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Logic Mill -- A Knowledge Navigation System

arXiv 2301.00200 ↗First posted 31 Dec 2022cs.CLcited by 0

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Abstract (arXiv)

Logic Mill is a scalable and openly accessible software system that identifies semantically similar documents within either one domain-specific corpus or multi-domain corpora. It uses advanced Natural Language Processing (NLP) techniques to generate numerical representations of documents. Currently it leverages a large pre-trained language model to generate these document representations. The system focuses on scientific publications and patent documents and contains more than 200 million documents. It is easily accessible via a simple Application Programming Interface (API) or via a web interface. Moreover, it is continuously being updated and can be extended to text corpora from other domains. We see this system as a general-purpose tool for future research applications in the social sciences and other domains.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 35 references that are in the map. First posted on arXiv 31 Dec 2022.

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References · 13

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  4. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  5. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
  6. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 861
  7. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 430
  8. 2022OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and conceptscited by 177
  9. 2018ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithmscited by 130
  10. 2018Construction of the Literature Graph in Semantic Scholarcited by 118
  11. 2021Linguistically Informed Masking for Representation Learning in the Patent Domaincited by 7
  12. 2022Patents Phrase to Phrase Semantic Matching Datasetcited by 3
1 more
  1. 2019Science Quality and the Value of Inventionscited by 2

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