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Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?
As a result of the experiment, we present that the FoCus model could not correctly blend the knowledge according to the input dialogue and that the dataset design is unsuitable for the multi-turn conversation.
Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing
This study has several limitations, considering the data acquisition, because there is no official dataset for most language pairs.
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
With the recent advance in neural machine translation demonstrating its importance, research on quality estimation (QE) has been steadily progressing.
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models
This can be attributed to the fact that the amount of available training data in each language follows the power-law distribution, and most of the languages belong to the long tail of the distribution.
There is no rose without a thorn: Finding weaknesses on BlenderBot 2.0 in terms of Model, Data and User-Centric Approach
BlenderBot 2. 0 is a dialogue model that represents open-domain chatbots by reflecting real-time information and remembering user information for an extended period using an internet search module and multi-session.
