NLP in the patent domain. Overlaps with Legal Domain NLP and Scientific Text Processing.

• Classification
  • D'hondt et al 2013 - Text Representations for Patent Classification
  • Hepburn 2018 - Universal Language Model Fine-tuning for Patent Classification
  • Niu & Cai 2019 - A Label Informative Wide & Deep Classifier for Patents and Papers
• Translation
  • 2005 Workshop on Patent Translation
  • Nanba et al 2012 - Automatic Translation of Scholarly Terms into Patent Terms Using Synonym Extraction Techniques
  • Soares et al 2020 - ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts
• Retrieval
  • 2003 - Overview of Patent Retrieval Task at NTCIR-3
  • Itoh et al 2003 - Term Distillation in Patent Retrieval
  • Temnikova et al 2013 - Measuring Closure Properties of Patent Sublanguages Paper is about issues in patent search
• Keyword Extraction
  • Suzuki & Takatsuka 2016 - Extraction of Keywords of Novelties From Patent Claims
• Information Extraction and Other Analysis
  • Sheremetyeva 2003 - Natural Language Analysis of Patent Claims
  • Galibert et al 2010 - Hybrid Citation Extraction from Patents
  • Zhai et al 2019 - Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
  • Nittala & Shrivastava 2020 - The WEAVE Corpus: Annotating Synthetic Chemical Procedures in Patents with Chemical Named Entities
  • Hu & Verberne 2020 - Named Entity Recognition for Chinese Biomedical Patents
• Patent Claim Construction
  • Sheremetyeva, Nirenburg & Nirenburg 1996- Generating Patent Claims from Interactive Input
  • Tonguz et al 2021 - Automating Claim Construction in Patent Applications: The CMUmine Dataset

• EuroPat: Sentence-Aligned European Patent Corpus: website 2011 paper
• ParaPat: paper Large parallel corpus of patent abstract (68M sentences total)
• CMUmine: paper dataset Patent application dataset. Contains patent claims section, used for automatic construction of patent claims. They seem to be unaware of the EuroPat dataset, as well as the large amount of prior work on NLP for patents.

• 2003 Workshop on Patent Corpus Processing
• 2005 Workshop on Patent Translation

• Legal Domain NLP Some overlap with patent domain NLP
• Scientific Text Processing Some overlap with patent domain NLP