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20202023
most citedModeling Future Cost for Neural Machine Translation

3 citations · 9 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 1 cited

HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge

Yingyao Wang, Yongwei Zhou, Chaoqun Duan +2

The semantic parsing-based method is an important research branch for knowledge-based question answering. It usually generates executable programs lean upon the question and then c…

cs.CL2022★ 2 cited

MuGER: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

Yingyao Wang, Junwei Bao, Chaoqun Duan +3

Hybrid question answering (HQA) aims to answer questions over heterogeneous data, including tables and passages linked to table cells. The heterogeneous data can provide different…

cs.CL2022

UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation

Yongwei Zhou, Junwei Bao, Chaoqun Duan +3

Question answering requiring discrete reasoning, e.g., arithmetic computing, comparison, and counting, over knowledge is a challenging task. In this paper, we propose UniRPG, a sem…

cs.CL2022★ 1 cited

LUNA: Learning Slot-Turn Alignment for Dialogue State Tracking

Yifan Wang, Jing Zhao, Junwei Bao +3

Dialogue state tracking (DST) aims to predict the current dialogue state given the dialogue history. Existing methods generally exploit the utterances of all dialogue turns to assi…

cs.CL2022

OPERA:Operation-Pivoted Discrete Reasoning over Text

Yongwei Zhou, Junwei Bao, Chaoqun Duan +7

Machine reading comprehension (MRC) that requires discrete reasoning involving symbolic operations, e.g., addition, sorting, and counting, is a challenging task. According to this…

cs.CL2020★ 3 cited

Modeling Future Cost for Neural Machine Translation

Chaoqun Duan, Kehai Chen, Rui Wang +4

Existing neural machine translation (NMT) systems utilize sequence-to-sequence neural networks to generate target translation word by word, and then make the generated word at each…

cs.CL2020★ 2 cited

Multimodal Matching Transformer for Live Commenting

Chaoqun Duan, Lei Cui, Shuming Ma +3

Automatic live commenting aims to provide real-time comments on videos for viewers. It encourages users engagement on online video sites, and is also a good benchmark for video-to-…