• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (13)
    • subject to license (1)

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 – 13 of 13 1 NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better ... Wu, Chuhan; Wu, Fangzhao; Qi, Tao. - : arXiv, 2022 BASE Show details 2 Provably Secure Generative Linguistic Steganography ... Zhang, Siyu; Yang, Zhongliang; Yang, Jinshuai. - : arXiv, 2021 BASE Show details 3 Empowering News Recommendation with Pre-trained Language Models ... Wu, Chuhan; Wu, Fangzhao; Qi, Tao. - : arXiv, 2021 BASE Show details 4 One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ... 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; Huang, Yongfeng; Wu, Chuhan. - : Underline Science Inc., 2021 BASE Show details 5 Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ... 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; Huang, Yongfeng; Qi, Tao; Wu, Chuhan; Wu, Fangzhao. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.107 Abstract: Transformer is important for text modeling. However, it has difficulty in handling long documents due to the quadratic complexity with input text length. In order to handle this problem, we propose a hierarchical interactive Transformer (Hi-Transformer) for efficient and effective long document modeling. Hi-Transformer models documents in a hierarchical way, i.e., first learns sentence representations and then learns document representations. It can effectively reduce the complexity and meanwhile capture global document context in the modeling of each sentence. More specifically, we first use a sentence Transformer to learn the representations of each sentence. Then we use a document Transformer to model the global document context from these sentence representations. Next, we use another sentence Transformer to enhance sentence modeling using the global document context. Finally, we use hierarchical pooling method to obtain document ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/wqt9-bc64 https://underline.io/lecture/25858-hi-transformer-hierarchical-interactive-transformer-for-efficient-and-effective-long-document-modeling BASE Hide details 6 One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ... 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; Huang, Yongfeng; Wu, Chuhan. - : Underline Science Inc., 2021 BASE Show details 7 Provably Secure Generative Linguistic Steganography ... 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; Huang, Yongfeng; Yang, Zhongliang. - : Underline Science Inc., 2021 BASE Show details 8 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ... 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; Huang, Yongfeng; Qi, Tao. - : Underline Science Inc., 2021 BASE Show details 9 PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity ... 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; Huang, Yongfeng; Qi, Tao. - : Underline Science Inc., 2021 BASE Show details 10 Neural news recommendation with negative feedback [<Journal>] Wu, Chuhan [Verfasser]; Wu, Fangzhao [Verfasser]; Huang, Yongfeng [Verfasser]. DNB Subject Category Language Show details 11 Helpfulness-aware review based neural recommendation [<Journal>] Ge, Suyu [Verfasser]; Qi, Tao [Verfasser]; Wu, Chuhan [Verfasser]. DNB Subject Category Language Show details 12 Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization ... Liu, Junxin; Wu, Fangzhao; Wu, Chuhan. - : arXiv, 2019 BASE Show details 13 A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words Wang, Bingkun; Huang, Yongfeng; Wu, Xian. - : Hindawi Publishing Corporation, 2015 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 2 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 11 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0