970c31c3d997f8b25c7da4ebf04409a
https://doi.org/10.1007/978-3-031-11644-5_64
https://doi.org/10.1007/978-3-031-11644-5_64
This article demonstrates how experiential learning could be used to develop argumentative essay writing skills in STEM students. Written feedback, when delivered in a timely manner, is an effective way of advancing students’ understanding of the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cec25b426c8094eb4ee7493b6ee4a59
https://doi.org/10.36227/techrxiv.13726720
https://doi.org/10.36227/techrxiv.13726720
Publikováno v:
ACL/IJCNLP (1)
Atomic clauses are fundamental text units for understanding complex sentences. Identifying the atomic sentences within complex sentences is important for applications such as summarization, argument mining, discourse analysis, discourse parsing, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c61b87947f5d6478fe90be3a27eb042e
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea38cb48abd68f6e53456fe5b366185d
https://doi.org/10.18653/v1/2021.emnlp-main.487
https://doi.org/10.18653/v1/2021.emnlp-main.487
Autor:
Yanjun Gao, Rebecca J. Passonneau
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
Source-based writing is an important academic skill in higher education, as it helps instructors evaluate students’ understanding of subject matter. To assess the potential for supporting instructors’ grading, we design an automated assessment to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed26f99532d6b70dff2345fec14fa449
https://doi.org/10.1007/978-3-030-78270-2_82
https://doi.org/10.1007/978-3-030-78270-2_82
Publikováno v:
Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15).
Semantic representation that supports the choice of an appropriate connective between pairs of clauses inherently addresses discourse coherence, which is important for tasks such as narrative understanding, argumentation, and discourse parsing. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fe45f4c0cf7b1a81d3d4269f5220fe1
https://doi.org/10.18653/v1/11.textgraphs-1.6
https://doi.org/10.18653/v1/11.textgraphs-1.6
Publikováno v:
Computer Speech & Language. 48:80-102
This paper identifies and models a phenomenon observed across low-resource languages in keyword search results from speech retrieval systems where the speech recognition has high error rate, due to very limited training data. High confidence correct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab1e015b9673217757efe244a5c9fc5
https://doi.org/10.1016/j.csl.2017.10.005
https://doi.org/10.1016/j.csl.2017.10.005