RepLab 2014

RepLab is a competitive evaluation exercise for Online Reputation Management systems. In 2012 and 2013, RepLab focused on the problem of monitoring the reputation of (company) entities on Twitter, and dealt with the tasks of entity linking (“Is the tweet about the entity?”), reputation polarity (“Does the tweet have positive or negative implications for the entity’s reputation?”), topic detection (“What is the issue relative to the entity that is discussed in the tweet?”), and topic ranking (“Is the topic an alert that deserves immediate attention?”).

RepLab 2014 will again focus on Reputation Management on Twitter and will be addressing two new tasks, see below. We will use tweets in two languages: English and Spanish.

  1. The classification of tweets with respect to standard reputation dimensions such as Performance, Leadership, Innovation, etc.
  2. The classification of Twitter profiles (authors) with respect to a certain domain, classifying them as journalists, professionals, etc. Second, this task focuses on finding the opinion makers.

The second task is a part of the shared PAN-RepLab author profiling task. Besides the characterization of profiles from a reputation analysis perspective, participants can also attempt to classify authors by gender and age, which is the focus of PAN 2014.

Important dates:

  • March 1 – Training data released
  • March 17 – Test data released
  • May 5 – System results due

See http://nlp.uned.es/replab2014/ for more info and how to participate.

We’re now hiring next year’s interns!

I’m happy to announce that we have just opened up our applications for next year’s internships at Yahoo Labs in Barcelona. So, if you’re a PhD student in a related field, do consider applying. Especially if you’re interested in spending some time in sunny Barcelona and gaining research experience along the way, you’re more than welcome.

The application form can be found at http://comunicacio.barcelonamedia.org/yahoo/, the deadline is January 13th, 2014.

Do reach out if you have any questions!

Entity Linking and Retrieval Tutorial @ SIGIR 2013 – Slides, Code, and Bibliography

The material for our “Entity Linking and Retrieval” tutorial (with Krisztian Balog and Daan Odijk) for SIGIR 2013 has been updated and is available online on GitHub (slides), Dropbox (slides), Mendeley, and CodeAcademy. All material is summarized at the webpage for the tutorial: http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/. See my other blogpost for a brief summary.

Semantic TED

Multilingual Semantic Linking for Video Streams: Making “Ideas Worth Sharing” More Accessible

Semantic TEDThis paper describes our (winning!) submission to the Developers Challenge at WoLE2013, “Doing Good by Linking Entities.” We present a fully automatic system – called “Semantic TED” – which provides intelligent suggestions in the form of links to Wikipedia articles for video streams in multiple languages, based on the subtitles that accompany the visual content. The system is applied to online conference talks. In particular, we adapt a recently proposed semantic linking approach for streams of television broadcasts to facilitate generating contextual links while a TED talk is being viewed. TED is a highly popular global conference series covering many research domains; the publicly available talks have accumulated a total view count of over one billion at the time of writing. We exploit the multi-linguality of Wikipedia and the TED subtitles to provide contextual suggestions in the language of the user watching a video. In this way, a vast source of educational and intellectual content is disclosed to a broad audience that might otherwise experience difficulties interpreting it.

  • [PDF] D. Odijk, E. Meij, D. Graus, and T. Kenter, “Multilingual semantic linking for video streams: making “ideas worth sharing” more accessible,” in Proceedings of the 2nd international workshop on web of linked entities (wole 2013), 2013.
    [Bibtex]
    @inproceedings{WOLE:2013:Odijk,
    Author = {Odijk, Daan and Meij, Edgar and Graus, David and Kenter, Tom},
    Booktitle = {Proceedings of the 2nd International Workshop on Web of Linked Entities (WoLE 2013)},
    Date-Added = {2013-05-15 14:09:58 +0000},
    Date-Modified = {2013-05-15 14:11:37 +0000},
    Title = {Multilingual Semantic Linking for Video Streams: Making "Ideas Worth Sharing" More Accessible},
    Year = {2013}}
Example entity linking for tweets, to support tweets summarization

Personalized Time-Aware Tweets Summarization

To appear as full paper at SIGIR 2013.

In this paper we focus on selecting meaningful tweets given a user’s interests. Specifically, we consider the task of time-aware tweets summarization, based on a user’s history and collaborative social influences from “social circles.” Continue reading “Personalized Time-Aware Tweets Summarization” »