67 citations · 192 across the 21 of their papers we have counts for
8 papers · 1 filter
Two Step Joint Model for Drug Drug Interaction Extraction
Siliang Tang, Qi Zhang, Tianpeng Zheng +7
When patients need to take medicine, particularly taking more than one kind of drug simultaneously, they should be alarmed that there possibly exists drug-drug interaction. Interac…
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Jiacheng Li, Siliang Tang, Juncheng Li +4
Visual Storytelling~(VIST) is a task to tell a narrative story about a certain topic according to the given photo stream. The existing studies focus on designing complex models, wh…
Quda: Natural Language Queries for Visual Data Analytics
Siwei Fu, Kai Xiong, Xiaodong Ge +3
The identification of analytic tasks from free text is critical for visualization-oriented natural language interfaces (V-NLIs) to suggest effective visualizations. However, it is…
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models
Yankun Ren, Jianbin Lin, Siliang Tang +4
Today text classification models have been widely used. However, these classifiers are found to be easily fooled by adversarial examples. Fortunately, standard attacking methods ge…
Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin +6
Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption…
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision
Qi Zhang, Siliang Tang, Xiang Ren +3
This paper provides a new way to improve the efficiency of the REINFORCE training process. We apply it to the task of instance selection in distant supervision. Modeling the instan…
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
Bo Chen, Xiaotao Gu, Yufeng Hu +4
Recently, distant supervision has gained great success on Fine-grained Entity Typing (FET). Despite its efficiency in reducing manual labeling efforts, it also brings the challenge…
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
Yujin Yuan, Liyuan Liu, Siliang Tang +5
Distant supervision leverages knowledge bases to automatically label instances, thus allowing us to train relation extractor without human annotations. However, the generated train…