Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Karadzhov, Georgi"'
We explore different aspects of cognitive diversity and its effect on the success of group deliberation. To evaluate this, we use 500 dialogues from small, online groups discussing the Wason Card Selection task - the DeliData corpus. Leveraging the c
Externí odkaz:
http://arxiv.org/abs/2402.01427
People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational strategies where they try to convince each other of the best approach
Externí odkaz:
http://arxiv.org/abs/2207.12035
Autor:
Vachev, Kristiyan, Hardalov, Momchil, Karadzhov, Georgi, Georgiev, Georgi, Koychev, Ivan, Nakov, Preslav
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 address this challenge, we present Leaf, a system for generating multipl
Externí odkaz:
http://arxiv.org/abs/2201.09012
Autor:
Vachev, Kristiyan, Hardalov, Momchil, Karadzhov, Georgi, Georgiev, Georgi, Koychev, Ivan, Nakov, Preslav
Publikováno v:
RANLP-2021 (SRW)
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 automatic question generation has been proposed as a possible alternativ
Externí odkaz:
http://arxiv.org/abs/2108.12898
Group deliberation enables people to collaborate and solve problems, however, it is understudied due to a lack of resources. To this end, we introduce the first publicly available dataset containing collaborative conversations on solving a well-estab
Externí odkaz:
http://arxiv.org/abs/2108.05271
Autor:
Zampieri, Marcos, Nakov, Preslav, Rosenthal, Sara, Atanasova, Pepa, Karadzhov, Georgi, Mubarak, Hamdy, Derczynski, Leon, Pitenis, Zeses, Çöltekin, Çağrı
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zamp
Externí odkaz:
http://arxiv.org/abs/2006.07235
Autor:
Baly, Ramy, Karadzhov, Georgi, An, Jisun, Kwak, Haewoon, Dinkov, Yoan, Ali, Ahmed, Glass, James, Nakov, Preslav
Publikováno v:
ACL-2020
Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly important research direction. The present level of proliferation of fake, bias
Externí odkaz:
http://arxiv.org/abs/2005.04518
Publikováno v:
ACL-2021 (Findings)
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxonomy for offensive
Externí odkaz:
http://arxiv.org/abs/2004.14454
Autor:
Zhang, Yifan, Martino, Giovanni Da San, Barrón-Cedeño, Alberto, Romeo, Salvatore, An, Jisun, Kwak, Haewoon, Staykovski, Todor, Jaradat, Israa, Karadzhov, Georgi, Baly, Ramy, Darwish, Kareem, Glass, James, Nakov, Preslav
Publikováno v:
EMNLP-2019
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting,
Externí odkaz:
http://arxiv.org/abs/1910.02028
Autor:
Atanasova, Pepa, Nakov, Preslav, Màrquez, Lluís, Barrón-Cedeño, Alberto, Karadzhov, Georgi, Mihaylova, Tsvetomila, Mohtarami, Mitra, Glass, James
Publikováno v:
J. Data and Information Quality, Volume 11 Issue 3, July 2019, Article No. 12
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-worthy claims, and (ii) fact-checking claims. We develop supervised sys
Externí odkaz:
http://arxiv.org/abs/1908.01328