1 code implementation • 20 Oct 2022 • Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey Stanton
An NLP model that understands stories should be able to understand the characters in them.
no code implementations • 30 Apr 2022 • Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu
As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks.
1 code implementation • NAACL 2022 • Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey Stanton
We propose a new task for assessing machines' skills of understanding fictional characters in narrative stories.
no code implementations • 15 Mar 2022 • Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang
Pre-trained Transformer models have achieved successes in a wide range of NLP tasks, but are inefficient when dealing with long input sequences.
3 code implementations • 7 Jun 2021 • Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
Recent advancements in open-domain question answering (ODQA), i. e., finding answers from large open-domain corpus like Wikipedia, have led to human-level performance on many datasets.
no code implementations • EACL 2021 • Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
This paper proposes a new problem of complementary evidence identification for open-domain question answering (QA).
no code implementations • 20 Jul 2020 • Xiangyang Mou, Brandyn Sigouin, Ian Steenstra, Hui Su
Different from purely text-based dialogue state tracking, the dialogue in AVSD contains a sequence of question-answer pairs about a video and the final answer to the given question requires additional understanding of the video.
no code implementations • WS 2020 • Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
A lot of progress has been made to improve question answering (QA) in recent years, but the special problem of QA over narrative book stories has not been explored in-depth.