Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ai Ti Aw"'
Publikováno v:
Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98ef9a71400ca2c6ca2ae5d8968bb0bf
https://doi.org/10.18653/v1/2022.bea-1.10
https://doi.org/10.18653/v1/2022.bea-1.10
Publikováno v:
NAACL-HLT (Industry Papers)
Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations. As real input noise is difficult to predict during training, robustness is a big issue for system deplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4149cb89d06d017ec27da8edc190e67
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d391ca19c53b49b1a63a5cb1ff7232
https://doi.org/10.18653/v1/2021.findings-emnlp.100
https://doi.org/10.18653/v1/2021.findings-emnlp.100
Publikováno v:
EMNLP (Findings)
As an essential component of task-oriented dialogue systems, Dialogue State Tracking (DST) takes charge of estimating user intentions and requests in dialogue contexts and extracting substantial goals (states) from user utterances to help the downstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38965567f16d21d0a1abf23e034bfab3
https://doi.org/10.18653/v1/2020.findings-emnlp.95
https://doi.org/10.18653/v1/2020.findings-emnlp.95
Publikováno v:
COLING
Reading comprehension (RC) on social media such as Twitter is a critical and challenging task due to its noisy, informal, but informative nature. Most existing RC models are developed on formal datasets such as news articles and Wikipedia documents,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d49bd64e7acbb29fc01526f6f215a3a
https://doi.org/10.18653/v1/2020.coling-main.242
https://doi.org/10.18653/v1/2020.coling-main.242
Publikováno v:
WAT@EMNLP-IJCNLP
Sentiment ambiguous lexicons refer to words where their polarity depends strongly on con- text. As such, when the context is absent, their translations or their embedded sentence ends up (incorrectly) being dependent on the training data. While neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91bbccdf5e5c67ef82f50d42bd0dfcd
https://doi.org/10.18653/v1/d19-5227
https://doi.org/10.18653/v1/d19-5227
Publikováno v:
EMNLP/IJCNLP (1)
While achieving great fluency, current machine translation (MT) techniques are bottle-necked by adequacy issues. To have a closer study of these issues and accelerate model development, we propose automatic detecting adequacy errors in MT hypothesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2520c6f6ced1f602bf651d0c70f138
https://doi.org/10.18653/v1/d19-1087
https://doi.org/10.18653/v1/d19-1087
Publikováno v:
IALP
Parallel corpus serves as a mandatory resource to develop machine-learning-based statistical translation engine. The size and coverage of parallel corpus available for training affects directly the translation accuracy of the engine. To have more tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7337ef8d916417f547a1652d4e71f154
https://doi.org/10.1109/ialp.2017.8300602
https://doi.org/10.1109/ialp.2017.8300602
Publikováno v:
ACL (System Demonstrations)
Interactive or Incremental Statistical Machine Translation (IMT) aims to provide a mechanism that allows the statistical models involved in the translation process to be incrementally updated and improved. The source of knowledge normally comes from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::956690d31dec1663c5a06f86bbd90495
https://doi.org/10.3115/v1/p14-5013
https://doi.org/10.3115/v1/p14-5013
Autor:
Thi Hoang Diem Le, Ai Ti Aw
Publikováno v:
IALP
Transliteration is the transformation of word in original language to another language based on its pronunciation. Back transliteration is the transformation of already transliterated word in another language back to its original form. This backward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e542ba79a0d58ae2ff59567ae3f5ee56
https://doi.org/10.1109/ialp.2011.44
https://doi.org/10.1109/ialp.2011.44