Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yinggong Zhao"'
As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials. However, the focuses of various discriminative MRC tasks may be diverse enough: multi-choi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd0c1cdaf609b3f3d49441e43899438c
http://arxiv.org/abs/2203.14103
http://arxiv.org/abs/2203.14103
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3fa70a370d0050fd60e4af9ca5b7d1
https://doi.org/10.18653/v1/2021.findings-emnlp.202
https://doi.org/10.18653/v1/2021.findings-emnlp.202
Publikováno v:
CIKM
Predicting endings for narrative stories is a grand challenge for machine commonsense reasoning. The task requires ac- curate representation of the story semantics and structured logic knowledge. Pre-trained language models, such as BERT, made progre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d26e33de590eb421e843c29af070612
https://doi.org/10.1145/3340531.3417466
https://doi.org/10.1145/3340531.3417466
Publikováno v:
EMNLP (1)
Neural networks can achieve impressive performance on many natural language processing applications, but they typically need large labeled data for training and are not easily interpretable. On the other hand, symbolic rules such as regular expressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a3e09259a0ec4e5f8270e001ed00ff7
https://doi.org/10.18653/v1/2020.emnlp-main.258
https://doi.org/10.18653/v1/2020.emnlp-main.258
Publikováno v:
EMNLP (Findings)
Word embedding is an essential building block for deep learning methods for natural language processing. Although word embedding has been extensively studied over the years, the problem of how to effectively embed numerals, a special subset of words,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be06bd0999c7e4d23fcf47effdb160a7
https://doi.org/10.18653/v1/2020.findings-emnlp.235
https://doi.org/10.18653/v1/2020.findings-emnlp.235
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638191
ICONIP (4)
ICONIP (4)
Vocabulary knowledge is essential for both native and foreign language learning. Classifying words by difficulty helps students develop better in different stages of study and gives teachers the standard to adhere to when preparing tutorials. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08d21b8a2b29a8536cbe514652ada6ac
https://doi.org/10.1007/978-3-030-63820-7_72
https://doi.org/10.1007/978-3-030-63820-7_72
Publikováno v:
ACL
Recent proposed approaches have made promising progress in dialogue state tracking (DST). However, in multi-domain scenarios, ellipsis and reference are frequently adopted by users to express values that have been mentioned by slots from other domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a2c24ecf8da1f6501ab8b6410260e8
https://doi.org/10.18653/v1/2020.acl-main.5
https://doi.org/10.18653/v1/2020.acl-main.5
Publikováno v:
CIKM
Few-shot relation classification seeks to classify incoming query instances after meeting only few support instances. This ability is gained by training with large amount of in-domain annotated data. In this paper, we tackle an even harder problem by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e49f7954c5a5862035aa0996dda9ebdf
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 15:1-15
Neural network language models (LMs) are shown to be effective in improving the performance of statistical machine translation (SMT) systems. However, state-of-the-art neural network LMs usually use words before the current position as context and ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b5750c2ac9debd24c7779b03c79668
https://doi.org/10.1145/2816816
https://doi.org/10.1145/2816816
Publikováno v:
International Journal of Education and Management Engineering. 2:65-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f610b0753d5e84f38cde6082b1fb3e9f
https://doi.org/10.5815/ijeme.2012.08.11
https://doi.org/10.5815/ijeme.2012.08.11