Lexical complexity prediction (LCP) is the task of predicting the comple...
With the success of neural language models (LMs), their language acquisi...
We have constructed Arukikata Travelogue Dataset and released it free of...
Avoiding the generation of responses that contradict the preceding conte...
Interpretable rationales for model predictions are crucial in practical
...
The use of pretrained masked language models (MLMs) has drastically impr...
One critical issue of zero anaphora resolution (ZAR) is the scarcity of
...
Existing approaches for automated essay scoring and document representat...
In general, the labels used in sequence labeling consist of different ty...
Interpretable rationales for model predictions play a critical role in
p...
Existing automatic evaluation metrics for open-domain dialogue response
...
We present a new task, suspicious news detection using micro blog text. ...
We present a simple and accurate span-based model for semantic role labe...