Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Junyi Jessy Li"'
Publikováno v:
Dialogue & Discourse. 14:1-33
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used in various high-stake applications in education and testing. However, little research has been put to understand and interpret the black-box nature of deep-learning-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30acbf4f608a2bcd807171c1b7e8199f
https://doi.org/10.5210/dad.2023.101
https://doi.org/10.5210/dad.2023.101
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Pretrained language models have been shown to be effective in many software-related generation tasks; however, they are not well-suited for editing tasks as they are not designed to reason about edits. To address this, we propose a novel pretraining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b6e018e8ae2501d3dd9f9373ef2e69c
https://doi.org/10.1145/3551349.3556955
https://doi.org/10.1145/3551349.3556955
Access to higher education is critical for minority populations and emergent bilingual students. However, the language used by higher education institutions to communicate with prospective students is often too complex; concretely, many institutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bfc7847cc6793b93e011d923980a9ce
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e00f4b79ecc5bd22d15dfcbaac713557
https://doi.org/10.18653/v1/2022.naacl-main.17
https://doi.org/10.18653/v1/2022.naacl-main.17
Publikováno v:
Proc Conf Assoc Comput Linguist Meet
Automated simplification models aim to make input texts more readable. Such methods have the potential to make complex information accessible to a wider audience, e.g., providing access to recent medical literature which might otherwise be impenetrab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c1f2a12668f268ef16f0dc25916f0b
Publikováno v:
AAAI
In computational linguistics, specificity quantifies how much detail is engaged in text. It is an important characteristic of speaker intention and language style, and is useful in NLP applications such as summarization and argumentation mining. Yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4a48c0f389437215c2579eb6a24877
https://doi.org/10.1609/aaai.v33i01.33016415
https://doi.org/10.1609/aaai.v33i01.33016415
Publikováno v:
ICSE (Companion Volume)
Naming conventions are an important concern in large verification projects using proof assistants, such as Coq. In particular, lemma names are used by proof engineers to effectively understand and modify Coq code. However, providing accurate and info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::831b3d8334775ea026727d298d1b5fcd
https://doi.org/10.1109/icse-companion52605.2021.00026
https://doi.org/10.1109/icse-companion52605.2021.00026
Publikováno v:
NAACL-HLT
Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that interpreters apply their own assumptions and beliefs when resolving thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2282c75fb2efdabf8f2ab1d797a09eb0
http://arxiv.org/abs/2104.04470
http://arxiv.org/abs/2104.04470
Publikováno v:
NAACL-HLT
Proc Conf
King's College London
Proc Conf
King's College London
We consider the problem of learning to simplify medical texts. This is important because most reliable, up-to-date information in biomedicine is dense with jargon and thus practically inaccessible to the lay audience. Furthermore, manual simplificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c14b3e4b1593c1964cb4504efcfdc1e
https://doi.org/10.18653/v1/2021.naacl-main.395
https://doi.org/10.18653/v1/2021.naacl-main.395