27 citations · 82 across the 30 of their papers we have counts for
6 papers · 1 filter
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Tao Gui, Lizhi Qing, Qi Zhang +4
Multi-task learning (MTL) has received considerable attention, and numerous deep learning applications benefit from MTL with multiple objectives. However, constructing multiple rel…
Discrete Argument Representation Learning for Interactive Argument Pair Identification
Lu Ji, Zhongyu Wei, Jing Li +2
In this paper, we focus on extracting interactive argument pairs from two posts with opposite stances to a certain topic. Considering opinions are exchanged from different perspect…
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication
Ruize Wang, Zhongyu Wei, Ying Cheng +5
Visual storytelling aims to generate a narrative paragraph from a sequence of images automatically. Existing approaches construct text description independently for each image and…
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
Minlong Peng, Qi Zhang, Xuanjing Huang
Cross-domain sentiment analysis is currently a hot topic in the research and engineering areas. One of the most popular frameworks in this field is the domain-invariant representat…
Simplify the Usage of Lexicon in Chinese NER
Ruotian Ma, Minlong Peng, Qi Zhang +1
Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2018) h…
Address Instance-level Label Prediction in Multiple Instance Learning
Minlong Peng, Qi Zhang
\textit{Multiple Instance Learning} (MIL) is concerned with learning from bags of instances, where only bag labels are given and instance labels are unknown. Existent approaches in…