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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ... Gui, Tao; Wang, Xiao; Zhang, Qi. - : arXiv, 2021 BASE Show details 2 K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters ... Wang, Ruize; Tang, Duyu; Duan, Nan. - : arXiv, 2020 BASE Show details 3 FLAT: Chinese NER Using Flat-Lattice Transformer ... Li, Xiaonan; Yan, Hang; Qiu, Xipeng. - : arXiv, 2020 BASE Show details 4 GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ... Huang, Luyao; Sun, Chi; Qiu, Xipeng. - : arXiv, 2019 BASE Show details 5 Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ... Peng, Minlong; Xing, Xiaoyu; Zhang, Qi. - : arXiv, 2019 BASE Show details 6 Simplify the Usage of Lexicon in Chinese NER ... Ma, Ruotian; Peng, Minlong; Zhang, Qi; Huang, Xuanjing. - : arXiv, 2019 Abstract: Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2018) has achieved new benchmark results on several public Chinese NER datasets. However, Lattice-LSTM has a complex model architecture. This limits its application in many industrial areas where real-time NER responses are needed. In this work, we propose a simple but effective method for incorporating the word lexicon into the character representations. This method avoids designing a complicated sequence modeling architecture, and for any neural NER model, it requires only subtle adjustment of the character representation layer to introduce the lexicon information. Experimental studies on four benchmark Chinese NER datasets show that our method achieves an inference speed up to 6.15 times faster than those of state-ofthe-art methods, along with a better performance. The experimental results also show that the proposed method can be ... : ACL 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1908.05969 https://arxiv.org/abs/1908.05969 BASE Hide details 7 Chinese Named Entity Recognition Augmented with Lexicon Memory ... Zhou, Yi; Zheng, Xiaoqing; Huang, Xuanjing. - : arXiv, 2019 BASE Show details 8 Adversarial Multi-Criteria Learning for Chinese Word Segmentation ... Chen, Xinchi; Shi, Zhan; Qiu, Xipeng. - : arXiv, 2017 BASE Show details

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