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Found 5 papers, 1 papers with code
Investigating person-specific errors in chat-oriented dialogue systems
Creating chatbots to behave like real people is important in terms of believability.
Dialogue Collection for Recording the Process of Building Common Ground in a Collaborative Task
To develop a dialogue system that can build common ground with users, the process of building common ground through dialogue needs to be clarified.
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
In this study, we define an interpretable reading comprehension (IRC) model as a pipeline model with the capability of predicting unanswerable queries.
Task-adaptive Pre-training of Language Models with Word Embedding Regularization
TAPTER runs additional pre-training by making the static word embeddings of a PTLM close to the word embeddings obtained in the target domain with fastText.
VisualMRC: Machine Reading Comprehension on Document Images
In this study, we introduce a new visual machine reading comprehension dataset, named VisualMRC, wherein given a question and a document image, a machine reads and comprehends texts in the image to answer the question in natural language.
Machine Reading Comprehension
Natural Language Understanding
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