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20172023
most citedNeural System Combination for Machine Translation

17 citations · 27 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CL2023★ 6 cited

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models

Zhengwei Tao, Zhi Jin, Xiaoying Bai +4

Events serve as fundamental units of occurrence within various contexts. The processing of event semantics in textual information forms the basis of numerous natural language proce…

cs.CL2019★ 1 cited

Transformation of Dense and Sparse Text Representations

Wenpeng Hu, Mengyu Wang, Bing Liu +5

Sparsity is regarded as a desirable property of representations, especially in terms of explanation. However, its usage has been limited due to the gap with dense representations.…

cs.CL2019

Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce

Zhenxin Fu, Feng Ji, Wenpeng Hu +4

Information-seeking conversation system aims at satisfying the information needs of users through conversations. Text matching between a user query and a pre-collected question is…

cs.CL2019

FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition

Hongyin Zhu, Wenpeng Hu, Yi Zeng

Named entity recognition (NER) is a foundational technology for information extraction. This paper presents a flexible NER framework compatible with different languages and domains…

cs.CL2019

GSN: A Graph-Structured Network for Multi-Party Dialogues

Wenpeng Hu, Zhangming Chan, Bing Liu +3

Existing neural models for dialogue response generation assume that utterances are sequentially organized. However, many real-world dialogues involve multiple interlocutors (i.e.,…

cs.CL2017★ 17 cited

Neural System Combination for Machine Translation

Long Zhou, Wenpeng Hu, Jiajun Zhang +1

Neural machine translation (NMT) becomes a new approach to machine translation and generates much more fluent results compared to statistical machine translation (SMT). However, SM…