Jaspreet Singh, Johannes Hoffart and Avishek Anand
CIKM 2016 Full Paper
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
SIGIR 2016 Demo
Fernando Zeon Trevor, Jaspreet Singh and Avishek Anand
NTCIR12 2016 Full Paper
Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
CHIIR 2016 Full Paper
Johannes Hoffart, Dragan Milchevski, Gerhard Weikum, Avishek Anand, and Jaspreet Singh.
WWW 2016 Demo
Jaspreet Singh, Abhijit Anand, Vinay Setty, Avishek Anand
WebSci 2015 Poster
Jaspreet Singh, Zeon Trevor Fernando, Saniya Chawla
ISWC 2014 LinkedUp Workshop
Ivana Marenzi, Jaspreet Singh, Rahil Arora, Ankit Sharma, Philipp Kemkes, Sergej Zerr
ECTEL 2013 Demo
When exploring news archives, a key requirement of historians is to get an overview of their search results initially. To address this problem we developed a novel retrieval model - HistDiv - which ranks articles according to historical relevance. ArCHEE was designed to show how HistDiv and various other state-of-the-art retrieval models coupled with time-lines and entity filters can help users explore large news archives better.
Based on the recently published paper by Fetahu, Anand and Markert, we developed a simple interface to help curators identify potential Wikipedia articles (and the corresponding section) that need updating based on the current news.
Exploring a long running news story can be daunting when you have access to only a news archive. In this demo, we show the canonicalization of news articles from the GDelt dataset to a Wikipedia article about a long running news story and visualize the edit history in conjunction with the publication history of the retrieved articles to provide the user with new insights.
A flower based visualization of arbitrary structured text corpora. Assuming we can divide the text collection into categories, we generate and visualize the characteristic topics of each category, the general topics of the collection and topics that connect categories.
To showcase the HERE Maps JS API, we developed a gallery of examples and short demos. The idea of such a showcase was to give developers quick code snippets and previews for common use cases. The examples are loaded automatically from the continuously updated HERE Maps Examples repository.
LearnWeb is a search and sharing platform that has been developed by several students over the last couple of years at the L3S Research Center. As a bachelor thesis intern, research assistant and mentor, I've developed and overseen the addition of new features, UI enhancements, redesigns and code maintenance.
I help students with assignments and chip in with lectures too when required.
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Ph.D. in Information Retrieval mentored by Dr. A. Anand and Prof. W. Nejdl | 2015 - present |
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M.Sc. in Internet Technologies & Information Systems | 2012 - 2014 |
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B.Tech in Computer Science & Engineering | 2007 - 2011 |