Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Truecasing"'
Publikováno v:
AAAI
Although modern named entity recognition (NER) systems show impressive performance on standard datasets, they perform poorly when presented with noisy data. In particular, capitalization is a strong signal for entities in many languages, and even sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe7ff4f824a5fb4a4b37a08bad1e42e
https://doi.org/10.1609/aaai.v34i05.6368
https://doi.org/10.1609/aaai.v34i05.6368
Autor:
Ai-Te Kuo, Hanan Samet
Publikováno v:
SIGSPATIAL/GIS
Music is present in numerous forms in our daily lives and is deemed essential to it. Multiple applications have been proposed to let users check into a location and tag that check-in with the song to which they are listening. This is time-consuming a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15398a74ae429548a1efac3e0f2fa6e0
https://doi.org/10.1145/3474717.3484211
https://doi.org/10.1145/3474717.3484211
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501457
IPMU (1)
Information Processing and Management of Uncertainty in Knowledge-Based Systems
IPMU (1)
Information Processing and Management of Uncertainty in Knowledge-Based Systems
This paper describes an approach for automatic capitalization of text without case information, such as spoken transcripts of video subtitles, produced by automatic speech recognition systems. Our approach is based on pre-trained contextualized word
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::685462cf9720a1cc10df2cd9e9fa32d0
https://doi.org/10.1007/978-3-030-50146-4_52
https://doi.org/10.1007/978-3-030-50146-4_52
Autor:
Anwesha Das, Thoudam Doren Singh
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789813340831
The development strategies of English-to-Bengali neural machine translation (NMT) systems are reported in this paper. Several attention mechanisms on the development of English-to-Bengali NMT system are reported transparently. Further, the translatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bd3b8470fb5045295a07afd79784ce
https://doi.org/10.1007/978-981-33-4084-8_6
https://doi.org/10.1007/978-981-33-4084-8_6
Akademický článek
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Publikováno v:
ICSC
The dearth of clean textual data often acts as a bottleneck in several natural language processing applications. The data available often lacks proper case (uppercase or lowercase) information. This often comes up when text is obtained from social me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e3519eff0926aee93f88bc0af8493d
https://doi.org/10.1109/icsc.2020.00035
https://doi.org/10.1109/icsc.2020.00035
Automatic speech recognition (ASR) systems in the medical domain that focus on transcribing clinical dictations and doctor-patient conversations often pose many challenges due to the complexity of the domain. ASR output typically undergoes automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea128562240c1541194aa056dfca072a
Publikováno v:
W-NUT@EMNLP
True-casing, the task of restoring proper case to (generally) lower case input, is important in downstream tasks and for screen display. In this paper, we investigate truecasing as an in- trinsic task and present several experiments on noisy user que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a00366b210d6299df49b4f24370eda2
https://doi.org/10.18653/v1/2020.wnut-1.19
https://doi.org/10.18653/v1/2020.wnut-1.19
Conference
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Kniha
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