105 citations · 173 across the 8 of their papers we have counts for
8 papers
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition
Dekai Sun, Yancheng He, Jiqing Han
The lack of data and the difficulty of multimodal fusion have always been challenges for multimodal emotion recognition (MER). In this paper, we propose to use pretrained models as…
Modeling User Repeat Consumption Behavior for Online Novel Recommendation
Yuncong Li, Cunxiang Yin, Yancheng He +4
Given a user's historical interaction sequence, online novel recommendation suggests the next novel the user may be interested in. Online novel recommendation is important but unde…
Aspect-Sentiment-Multiple-Opinion Triplet Extraction
Fang Wang, Yuncong Li, Sheng-hua Zhong +2
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i.e., t…
Query-Variant Advertisement Text Generation with Association Knowledge
Siyu Duan, Wei Li, Cai Jing +3
Online advertising is an important revenue source for many IT companies. In the search advertising scenario, advertisement text that meets the need of the search query would be mor…
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
Bang Liu, Haojie Wei, Di Niu +2
The ability to ask questions is important in both human and machine intelligence. Learning to ask questions helps knowledge acquisition, improves question-answering and machine rea…
Recursive Graphical Neural Networks for Text Classification
Wei Li, Shuheng Li, Shuming Ma +3
The complicated syntax structure of natural language is hard to be explicitly modeled by sequence-based models. Graph is a natural structure to describe the complicated relation be…
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li, Jingjing Xu, Yancheng He +3
Automatic article commenting is helpful in encouraging user engagement and interaction on online news platforms. However, the news documents are usually too long for traditional en…
Learning to Generate Questions by Learning What not to Generate
Bang Liu, Mingjun Zhao, Di Niu +4
Automatic question generation is an important technique that can improve the training of question answering, help chatbots to start or continue a conversation with humans, and prov…