activity
20192022
most citedLIREx: Augmenting Language Inference with Relevant Explanation

13 citations · 38 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL202213 cited

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions

Jiazhao Li, Corey Lester, Xinyan Zhao +3

The language used by physicians and health professionals in prescription directions includes medical jargon and implicit directives and causes much confusion among patients. Human…

cs.CL20215 cited

UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues

Xinyan Zhao, Bin He, Yasheng Wang +6

With the advances in deep learning, tremendous progress has been made with chit-chat dialogue systems and task-oriented dialogue systems. However, these two systems are often tackl…

cs.CL2021

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Xinyan Zhao, Haibo Ding, Zhe Feng

Instead of using expensive manual annotations, researchers have proposed to train named entity recognition (NER) systems using heuristic labeling rules. However, devising labeling…

cs.CL20211 cited

Toward Effective Automated Content Analysis via Crowdsourcing

Jiele Wu, Chau-Wai Wong, Xinyan Zhao +1

Many computer scientists use the aggregated answers of online workers to represent ground truth. Prior work has shown that aggregation methods such as majority voting are effective…

cs.CL202013 cited

LIREx: Augmenting Language Inference with Relevant Explanation

Xinyan Zhao, V. G. Vinod Vydiswaran

Natural language explanations (NLEs) are a special form of data annotation in which annotators identify rationales (most significant text tokens) when assigning labels to data inst…

cs.CL2020

A Weighted Heterogeneous Graph Based Dialogue System

Xinyan Zhao, Liangwei Chen, Huanhuan Chen

Knowledge based dialogue systems have attracted increasing research interest in diverse applications. However, for disease diagnosis, the widely used knowledge graph is hard to rep…