In this paper, we introduce a data-driven approach for Formality-Sensiti...
Generative commonsense reasoning refers to the task of generating accept...
Data-centric AI approach aims to enhance the model performance without
m...
This paper presents a novel approach of leveraging Inter-Annotator Agree...
Inter-Annotator Agreement (IAA) is commonly used as a measure of label
c...
Leaderboard systems allow researchers to objectively evaluate Natural
La...
Data-centric AI has shed light on the significance of data within the ma...
With the recent advance in neural machine translation demonstrating its
...
As pre-trained language models become more resource-demanding, the inequ...
BlenderBot 2.0 is a dialogue model that represents open-domain chatbots ...
We propose a deep learning-based foreign language learning platform, nam...
Data building for automatic post-editing (APE) requires extensive and
ex...
Building of data for quality estimation (QE) training is expensive and
r...
Generative commonsense reasoning is the capability of a language model t...
This paper proposes a tool for efficiently constructing high-quality par...
Machine translation (MT) system aims to translate source language into t...
Abstractive dialogue summarization is a challenging task for several rea...
Augmentative and alternative communication (AAC) is a practical means of...