• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Teng, Zhiyang (5)
    • Zhang, Yue (4)
    • ., Boxing (1)
    • Bao, Guangsheng (1)
    • Guo, Zhijiang (1)
    • Lu, Wei (1)
    • Luo, Weihua (1)
    • The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (1)
    • Yang, Jie (1)
    • Zhang, Meishan (1)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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 – 5 of 5 1 G-Transformer for Document-Level Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Boxing; Bao, Guangsheng. - : Underline Science Inc., 2021 BASE Show details 2 End-to-End Chinese Parsing Exploiting Lexicons ... Zhang, Yuan; Teng, Zhiyang; Zhang, Yue. - : arXiv, 2020 Abstract: Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules. In this paper, we propose an end-to-end Chinese parsing model based on character inputs which jointly learns to output word segmentation, part-of-speech tags and dependency structures. In particular, our parsing model relies on word-char graph attention networks, which can enrich the character inputs with external word knowledge. Experiments on three Chinese parsing benchmark datasets show the effectiveness of our models, achieving the state-of-the-art results on end-to-end Chinese parsing. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2012.04395 https://arxiv.org/abs/2012.04395 BASE Hide details 3 Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning Guo, Zhijiang; Zhang, Yan; Teng, Zhiyang... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 297-312 (2019) (2019) BASE Show details 4 Combining Discrete and Neural Features for Sequence Labeling ... Yang, Jie; Teng, Zhiyang; Zhang, Meishan. - : arXiv, 2017 BASE Show details 5 Bidirectional Tree-Structured LSTM with Head Lexicalization ... Teng, Zhiyang; Zhang, Yue. - : arXiv, 2016 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 5 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0