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Research on Intellectual Property Resource Profile and Evolution Law

arXiv 2204.06221 ↗First posted 13 Apr 2022cs.DL cs.AI cs.LGcited by 0

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Abstract (arXiv)

In the era of big data, intellectual property-oriented scientific and technological resources show the trend of large data scale, high information density, and low value density, which brings severe challenges to the effective use of intellectual property resources, and the demand for mining hidden information in intellectual property is increasing. This makes intellectual property-oriented science and technology resource portraits and analysis of evolution become a current research hotspot. This paper sorts out the construction method of intellectual property resource portraits and its preliminary work, including property entity extraction and entity completion, from the aspects of algorithm classification and general process, and identifies directions for improving future methods.

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References · 13

  1. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,830
  2. 2018A Survey on Deep Learning for Named Entity Recognitioncited by 281
  3. 2022Filter-enhanced MLP is All You Need for Sequential Recommendationcited by 96
  4. 2018Chinese NER Using Lattice LSTMcited by 81
  5. 2020FLAT: Chinese NER Using Flat-Lattice Transformercited by 67
  6. 2021Self-Supervised Graph Co-Training for Session-based Recommendationcited by 43
  7. 2021Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognitioncited by 39
  8. 2022Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrievalcited by 33
  9. 2019Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networkscited by 27
  10. 2019GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognitioncited by 18
  11. 2017Multi-label Dataless Text Classification with Topic Modelingcited by 14
  12. 2019Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddingscited by 9
1 more
  1. 2016Data Portraits and Intermediary Topics: Encouraging Exploration of Politically Diverse Profilescited by 1

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