activity
20162018
most citedHow to Search the Internet Archive Without Indexing It

12 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2018

Multiple Models for Recommending Temporal Aspects of Entities

Tu Nguyen, Nattiya Kanhabua, Wolfgang Nejdl

Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (…

cs.DL2017★ 12 cited

How to Search the Internet Archive Without Indexing It

Nattiya Kanhabua, Philipp Kemkes, Wolfgang Nejdl +3

Significant parts of cultural heritage are produced on the web during the last decades. While easy accessibility to the current web is a good baseline, optimal access to the past w…

cs.IR2017

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

Tuan Tran, Claudia Niederée, Nattiya Kanhabua +2

Long-running, high-impact events such as the Boston Marathon bombing often develop through many stages and involve a large number of entities in their unfolding. Timeline summariza…

cs.CY2016★ 3 cited

Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?

Avaré Stewart, Sara Romano, Nattiya Kanhabua +5

Social media services such as Twitter are a valuable source of information for decision support systems. Many studies have shown that this also holds for the medical domain, where…

cs.IR2016★ 5 cited

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks

Nattiya Kanhabua, Huamin Ren, Thomas B. Moeslund

People often use a web search engine to find information about events of interest, for example, sport competitions, political elections, festivals and entertainment news. In this p…