43 citations · 81 across the 19 of their papers we have counts for
23 papers · 1 filter
Post-OCR Text Correction for Bulgarian Historical Documents
Angel Beshirov, Milena Dobreva, Dimitar Dimitrov +3
The digitization of historical documents is crucial for preserving the cultural heritage of the society. An important step in this process is converting scanned images to text usin…
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media
Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev +2
While there has been substantial progress in developing systems to automate fact-checking, they still lack credibility in the eyes of the users. Thus, an interesting approach has e…
Leaf: Multiple-Choice Question Generation
Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov +3
Testing with quiz questions has proven to be an effective way to assess and improve the educational process. However, manually creating quizzes is tedious and time-consuming. To ad…
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov +9
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A…
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov +3
In education, open-ended quiz questions have become an important tool for assessing the knowledge of students. Yet, manually preparing such questions is a tedious task, and thus au…
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev +3
We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we des…