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成果统计

合作作者[TOP 5]

  • Jiang, Yong

    合作成果数：38

  • 王新宇

    合作成果数：21

  • Huang, Fei

    合作成果数：21

  • 蒋勇

    合作成果数：16

  • Xie, Pengjun

    合作成果数：16

访问统计


  总访问量
 3299
  访问来源
    内部： 40
    外部： 3259
    国内： 2933
    国外： 366

  年访问量
 575
  访问来源
    内部： 1
    外部： 574
    国内： 547
    国外： 28

  月访问量
 22
  访问来源
    内部： 0
    外部： 22
    国内： 22
    国外： 0

访问量

访问量

1. Unsupervised neural dependency parsing [3258]
2. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue .. [3072]
3. Context-dependent sense embedding [3039]
4. Structured Attentions for Visual Question Answering [2995]
5. Combining generative and discriminative approaches to unsupervised.. [2965]
6. CRF autoencoder for unsupervised dependency parsing [1514]
7. Conic10K: A Challenging Math Problem Understanding and Reasoning D.. [1491]
8. Dependency grammar induction with neural lexicalization and big tr.. [1435]
9. Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders [1380]
10. Semi-supervised structured prediction with neural CRF autoencoder [1311]
11. An Empirical Study of Encoders and Decoders in Graph-Based Depende.. [1045]
12. Semi-Supervised Dependency Parsing with Arc-Factored Variational A.. [1034]
13. Second-Order Neural Dependency Parsing with Message Passing and En.. [1032]
14. An Investigation of Potential Function Designs for Neural CRF [1020]
15. Enhanced Universal Dependency Parsing with Second-Order Inference .. [1012]
16. Deep Inside-outside Recursive Autoencoder with All-span Objective [1003]
17. Second-Order Unsupervised Neural Dependency Parsing [994]
18. QA4IE: A Question Answering Based Framework for Information Extrac.. [991]
19. Language Style Transfer from Sentences with Arbitrary Unknown Styl.. [991]
20. Modified Dirichlet distribution: Allowing negative parameters to i.. [933]
21. Second-Order Semantic Dependency Parsing with End-To-End Neural Ne.. [878]
22. Mapping Energy Landscapes of Non-Convex Learning Problems [839]
23. Structure-Level Knowledge Distillation For Multilingual Sequence L.. [801]
24. Joint Video and Text Parsing for Understanding Events and Answerin.. [794]
25. Enhancing unsupervised generative dependency parser with contextua.. [760]
26. Learning and evaluation of latent dependency forest models [748]
27. Generalized Supervised Attention for Text Generation [739]
28. 命名实体的识别方法、装置、设备及存储介质 [736]
29. Gaussian mixture latent vector grammars [714]
30. Robust unsupervised discriminative dependency parsing [714]
31. Latent Variable Autoencoder [713]
32. Learning Bayesian network structures under incremental constructio.. [709]
33. Latent Dependency Forest Models [688]
34. Lexicalized Neural Unsupervised Dependency Parsing [682]
35. ShanghaiTech at MRP 2019: Sequence-to-graph transduction with seco.. [654]
36. Mapping the Energy Landscape of Non-convex Optimization Problems [648]
37. Maximum A Posteriori Inference in Sum-Product Networks [632]
38. Curriculum learning of Bayesian network structures [628]
39. Projective Latent Dependency Forest Models [627]
40. Stochastic and-or grammars: A unified framework and logic perspect.. [604]
41. Sequence Prediction Using Neural Network Classifiers [596]
42. Latent variable sentiment grammar [595]
43. COMBO: A Complete Benchmark for Open KG Canonicalization [591]
44. 基于深度学习的数值词处理方法、系统、终端及介质 [587]
45. ITA: Image-Text Alignments for Multi-Modal Named Entity Recognitio.. [585]
46. 基于神经网络模型的意图分类方法、系统、终端及介质 [584]
47. Improving named entity recognition by external context retrieving .. [578]
48. 模型训练和命名实体识别方法、装置、电子设备以及存储介质 [578]
49. Structural knowledge distillation: Tractably distilling informatio.. [577]
50. Expected Likelihood: Not a good metric for Gaussian embeddings [575]
51. Multilingual grammar induction with continuous language identifica.. [573]
52. A regularization-based framework for bilingual grammar induction [544]
53. Simple Hardware-Efficient PCFGs with Independent Left and Right Pr.. [542]
54. Structured Mean-Field Variational Inference for Higher-Order Span-.. [534]
55. More Embeddings, Better Sequence Labelers? [531]
56. 数据处理方法、装置、设备及存储介质 [530]
57. Bottom-Up Constituency Parsing and Nested Named Entity Recognition.. [528]
58. Probabilistic Transformer: A Probabilistic Dependency Model for Co.. [524]
59. A Multi-Grained Self-Interpretable Symbolic-Neural Model For Singl.. [518]
60. Nested Named Entity Recognition as Latent Lexicalized Constituency.. [512]
61. A Survey of Unsupervised Dependency Parsing [511]
62. Bidirectional transition-based dependency parsing [511]
63. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Mul.. [503]
64. PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars .. [502]
65. Multi-view cross-lingual structured prediction with minimum superv.. [488]
66. Semantic Dependency Parsing with Edge GNNs [488]
67. Risk minimization for zero-shot sequence labeling [486]
68. Named Entity and Relation Extraction with Multi-Modal Retrieval [485]
69. Improving Constituent Representation with Hypertree Neural Network.. [468]
70. Joint Entity and Relation Extraction with Span Pruning and Hypergr.. [466]
71. Adapting unsupervised syntactic parsing methodology for discourse .. [464]
72. An Empirical Study of Pipeline vs. Joint Approaches to Entity and .. [464]
73. Dynamic Programming in Rank Space: Scaling Structured Inference wi.. [463]
74. Span-Based Semantic Role Labeling with Argument Pruning and Second.. [459]
75. Don't Parse, Choose Spans! Continuous and Discontinuous Constituen.. [458]
76. Learning numeral embedding [457]
77. An empirical comparison of unsupervised constituency parsing metho.. [455]
78. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [453]
79. Neuralizing Regular Expressions for Slot Filling [447]
80. SHARP: Search-Based Adversarial Attack for Structured Prediction [445]
81. Combining (Second-Order) Graph-Based and Headed-Span-Based Project.. [443]
82. 句法语言模型的无监督训练方法及装置 [443]
83. Enhanced Universal Dependency Parsing with Automated Concatenation.. [442]
84. Joint Entity and Relation Extraction with Span Pruning and Hypergr.. [441]
85. Automated concatenation of embeddings for structured prediction [440]
86. Headed-Span-Based Projective Dependency Parsing [438]
87. Neural bi-lexicalized PCFG induction [437]
88. Modeling Label Correlations for Ultra-Fine Entity Typing with Neur.. [434]
89. Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate.. [433]
90. AIN: Fast and accurate sequence labeling with approximate inferenc.. [429]
91. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented Sys.. [429]
92. 用于大语言模型的层压缩键值缓存方法、系统、设备及介质 [427]
93. Do PLMs Know and Understand Ontological Knowledge? [423]
94. Frame Semantic Role Labeling Using Arbitrary-Order Conditional Ran.. [421]
95. Improving Text Matching in E-Commerce Search with A Rationalizable.. [419]
96. Cold-start and interpretability: Turning regular expressions into .. [417]
97. Adversarial attack and defense of structured prediction models [412]
98. Dependency Transformer Grammars: Integrating Dependency Structures.. [411]
99. Unsupervised natural language parsing (introductory tutorial) [410]
100. Spa: On the Sparsity of Virtual Adversarial Training for Dependenc.. [408]

