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Aizawa Lab
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The lab supports people's intellectual activities through language technology.
AboutAbout the lab
Natural language processing technology that supports human intellectual activity.
The Aizawa Lab studies text-centered content and media under the theme of "natural language processing technology that supports human intellectual activities."
Building on machine learning, statistical analysis, and corpus analysis, the lab works on text mining and language understanding with artificial intelligence.
The lab also conducts research that models how people use language, such as measuring how people read and write.
Key terms
- Corpus
- A large collection of text gathered and organized for research. It is used to study how words are used.
- Text mining
- Technology that uses computers to extract useful information and trends from large amounts of text.
- Large language model
- An AI trained on vast amounts of text that can understand and generate text. It is the engine behind systems such as ChatGPT.
NewsLab news
A doctoral student received an Encouragement Award at YANS
Released the evaluation dataset MCQFormatBench
ResearchResearch themes
The lab studies text-centered content and media, aiming to develop natural language processing technology that supports human intellectual activity. Current work covers verifying claims in scientific papers, the transparency and reliability of large language models, and large language models for the medical domain.
*Illustrative imageVerifying claims in scientific papers
This research checks whether the claims made in a scientific paper are consistent with the tables and figures in that paper. The lab is also building data that explains the evidence for verification, based on the correspondence between tables and text.
*Illustrative imageTransparency and reliability of large language models
The lab has created a new evaluation dataset that measures how well large language models handle words that are written with the same characters in Japanese and Chinese but have different meanings.
*Illustrative imageLarge language models for the medical domain
As part of a national large-scale project (SIP), the lab researches language models that handle medical documents, and has released a benchmark for evaluating Japanese language models for medical use.
MembersFaculty
The members of the Aizawa Lab consist of faculty, joint researchers and research collaborators, doctoral and master's students, research students, interns, and secretaries.As of 2025
- ProfessorAkiko Aizawa
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Metal movable type” Willi Heidelbach / CC BY 2.5 (cropped)
- Verifying claims in scientific papers: “Egyetemi Könyvtár4” Thaler / CC BY-SA 3.0 (cropped)
- Transparency and reliability of large language models: “Kanji (see)” Immanuel Giel / CC0 (cropped)
- Large language models for the medical domain: “2023 Stetoskop” Jacek Halicki / CC BY-SA 4.0 (cropped)
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