Papers by Sen Yoshida

3 papers
Dialogue Collection for Recording the Process of Building Common Ground in a Collaborative Task (2022.lrec-1)

Copied to clipboard

Challenge: Existing studies on the process of building common ground have not been well conducted.
Approach: They propose a method for recording the process of building common ground through a dialogue by using the intermediate result of a task.
Outcome: The proposed method can record the building common ground process by using the intermediate result of a task and can be estimated quite accurately.
Task-adaptive Pre-training of Language Models with Word Embedding Regularization (2021.findings-acl)

Copied to clipboard

Challenge: Pre-trained language models acquire domain-independent knowledge through pre-training with massive textual resources.
Approach: They propose a task-adaptive pre-training process that makes static embeddings close to the word embedds obtained in the target domain.
Outcome: The proposed process improves on BioASQ and SQuAD when the pre-training corpora were not dominated by indomain data.
Investigating person-specific errors in chat-oriented dialogue systems (2022.acl-short)

Copied to clipboard

Challenge: Errors in general chatbots and chatbot that follow a rough persona have been studied . but those in chatbot based on real people have not been thoroughly investigated .
Approach: They analyze dialogue data of a generation-based chatbot trained from dialogue data . they find errors in attributes and relations can be divided into two levels: self and other .
Outcome: The results show that errors in chatbots can be divided into two types . the correspondence with an existing taxonomy of errors was also investigated .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations