17 citations · 27 across the 6 of their papers we have counts for
7 papers
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…
Text Classification with Novelty Detection
Qi Qin, Wenpeng Hu, Bing Liu
This paper studies the problem of detecting novel or unexpected instances in text classification. In traditional text classification, the classes appeared in testing must have been…
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.…
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…
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…
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.,…
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…