• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Bing, Lidong (4)
    • He, Ruidan (4)
    • Si, Luo (3)
    • Li, Xin (2)
    • Liu, Linlin (2)
    • ., Wai (1)
    • Cambria, Erik (1)
    • Cheng, liying.cheng@alibaba-inc.com (1)
    • Ding, Bosheng (1)
    • Joty, Shafiq (1)
    •   more
  • 
    Year
  • 
    Medium:
    
    • Online (4)
  • 
    Type:
    
    • Article (2)
    • Miscellaneous (2)
  • 
    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 – 4 of 4 1 Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details 2 Knowledge Based Multilingual Language Model ... Liu, Linlin; Li, Xin; He, Ruidan; Bing, Lidong; Joty, Shafiq; Si, Luo. - : arXiv, 2021 Abstract: Knowledge enriched language representation learning has shown promising performance across various knowledge-intensive NLP tasks. However, existing knowledge based language models are all trained with monolingual knowledge graph data, which limits their application to more languages. In this work, we present a novel framework to pretrain knowledge based multilingual language models (KMLMs). We first generate a large amount of code-switched synthetic sentences and reasoning-based multilingual training data using the Wikidata knowledge graphs. Then based on the intra- and inter-sentence structures of the generated data, we design pretraining tasks to facilitate knowledge learning, which allows the language models to not only memorize the factual knowledge but also learn useful logical patterns. Our pretrained KMLMs demonstrate significant performance improvements on a wide range of knowledge-intensive cross-lingual NLP tasks, including named entity recognition, factual knowledge retrieval, relation ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2111.10962 https://arxiv.org/abs/2111.10962 BASE Hide details 3 MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ... Zhou, Ran; Li, Xin; He, Ruidan. - : arXiv, 2021 BASE Show details 4 On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ... 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; Bing, Lidong; Cheng, liying.cheng@alibaba-inc.com. - : Underline Science Inc., 2021 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 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0