Results 21 to 30 of about 44,658,676 (284)
A Large-Scale Chinese Short-Text Conversation Dataset [PDF]
, 2020 Accepted by NLPCC 2020 (Best Student Paper)
Yida Wang 0009 +6 more
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Detection Model for Word-Level Text Error Combining Multi-Channel CNN and BiGRU [PDF]
Jisuanji gongcheng, 2022 Text proofreading is a critical component of Natural Language Processing(NLP).Deep learning technology is widely used in Chinese text proofreading because of its excellent feature extraction and learning ability.This study presents a model for word-level
GUO Kexiang, WANG Hengjun, BAI Zhixu
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Neural Graph Matching Networks for Chinese Short Text Matching [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Chinese short text matching usually employs word sequences rather than character sequences to get better performance. However, Chinese word segmentation can be erroneous, ambiguous or inconsistent, which consequently hurts the final matching performance.
Lu Chen 0002 +6 more
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Efficient Long-Text Understanding with Short-Text Models [PDF]
, 2022 Transformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific articles and long documents, due to their quadratic complexity. While a myriad of
Berant, Jonathan +5 more
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LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
Transactions of the Association for Computational Linguistics, 2022 Standard multi-task benchmarks are essential for developing pretraining models that can generalize to various downstream tasks. Existing benchmarks for natural language processing (NLP) usually focus only on understanding or generating short texts ...
Jian Guan +6 more
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Research on sentiment classification of Chinese short text
Journal of Physics: Conference Series, 2020 Abstract Sentiment classification can be widely used in various fields because of the value it has gained, and has received extensive attention in recent years. No matter the traditional methods based on language rules, machine statistical learning, or the current popular deep learning have achieved great success in this respect, but up ...
Zhichao Zhu, Zui Zhu, Wenjun Zhu
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Chinese Named Entity Recognition Based on Dilated Gated Convolution Feature Fusion [PDF]
Jisuanji gongcheng, 2023 In the task of Chinese Named Entity Recognition(NER), the long short-term memory network model with cyclic structure can solve the problem of long-distance dependence by capturing temporal features, but its feature capture method is singular and the ...
Changpei YANG, Liefa LIAO
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Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network
IEEE Access, 2020 Entity disambiguation refers to the accurate inference of the real mention of an entity with the same name according to the context. Most existing studies focused on long texts, for short texts, the performance has been unsatisfactory due to sparsity. In
Liting Jiang +4 more
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A Long-Text Classification Method of Chinese News Based on BERT and CNN
IEEE Access, 2022 Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years.
Xinying Chen, Peimin Cong, Shuo Lv
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Automatic Summarization Model Combining BERT Word Embedding Representation and Topic Information Enhancement [PDF]
Jisuanji kexue, 2022 Automatic text summarization can help people to filter and identify information quickly,grasp the key content of news,and alleviate the problem of information overload.The mainstream abstractive summarization model is mainly based on the encoder-decoder ...
GUO Yu-xin, CHEN Xiu-hong
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