18 citations · 37 across the 6 of their papers we have counts for
6 papers
Focus-Constrained Attention Mechanism for CVAE-based Response Generation
Zhi Cui, Yanran Li, Jiayi Zhang +3
To model diverse responses for a given post, one promising way is to introduce a latent variable into Seq2Seq models. The latent variable is supposed to capture the discourse-level…
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Xin Cong, Bowen Yu, Tingwen Liu +3
Few-shot classification tends to struggle when it needs to adapt to diverse domains. Due to the non-overlapping label space between domains, the performance of conventional domain…
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
Qi Huang, Junshuai Yu, Jia Wu +1
With the rapid development of mobile Internet technology and the widespread use of mobile devices, it becomes much easier for people to express their opinions on social media. The…
Unified Multi-Criteria Chinese Word Segmentation with BERT
Zhen Ke, Liang Shi, Erli Meng +3
Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word boundaries in a Chinese sentence composed of continuous characters while multiple segmentation criteria exist.…
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching
Chunxiao Liu, Zhendong Mao, An-An Liu +3
Learning semantic correspondence between image and text is significant as it bridges the semantic gap between vision and language. The key challenge is to accurately find and corre…
Learning neural trans-dimensional random field language models with noise-contrastive estimation
Bin Wang, Zhijian Ou
Trans-dimensional random field language models (TRF LMs) where sentences are modeled as a collection of random fields, have shown close performance with LSTM LMs in speech recognit…