1 citations · 1 across the 2 of their papers we have counts for
3 papers
vMF Sentence LDA: A Spherical Topic Model over Sentence Embeddings
Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi
Latent Dirichlet Allocation (LDA) and models derived from it remain widely used topic models. LDA observes each document as a bag-of-words and models each topic by a categorical di…
Summarization of Investment Reports Using Pre-trained Model
Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi +2
In this paper, we attempt to summarize monthly reports as investment reports. Fund managers have a wide range of tasks, one of which is the preparation of investment reports. In ad…
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi +2
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is cru…