Table-to-Text: Describing Table Region with Natural Language

no code implementations • 29 May 2018 • Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao

The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table.

Language Modelling Sentence

Content-Based Table Retrieval for Web Queries

no code implementations • 8 Jun 2017 • Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li

Understanding the connections between unstructured text and semi-structured table is an important yet neglected problem in natural language processing.

Table Retrieval

Learning to Collaborate for Question Answering and Asking

no code implementations • NAACL 2018 • Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou

Secondly, directly applying GAN that regards all the generated questions as negative instances could not improve the accuracy of the QA model.

Answer Selection Generative Adversarial Network +2