LabCompass

María Leonor Pacheco

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2015Rising activity
Topic ModelingNatural Language Processing TechniquesHate Speech and Cyberbullying DetectionSentiment Analysis and Opinion MiningText Readability and Simplification

Publications

56

Citations

275

Est. group size

~3

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

María Leonor Pacheco works in natural language processing, focusing on how computers can automatically analyze text to detect structure like topics, narratives, and reasoning patterns in large collections of documents (e.g., social media, news, and scholarly writing). Her recent work spans identifying media narratives, analyzing power dynamics in conversations, benchmarking logical and commonsense reasoning, and building large-scale datasets such as a census of YouTube channels. This research generally aims to make sense of unstructured text data using structured, interpretable methods.

Topic modeling and text clusteringNarrative and discourse analysisLogical and commonsense reasoning in NLPSocial media and online discourse analysisStructured prediction for text understanding

Publication output has grown steadily over the last decade, rising from occasional papers in 2017-2020 to a much higher and increasing rate by 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 9.0/year recently
2017: 1 publication1718192020: 2 publications202021: 5 publications212022: 5 publications222023: 6 publications232024: 8 publications242025: 10 publications252026: 16 publications1626
Recent publications
Publishes in
  • arXiv (Cornell University)×22
  • 2022 IEEE Symposium on Security and Privacy (SP)×1
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)×1
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing×1
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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