Arseny Tolmachev

According to our database1, Arseny Tolmachev authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.
CoRR, 2024

Investigating Web Corpus Filtering Methods for Language Model Development in Japanese.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

2022
Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning.
J. Inf. Process., 2022

2021
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures.
CoRR, 2021

Inter-domain Multi-relational Link Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Crowdsourcing Evaluation of Saliency-Based XAI Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Graph-based Massive Open Online Course (MOOC) Dropout Prediction using Clickstream Data in Virtual Learning Environment.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Semi-Automatic Reliable Explanations for Prediction in Graphs.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2019
Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Juman++: A Morphological Analysis Toolkit for Scriptio Continua.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017
Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017


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