Yuki Zenimoto


2023

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Style-sensitive Sentence Embeddings for Evaluating Similarity in Speech Style of Japanese Sentences by Contrastive Learning
Yuki Zenimoto | Shinzan Komata | Takehito Utsuro
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop

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Large Scale Evaluation of End-to-End Pipeline of Speaker to Dialogue Attribution in Japanese Novels
Yuki Zenimoto | Shinzan Komata | Takehito Utsuro
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

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Headline Generation for Stock Price Fluctuation Articles
Shunsuke Nishida | Yuki Zenimoto | Xiaotian Wang | Takuya Tamura | Takehito Utsuro
Proceedings of the Sixth Workshop on Financial Technology and Natural Language Processing

The purpose of this paper is to construct a model for the generation of sophisticated headlines pertaining to stock price fluctuation articles, derived from the articles’ content. With respect to this headline generation objective, this paper solves three distinct tasks: in addition to the task of generating article headlines, two other tasks of extracting security names, and ascertaining the trajectory of stock prices, whether they are rising or declining. Regarding the headline generation task, we also revise the task as the model utilizes the outcomes of the security name extraction and rise/decline determination tasks, thereby for the purpose of preventing the inclusion of erroneous security names. We employed state-of-the-art pre-trained models from the field of natural language processing, fine-tuning these models for each task to enhance their precision. The dataset utilized for fine-tuning comprises a collection of articles delineating the rise and decline of stock prices. Consequently, we achieved remarkably high accuracy in the dual tasks of security name extraction and stock price rise or decline determination. For the headline generation task, a significant portion of the test data yielded fitting headlines.

2022

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Speaker Identification of Quotes in Japanese Novels based on Gender Classification Model by BERT
Yuki Zenimoto | Takehito Utsuro
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation

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Tweet Review Mining focusing on Celebrities by Machine Reading Comprehension based on BERT
Yuta Nozaki | Kotoe Sugawara | Yuki Zenimoto | Takehito Utsuro
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation