Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zuyi Bao"'
Publikováno v:
IEEE Access, Vol 6, Pp 70874-70883 (2018)
Neural network models are popularly used in Chinese word segmentation task. The capsule architecture is proposed recently which has solved some defects of convolutional neural network. In this paper, we first introduce the capsule architecture to Chi
Externí odkaz:
https://doaj.org/article/171719a6dc37469a8a8f8ea93e6a198f
This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7,063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources. Each sentence is cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3512ac852d9fdd757fe155f10902bb78
Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i.e., semantic entity), while the relations in-between are largely unexplored. In this paper, we adapt the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d900e13597a7053f28ad77a3a39e7d5e
http://arxiv.org/abs/2110.09915
http://arxiv.org/abs/2110.09915
Publikováno v:
EMNLP (Findings)
Chinese spelling check is a challenging task due to the characteristics of the Chinese language, such as the large character set, no word boundary, and short word length. On the one hand, most of the previous works only consider corrections with simi
Publikováno v:
EMNLP/IJCNLP (1)
Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching. Such requirements and assumptions are infeasible for most languages, especially for languages with large l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e29dfbbc9e83cef8ef3b612a26206662
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783319736174
NLPCC
NLPCC
There has a large scale annotated newswire data for Chinese word segmentation. However, some research proves that the performance of the segmenter has significant decrease when applying the model trained on the newswire to other domain, such as paten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::122c7d78b633fda2d92e1cd64f855d45
https://doi.org/10.1007/978-3-319-73618-1_35
https://doi.org/10.1007/978-3-319-73618-1_35
Publikováno v:
IALP
Readability of an article indicates its level in terms of reading comprehension in general. Readability assessment is a process that measures the reading level of a piece of text, which can help in finding reading materials suitable for readers. In t
Publikováno v:
IALP
The state-of-the-art Chinese word segmentation systems obtain high accuracy in domains like newswire but suffer a significant performance degradation when they are used in other domains such as patents and literature. In this paper, we propose a neur
Publikováno v:
IC-NIDC
Most work on knowledge base completion focuses on relations between entities, while entity types are also important knowledge. This paper addresses the problem of fine-grained entity typing for knowledge base completion. Context information plays a v