activity
19962023
most citedChange-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

450 citations · 715 across the 18 of their papers we have counts for

collaborators

21 papers

cs.CL2023★ 2 cited

BAND: Biomedical Alert News Dataset

Zihao Fu, Meiru Zhang, Zaiqiao Meng +3

Infectious disease outbreaks continue to pose a significant threat to human health and well-being. To improve disease surveillance and understanding of disease spread, several surv…

cs.IR2019★ 35 cited

Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases

Son Doan, Quoc-Hung Ngo, Ai Kawazoe +1

We present the Global Health Monitor, an online Web-based system for detecting and mapping infectious disease outbreaks that appear in news stories. The system analyzes English new…

cs.CL2019★ 3 cited

An Empirical Study of Sections in Classifying Disease Outbreak Reports

Son Doan, Mike Conway, Nigel Collier

Identifying articles that relate to infectious diseases is a necessary step for any automatic bio-surveillance system that monitors news articles from the Internet. Unlike scientif…

cs.CL2019★ 1 cited

On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

Victor Prokhorov, Ehsan Shareghi, Yingzhen Li +2

Variational Autoencoders (VAEs) are known to suffer from learning uninformative latent representation of the input due to issues such as approximated posterior collapse, or entangl…

cs.CL2019

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier

We present a novel method for mapping unrestricted text to knowledge graph entities by framing the task as a sequence-to-sequence problem. Specifically, given the encoded state of…

cs.CL2018

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces

Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis +2

Word embedding techniques heavily rely on the abundance of training data for individual words. Given the Zipfian distribution of words in natural language texts, a large number of…