In the twelfth Web Search and Data Mining conference, held in Melbourne Australia between 11-16 of February, the Alexandria team and other L3S members presented their three research publications. WSDM is a highly selective conference with participation from major universities around the world and has an acceptance rate of only 16%.
The three works were on three diverse fields ranging from language bias, efficient training of word embeddings, and crowdsourcing.
- Christoph Hube and Besnik Fetahu: “Neural Based Statement Classification for Biased Language”.
- Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang: “Asynchronous Training of Word Embeddings for Large Text Corpora”
- Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini: “All Those Wasted Hours: On Task Abandonment in Crowdsourcing”
The works were well received by the community leading to many fruitful discussions during the poster session at WSDM.
The work in this project is funded by the