Yuhao Zhang

Topic evolution modeling in social media short texts based on recurrent semantic dependent CRP

2017

Social media has become an important platform for people to express opinions, share information and communicate with others. Detecting and tracking topics from social media can help people grasp essential information and facilitate many security-related …

An Enhanced Topic Modeling Approach to Multiple Stance Identification

2017

People often publish online texts to express their stances, which reflect the essential viewpoints they stand. Stance identification has been an important research topic in text analysis and facilitates many applications in business, public security …

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

2018 · arXiv (Cornell University)

Motivation: State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases. Although recent studies explored using neural network models for BioNER to free …

Research on Swarm Size of Multi-swarm Particle Swarm Optimization Algorithm

2018

Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO). The swarm size of the multi-swarm particle swarm optimization …

Learning Architectures from an Extended Search Space for Language Modeling

2020

Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell. In this paper, we extend the search space of NAS. …

Developing and Experimenting on Approaches to Explainability in AI Systems

2022 · Proceedings of the 14th International Conference on Agents and Artificial Intelligence

There has been a sharp rise in research activities on explainable artificial intelligence (XAI), especially in the context of machine learning (ML). However, there has been less progress in developing and implementing XAI techniques in …

FEDKA: Federated Knowledge Augmentation for Multi-Center Medical Image Segmentation on non-IID Data

2024

Federated learning (FL) allows decentralized medical institutions to collaboratively learn a shared global model without breaching data privacy. However, in the context of medical image segmentation, data distributions across centers may vary a lot due …

A Smart Contract Based Academic Certificate System

2024

Blockchain is a new technology that has received increasing attention in recent years, and its application market prospects are very broad. Currently, more and more enterprises, institutions, research institutions, and individuals have begun to explore …

Position-aware Attention and Supervised Data Improve Slot Filling

2017

Organized relational knowledge in the form of "knowledge graphs" is important for many applications. However, the ability to populate knowledge bases with facts automatically extracted from documents has improved frustratingly slowly. This paper simultaneously addresses …

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

2018

Dependency trees help relation extraction models capture long-range relations between words. However, existing dependency-based models either neglect crucial information (e.g., negation) by pruning the dependency trees too aggressively, or are computationally inefficient because it is …

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

2020

We introduce Sta n z a , an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Sta n z a features a language-agnostic fully neural pipeline for …