most citedHow to Search the Internet Archive Without Indexing It

12 citations · 27 across the 5 of their papers we have counts for

collaborators

6 papers

cs.IR2018★ 1 cited

A Trio Neural Model for Dynamic Entity Relatedness Ranking

Tu Nguyen, Tuan Tran, Wolfgang Nejdl

Measuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in stati…

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.SI2017★ 3 cited

On Early-stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners

Tu Nguyen, Cheng Li, Claudia Niederée

Recently a lot of progress has been made in rumor modeling and rumor detection for micro-blogging streams. However, existing automated methods do not perform very well for early ru…

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★ 7 cited

Can We Find Documents in Web Archives without Knowing their Contents?

Khoi Duy Vo, Tuan Tran, Tu Ngoc Nguyen +2

Recent advances of preservation technologies have led to an increasing number of Web archive systems and collections. These collections are valuable to explore the past of the Web,…

cs.AI2017★ 4 cited

Hedera: Scalable Indexing and Exploring Entities in Wikipedia Revision History

Tuan Tran, Tu Ngoc Nguyen

Much of work in semantic web relying on Wikipedia as the main source of knowledge often work on static snapshots of the dataset. The full history of Wikipedia revisions, while cont…