Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Watanobe, Yutaka"'
Effectively analyzing the comments to uncover latent intentions holds immense value in making strategic decisions across various domains. However, several challenges hinder the process of sentiment analysis including the lexical diversity exhibited i
Externí odkaz:
http://arxiv.org/abs/2406.00367
Autor:
Jahin, Md Abrar, Shovon, Md Sakib Hossain, Mridha, M. F., Islam, Md Rashedul, Watanobe, Yutaka
Publikováno v:
Sci Rep 14, 24882 (2024)
Sentiment analysis is crucial for understanding public opinion and consumer behavior. Existing models face challenges with linguistic diversity, generalizability, and explainability. We propose TRABSA, a hybrid framework integrating transformer-based
Externí odkaz:
http://arxiv.org/abs/2404.00297
An efficient robot path-planning model is vulnerable to the number of search nodes, path cost, and time complexity. The conventional A-star (A*) algorithm outperforms other grid-based algorithms for its heuristic search. However it shows suboptimal p
Externí odkaz:
http://arxiv.org/abs/2312.15738
A less complex and more straightforward program is a crucial factor that enhances its maintainability and makes writing secure and bug-free programs easier. However, due to its heavy workload and the risks of breaking the working programs, programmer
Externí odkaz:
http://arxiv.org/abs/2311.11690
Finding and fixing errors is a time-consuming task not only for novice programmers but also for expert programmers. Prior work has identified frequent error patterns among various levels of programmers. However, the differences in the tendencies betw
Externí odkaz:
http://arxiv.org/abs/2311.00513
Programmers often struggle to identify and fix bugs in their programs. In recent years, many language models (LMs) have been proposed to fix erroneous programs and support error recovery. However, the LMs tend to generate solutions that differ from t
Externí odkaz:
http://arxiv.org/abs/2309.14760
Autor:
Shirafuji, Atsushi, Watanobe, Yutaka
Referring to solution programs written by other users is helpful for learners in programming education. However, current online judge systems just list all solution programs submitted by users for references, and the programs are sorted based on the
Externí odkaz:
http://arxiv.org/abs/2307.07940
The automated code evaluation system (AES) is mainly designed to reliably assess user-submitted code. Due to their extensive range of applications and the accumulation of valuable resources, AESs are becoming increasingly popular. Research on the app
Externí odkaz:
http://arxiv.org/abs/2307.08705
Autor:
Shirafuji, Atsushi, Watanobe, Yutaka, Ito, Takumi, Morishita, Makoto, Nakamura, Yuki, Oda, Yusuke, Suzuki, Jun
Using large language models (LLMs) for source code has recently gained attention. LLMs, such as Transformer-based models like Codex and ChatGPT, have been shown to be highly capable of solving a wide range of programming problems. However, the extent
Externí odkaz:
http://arxiv.org/abs/2306.14583
Autor:
Mridha, M. F., Ohi, Abu Quwsar, Monowar, Muhammad Mostafa, Hamid, Md. Abdul, Islam, Md. Rashedul, Watanobe, Yutaka
Speaker recognition deals with recognizing speakers by their speech. Most speaker recognition systems are built upon two stages, the first stage extracts low dimensional correlation embeddings from speech, and the second performs the classification t
Externí odkaz:
http://arxiv.org/abs/2102.03868