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Natural Language Processing Lab
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The lab studies natural language processing, which handles text, as well as the analysis of odor information.
AboutAbout the lab
Applying techniques for processing text to the analysis of odors.
The Natural Language Processing Lab studies techniques for processing text in languages such as Japanese and English by computer.
The lab studies the classification of sentences and documents based on parameter estimation of statistical language models, and the estimation of similarity between sentences and between documents using deep learning.
Using models similar to statistical language models, the lab also works on the analysis of odor information.
Key terms
- Natural language processing
- A research field on techniques for processing text written in natural languages such as Japanese and English by computer
- Olfactory bulb
- The first brain tissue to receive odor information. It is studied by imaging the activity patterns of groups of neurons
- Odor traces
- The sources of an odor. They are the targets that the lab separates from the measurement data of multi-channel odor sensors and visualizes
ResearchResearch themes
Natural language processing is a research field on techniques for processing text written in natural languages such as Japanese and English by computer. This lab works on the classification of sentences and documents based on statistical language models, the estimation of similarity between sentences and between documents using deep learning, and the analysis of olfactory information using models similar to statistical language models.
*Illustrative imageClassification of Sentences and Documents and Estimation of Similarity
The lab studies how to identify and classify the classes of sentences and documents based on parameter estimation of statistical language models. It also studies how to estimate the similarity between sentences and between documents using deep learning.
*Illustrative imageAnalysis of Odor Information
Using images of activity patterns in the olfactory bulb of rats exposed to various substances, the lab works on identifying the features of an odor and the parts of the olfactory bulb that fire when detecting it. The lab also studies how to separate odor traces from measurement data of multi-channel odor sensors and visualize them.
MembersFaculty
- ProfessorYoichi Tomiura
VoicesStudent voices
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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: “Perfume set from Sovjetunio cca 1965” Takkk / CC BY-SA 3.0 (cropped)
- Classification of Sentences and Documents and Estimation of Similarity: “Schlagwortkatalog” Dr. Marcus Gossler / CC BY-SA 3.0 (cropped)
- Analysis of Odor Information: “Sommelier and Perfumer Ethan Turner” Ethan Turner / CC BY-SA 4.0 (cropped)
- Related lab (感覚情報処理研究室): “Auditory System” This work by Cenveo is licensed under a Creative Commons Attribution 3.0 United States (https://creativecommons.org/licenses/by/3.0/us/). / CC BY 3.0 (cropped)
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データマイニング・AI研究室): “Korean Robot” ApexInfinity Games / CC0 (cropped) - Related lab (ヒューマン・
データ・インタラクション研究室): “APRENDIZAJE SIGNIFICATIVO” SAMMYTQM / CC BY-SA 4.0 (cropped)
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