VK-G2T: Vision and Context Knowledge enhanced Gloss2Text

no code implementations • 15 Dec 2023 • Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie

Existing sign language translation methods follow a two-stage pipeline: first converting the sign language video to a gloss sequence (i. e. Sign2Gloss) and then translating the generated gloss sequence into a spoken language sentence (i. e. Gloss2Text).

Sentence Sign Language Translation +1

OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach

no code implementations • 24 Feb 2021 • Shaobo Cui, Xintong Bao, Xinxing Zu, Yangyang Guo, Zhongzhou Zhao, Ji Zhang, Haiqing Chen

This pipeline approach, however, is undesired in mining the most appropriate QA pairs from documents since it ignores the connection between question generation and answer extraction, which may lead to incompatible QA pair generation, i. e., the selected answer span is inappropriate for question generation.

Machine Reading Comprehension Question Answering +2

MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning

no code implementations • 13 Apr 2020 • Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen

In this paper, we propose the conversational query rewriting model - MLR, which is a Multi-task model on sequence Labeling and query Rewriting.

Multi-Task Learning