93 citations · 213 across the 9 of their papers we have counts for
9 papers
SpanRE: Entities and Overlapping Relations Extraction Based on Spans and Entity Attention
Hao Zhang
Extracting entities and relations is an essential task of information extraction. Triplets extracted from a sentence might overlap with each other. Previous methods either did not…
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Hao Zhang, Aixin Sun, Wei Jing +3
Natural Language Video Localization (NLVL) aims to locate a target moment from an untrimmed video that semantically corresponds to a text query. Existing approaches mainly solve th…
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang +1
Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a dialogue. When the given text is long, it is c…
An Embarrassingly Simple Model for Dialogue Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang +2
Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a simple yet effective model named SimpleRE for…
Context Modeling with Evidence Filter for Multiple Choice Question Answering
Sicheng Yu, Hao Zhang, Wei Jing +1
Multiple-Choice Question Answering (MCQA) is a challenging task in machine reading comprehension. The main challenge in MCQA is to extract "evidence" from the given context that su…
Deep N-ary Error Correcting Output Codes
Hao Zhang, Joey Tianyi Zhou, Tianying Wang +2
Ensemble learning consistently improves the performance of multi-class classification through aggregating a series of base classifiers. To this end, data-independent ensemble metho…
Span-based Localizing Network for Natural Language Video Localization
Hao Zhang, Aixin Sun, Wei Jing +1
Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that semantically corresponds to the query. Existi…
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang, Hao Zhang, Wei Qi Toh +5
Learning-based methods have been used to pro-gram robotic tasks in recent years. However, extensive training is usually required not only for the initial task learning but also for…
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
Tianying Wang, Wei Qi Toh, Hao Zhang +4
Robotic drawing has become increasingly popular as an entertainment and interactive tool. In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system…