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NLP for Wikipedia (ACL 2025)/Call for Papers

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Call for Papers

Program
2nd WikiNLP: Advancing Natural Language Process for Wikipedia
Co-located with ACL 2025


Important dates

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The planned dates are as follows:

  • Call for participation release: 22 January 2025
  • Paper submission deadline: TBD
  • Accept/reject notification: TBD
  • Camera-ready paper deadline: TBD
  • Workshop: TBD

NOTE: While the workshop will be hybrid (virtual + in-person), if you would like to attend in-person and need a visa for that purpose, you may use this link to request an invitation letter: LINK

Topics

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We invite contributions on a wide range of topics related to NLP and Wikipedia, including but not limited to:

  • Wikipedia text analysis and understanding
  • Text generation and summarization for Wikipedia articles
  • Multilingual and cross-lingual approaches for Wikipedia content
  • Quality assessment and vandalism detection in Wikipedia
  • Recommendation systems for Wikipedia content
  • Semantic enrichment and entity linking in Wikipedia
  • Applications of NLP for structured data in Wikimedia projects
  • Misinformation detection for Wikipedia
  • Ethical considerations and biases in NLP for Wikipedia
  • Impact of LLMs on Wikipedia's communities
  • Human-AI collaboration for improving Wikipedia content
  • Benchmark datasets and evaluation metrics
  • Knowledge-intensive NLP over Wikipedia content

We also encourage papers that include the creation of new datasets relevant to NLP tasks to support the Wikimedia communities. For example:

  • References across languages by topic
  • Edit summaries and associated diffs
  • Talk page discussions and outcomes
  • Edits that inserted new facts along with the text from the supporting reference

While we encourage use of Wikipedia content, NLP work from other Wikimedia platforms such as Wikisource or Wikidata labels is also welcome. If you have questions about potential research ideas or existing resources in a given topical area, feel free to reach out to the workshop organizers at nlp4wikipedia[@]googlegroups.com and we will do our best to help out.

Submission Guidelines

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We welcome the following types of contributions.

Track 1: Datasets and Benchmarks

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Track 2: General Track

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Track 3: Community Papers

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