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成果统计

合作作者[TOP 5]

  • 屠可伟

    合作成果数：14

  • Jiang, Yong

    合作成果数：10

  • Xie, Pengjun

    合作成果数：9

  • Huang, Fei

    合作成果数：7

  • Huang, Shen

    合作成果数：5

访问统计


  总访问量
 678
  访问来源
    内部： 3
    外部： 675
    国内： 521
    国外： 157

  年访问量
 119
  访问来源
    内部： 0
    外部： 119
    国内： 99
    国外： 20

  月访问量
 8
  访问来源
    内部： 0
    外部： 8
    国内： 4
    国外： 4

访问量

访问量

1. CRF autoencoder for unsupervised dependency parsing [1538]
2. Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders [1406]
3. Deep Inside-outside Recursive Autoencoder with All-span Objective [1020]
4. Robust unsupervised discriminative dependency parsing [730]
5. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Mul.. [519]
6. Named Entity and Relation Extraction with Multi-Modal Retrieval [499]
7. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [476]
8. An empirical comparison of unsupervised constituency parsing metho.. [471]
9. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented Sys.. [444]
10. Improving Text Matching in E-Commerce Search with A Rationalizable.. [437]
11. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [417]
12. Improving Low-resource Named Entity Recognition with Graph Propaga.. [228]
13. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented Sys.. [221]
14. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Mul.. [209]

下载量

1. CRF autoencoder for unsupervised dependency parsing [403]
2. Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders [306]
3. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [39]
4. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [3]
5. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented Sys.. [2]
6. Deep Inside-outside Recursive Autoencoder with All-span Objective [1]
7. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Mul.. [1]
8. An empirical comparison of unsupervised constituency parsing metho.. [1]
9. Named Entity and Relation Extraction with Multi-Modal Retrieval [1]