下载量

1. Unsupervised neural dependency parsing [819]
2. Combining generative and discriminative approaches to unsupervised.. [801]
3. Context-dependent sense embedding [767]
4. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue .. [767]
5. Structured Attentions for Visual Question Answering [644]
6. Dependency grammar induction with neural lexicalization and big tr.. [473]
7. CRF autoencoder for unsupervised dependency parsing [399]
8. Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders [297]
9. Semi-supervised structured prediction with neural CRF autoencoder [283]
10. Modified Dirichlet distribution: Allowing negative parameters to i.. [204]
11. Structure-Level Knowledge Distillation For Multilingual Sequence L.. [197]
12. QA4IE: A Question Answering Based Framework for Information Extrac.. [152]
13. Probabilistic Transformer: A Probabilistic Dependency Model for Co.. [109]
14. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [35]
15. Lexicalized Neural Unsupervised Dependency Parsing [6]
16. Conic10K: A Challenging Math Problem Understanding and Reasoning D.. [6]
17. Frame Semantic Role Labeling Using Arbitrary-Order Conditional Ran.. [6]
18. Latent Variable Autoencoder [5]
19. Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate.. [5]
20. Dependency Transformer Grammars: Integrating Dependency Structures.. [5]
21. Generative Pretrained Structured Transformers: Unsupervised Syntac.. [4]
22. Sparser is Faster and Less is More: Efficient Sparse Attention for.. [4]
23. Layer-Condensed KV Cache for Efficient Inference of Large Language.. [4]
24. ShanghaiTech at MRP 2019: Sequence-to-graph transduction with seco.. [3]
25. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Seq.. [3]
26. Dependency Transformer Grammars: Integrating Dependency Structures.. [3]
27. Learning and evaluation of latent dependency forest models [2]
28. An Investigation of Potential Function Designs for Neural CRF [2]
29. Combining (Second-Order) Graph-Based and Headed-Span-Based Project.. [2]
30. Improving Grammar-based Sequence-to-Sequence Modeling with Decompo.. [2]
31. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented Sys.. [2]
32. Augmenting Transformers with Recursively Composed Multi-grained Re.. [2]
33. Potential and Limitations of LLMs in Capturing Structured Semantic.. [2]
34. Layer-Condensed KV Cache for Efficient Inference of Large Language.. [2]
35. 用于大语言模型的层压缩键值缓存方法、系统、设备及介质 [2]
36. Generative Pretrained Structured Transformers: Unsupervised Syntac.. [2]
37. RoT: Enhancing Large Language Models with Reflection on Search Tre.. [2]
38. Learning Bayesian network structures under incremental constructio.. [1]
39. Curriculum learning of Bayesian network structures [1]
40. Language Style Transfer from Sentences with Arbitrary Unknown Styl.. [1]
41. Projective Latent Dependency Forest Models [1]
42. Second-Order Unsupervised Neural Dependency Parsing [1]
43. Deep Inside-outside Recursive Autoencoder with All-span Objective [1]
44. More Embeddings, Better Sequence Labelers? [1]
45. Generalized Supervised Attention for Text Generation [1]
46. Headed-Span-Based Projective Dependency Parsing [1]
47. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Mul.. [1]
48. Learning numeral embedding [1]
49. Unsupervised cross-lingual adaptation of dependency parsers using .. [1]
50. An empirical comparison of unsupervised constituency parsing metho.. [1]
51. Adversarial attack and defense of structured prediction models [1]
52. Named Entity and Relation Extraction with Multi-Modal Retrieval [1]
53. Simple Hardware-Efficient PCFGs with Independent Left and Right Pr.. [1]
54. Potential and Limitations of LLMs in Capturing Structured Semantic.. [1]
55. Improving Retrieval Augmented Open-Domain Question-Answering with .. [1]