31 citations · 65 across the 10 of their papers we have counts for
10 papers
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks
Alexander Braylan, Omar Alonso, Matthew Lease
When annotators label data, a key metric for quality assurance is inter-annotator agreement (IAA): the extent to which annotators agree on their labels. Though many IAA measures ex…
Local versus Global Strategies in Social Query Expansion
Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay
Link sharing in social media can be seen as a collaboratively retrieved set of documents for a query or topic expressed by a hashtag. Temporal information plays an important role f…
Scalable Knowledge Graph Construction from Twitter
Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay
We describe a knowledge graph derived from Twitter data with the goal of discovering relationships between people, links, and topics. The goal is to filter out noise from Twitter a…
Label Visualization and Exploration in IR
Omar Alonso
There is a renaissance in visual analytics systems for data analysis and sharing, in particular, in the current wave of big data applications. We introduce RAVE, a prototype that a…
How Many Workers to Ask? Adaptive Exploration for Collecting High Quality Labels
Ittai Abraham, Omar Alonso, Vasilis Kandylas +3
Crowdsourcing has been part of the IR toolbox as a cheap and fast mechanism to obtain labels for system development and evaluation. Successful deployment of crowdsourcing at scale…
A Study on Placement of Social Buttons in Web Pages
Omar Alonso, Vasilis Kandylas
With the explosion of social media in the last few years, web pages nowadays include different social network buttons where users can express if they support or recommend content.…
CrowdSTAR: A Social Task Routing Framework for Online Communities
Besmira Nushi, Omar Alonso, Martin Hentschel +1
The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to…
A Data Management Approach for Dataset Selection Using Human Computation
Alexandros Ntoulas, Omar Alonso, Vasilis Kandylas
As the number of applications that use machine learning algorithms increases, the need for labeled data useful for training such algorithms intensifies. Getting labels typically in…
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
Ittai Abraham, Omar Alonso, Vasilis Kandylas +1
Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applications such as information retrie…
User Taglines: Alternative Presentations of Expertise and Interest in Social Media
Hemant Purohit, Alex Dow, Omar Alonso +2
Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Tw…