Titlebook: Chinese Computational Linguistics; 19th China National Maosong Sun,Sujian Li,Gaoqi Rao Conference proceedings 2020 Springer Nature Switzer

craven

Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learningmore sophisticated network or effective learning paradigms on monolingual data, which often suffers from insufficient discriminative knowledge for classification. In this paper, we investigate to improve sentence classification by multilingual data augmentation and consensus learning. Comparing to p

不在灌木叢中

Attention-Based Graph Neural Network with Global Context Awareness for Document Understandingxtracting entities and relationships from plain texts, however, when it comes to document images, such demand becomes quite challenging since visual and layout information are also of great significance to help tackle this problem. In this work, we propose the attention-based graph neural network to

innovation

外面

Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approachesort forms of elastic words in Chinese, which is a key aspect of lexicalisation. Long and short forms is a highly frequent linguistic phenomenon in Chinese such as.. The choice of long and short form task aims to properly choose between long and short form for a given context to producing high-qualit

amyloid

Refining Data for Text Generations, while not all data records are important for text generation and inappropriate input may bring noise into the final output. To solve this problem, we propose a two-step approach which first selects and orders the important data records and then generates text from the noise-reduced data. Here we

畫布

Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generationth not only a consistent topic but also novel wordings. Although many approaches have been proposed and obvious progress has been made on this task, there is still a large room for improvement, especially for improving thematic consistency and wording diversity. To mitigate the gap between generated

Inelasticity

Nomadic

因無茶而冷淡

Aids209

A Practice of Tourism Knowledge Graph Construction Based on Heterogeneous InformationTourism-domain Knowledge Graph (TKG), which is helpful to manage tourism information and develop downstream applications such as tourism search engine, recommendation and Q & A. However, the existing TKG is deficient, and there are few open methods to promote the construction and widespread applicat