42 citations · 55 across the 8 of their papers we have counts for
8 papers
Computational analyses of linguistic features with schizophrenic and autistic traits along with formal thought disorders
Takeshi Saga, Hiroki Tanaka, Satoshi Nakamura
[See full abstract in the pdf] Formal Thought Disorder (FTD), which is a group of symptoms in cognition that affects language and thought, can be observed through language. FTD is…
Inter-connection: Effective Connection between Pre-trained Encoder and Decoder for Speech Translation
Yuta Nishikawa, Satoshi Nakamura
In end-to-end speech translation, speech and text pre-trained models improve translation quality. Recently proposed models simply connect the pre-trained models of speech and text…
Sketch-based Medical Image Retrieval
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya +12
The amount of medical images stored in hospitals is increasing faster than ever; however, utilizing the accumulated medical images has been limited. This is because existing conten…
Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System
Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa +1
A conversational recommender system (CRS) is a practical application for item recommendation through natural language conversation. Such a system estimates user interests for appro…
Evaluating the Robustness of Discrete Prompts
Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh +1
Discrete prompts have been used for fine-tuning Pre-trained Language Models for diverse NLP tasks. In particular, automatic methods that generate discrete prompts from a small set…
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain
Heli Qi, Sashi Novitasari, Andros Tjandra +2
This paper introduces SpeeChain, an open-source Pytorch-based toolkit designed to develop the machine speech chain for large-scale use. This first release focuses on the TTS-to-ASR…