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Found 12 papers, 1 papers with code
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
We show that on the GLUE tasks, the combination of our pretrained CNN with ALBERT outperforms the original ALBERT and achieves a similar performance to that of SOTA.
Understanding User Utterances in a Dialog System for Caregiving
A dialog system that can monitor the health status of seniors has a huge potential for solving the labor force shortage in the caregiving industry in aging societies.
Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge
Furthermore, we investigate the effect of supplying background knowledge to our classifiers.
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
In this paper, we propose a method for why-question answering (why-QA) that uses an adversarial learning framework.
WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data
We demonstrate our large-scale NLP systems: WISDOM X, DISAANA, and D-SUMM.
