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Preslav Ivanov Nakov
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- affiliation: Qatar Computing Research Institute
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2020 – today
- 2022
[c203]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. ECIR (2) 2022: 321-328- [c202]Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Javier Beltrán:
The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. ECIR (2) 2022: 416-428 - [c201]Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631 - [c200]Preslav Nakov, Giovanni Da San Martino, Firoj Alam:
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. WSDM 2022: 1632-1634 - [i142]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. CoRR abs/2201.09012 (2022) - [i141]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR abs/2203.05386 (2022) - [i140]Preslav Nakov, Firoj Alam, Yifan Zhang, Animesh Prakash, Fahim Dalvi:
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media. CoRR abs/2204.03506 (2022) - [i139]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i138]Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations. CoRR abs/2205.04402 (2022) - [i137]Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification. CoRR abs/2205.04404 (2022) - 2021
- [b2]Vivi Nastase, Stan Szpakowicz, Preslav Nakov, Diarmuid Ó Séaghdha:
Semantic Relations Between Nominals, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, pp. 1-234 - [c199]Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic:
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI 2021: 12728-12737 - [c198]Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. ACL/IJCNLP (Findings) 2021: 915-928 - [c197]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796 - [c196]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. ACL/IJCNLP (1) 2021: 6603-6617 - [c195]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CIKM 2021: 4690-4695 - [c194]Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, and Media Bias. CIKM 2021: 4862-4865 - [c193]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß
, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CLEF 2021: 264-291 - [c192]Shaden Shaar, Maram Hasanain, Bayan Hamdan, Zien Sheikh Ali, Fatima Haouari, Alex Nikolov, Mücahid Kutlu, Yavuz Selim Kartal, Firoj Alam, Giovanni Da San Martino, Alberto Barrón-Cedeño, Rubén Míguez, Javier Beltrán, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates. CLEF (Working Notes) 2021: 369-392 - [c191]Shaden Shaar, Fatima Haouari, Watheq Mansour, Maram Hasanain, Nikolay Babulkov, Firoj Alam, Giovanni Da San Martino, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates. CLEF (Working Notes) 2021: 393-405 - [c190]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims. CLEF (Working Notes) 2021: 484-493 - [c189]Simona Mihaylova, Iva Borisova, Dzhovani Chemishanov, Preslav Hadzhitsanev, Momchil Hardalov, Preslav Nakov:
DIPS at CheckThat! 2021: Verified Claim Retrieval. CLEF (Working Notes) 2021: 558-571 - [c188]Beata Skuczynska, Shaden Shaar, Jennifer Spenader, Preslav Nakov:
BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data. CLEF (Working Notes) 2021: 639-647 - [c187]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl:
The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. ECIR (2) 2021: 639-649 - [c186]Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. EMNLP (Findings) 2021: 611-649 - [c185]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. EMNLP (1) 2021: 1460-1476 - [c184]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455 - [c183]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. EMNLP (1) 2021: 9011-9028 - [c182]Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. ICWSM 2021: 913-922 - [c181]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. IJCAI 2021: 4551-4558 - [c180]Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. KDD 2021: 4054-4055 - [c179]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for Natural Language Processing? ECML/PKDD (3) 2021: 677-693 - [c178]Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels. RANLP 2021: 182-189 - [c177]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing. RANLP 2021: 997-1009 - [c176]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar. RANLP 2021: 1010-1021 - [c175]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. RANLP 2021: 1597-1605 - [c174]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. SemEval@ACL/IJCNLP 2021: 70-98 - [e18]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer, Tommi Jauhiainen:
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2021, Kiyv, Ukraine, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-12-1 [contents] - [i136]Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. CoRR abs/2103.00153 (2021) - [i135]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. CoRR abs/2103.00242 (2021) - [i134]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. CoRR abs/2103.07769 (2021) - [i133]Preslav Nakov, Husrev Taha Sencar, Jisun An, Haewoon Kwak:
A Survey on Predicting the Factuality and the Bias of News Media. CoRR abs/2103.12506 (2021) - [i132]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i131]Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighbourhood Framework for Resource-Lean Content Flagging. CoRR abs/2103.17055 (2021) - [i130]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. CoRR abs/2104.07423 (2021) - [i129]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. CoRR abs/2104.07467 (2021) - [i128]Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov:
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking. CoRR abs/2104.13559 (2021) - [i127]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for NLP? CoRR abs/2105.00813 (2021) - [i126]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CoRR abs/2105.00826 (2021) - [i125]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. CoRR abs/2105.09284 (2021) - [i124]Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels. CoRR abs/2108.12519 (2021) - [i123]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. CoRR abs/2108.12802 (2021) - [i122]Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators. CoRR abs/2108.12898 (2021) - [i121]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021) - [i120]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR abs/2109.06050 (2021) - [i119]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. CoRR abs/2109.07410 (2021) - [i118]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. CoRR abs/2109.08013 (2021) - [i117]Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar. CoRR abs/2109.11372 (2021) - [i116]Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman:
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection. CoRR abs/2109.12986 (2021) - [i115]Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CoRR abs/2109.12987 (2021) - [i114]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBert: Teaching Soft Rules to Pre-trained Language Models. CoRR abs/2109.13006 (2021) - [i113]Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. CoRR abs/2109.13046 (2021) - [i112]Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. CoRR abs/2109.13723 (2021) - [i111]Preslav Nakov, Hwee Tou Ng:
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. CoRR abs/2109.13724 (2021) - [i110]Dame Jovanoski, Veno Pachovski, Preslav Nakov:
Sentiment Analysis in Twitter for Macedonian. CoRR abs/2109.13725 (2021) - [i109]Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. CoRR abs/2109.13726 (2021) - [i108]Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims. CoRR abs/2109.15118 (2021) - [i107]Preslav Nakov:
Improved statistical machine translation using monolingual paraphrases. CoRR abs/2109.15119 (2021) - [i106]Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering. CoRR abs/2109.15120 (2021) - [i105]Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. CoRR abs/2109.15121 (2021) - [i104]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. CoRR abs/2110.00413 (2021) - [i103]Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov:
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks. CoRR abs/2110.15725 (2021) - 2020
- [j20]Marcos Zampieri, Preslav Nakov, Yves Scherrer:
Natural language processing for similar languages, varieties, and dialects: A survey. Nat. Lang. Eng. 26(6): 595-612 (2020) - [c173]Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. ACL (demo) 2020: 287-293 - [c172]Peter Stefanov, Kareem Darwish, Atanas Atanasov, Preslav Nakov:
Predicting the Topical Stance and Political Leaning of Media using Tweets. ACL 2020: 527-537 - [c171]Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov:
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. ACL 2020: 3364-3374 - [c170]Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. ACL 2020: 3607-3618 - [c169]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM 2020: 1165-1174 - [c168]Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media. CLEF 2020: 215-236 - [c167]Maram Hasanain, Fatima Haouari, Reem Suwaileh, Zien Sheikh Ali, Bayan Hamdan, Tamer Elsayed, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020 - [c166]Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CLEF (Working Notes) 2020 - [c165]Shaden Shaar, Alex Nikolov, Nikolay Babulkov, Firoj Alam, Alberto Barrón-Cedeño, Tamer Elsayed, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020 - [c164]Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. ECIR (2) 2020: 499-507 - [c163]Preslav Nakov, Giovanni Da San Martino:
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era. EMNLP (Tutorial Abstracts) 2020: 7-19 - [c162]Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. EMNLP (1) 2020: 4982-4991 - [c161]Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering. EMNLP (1) 2020: 5427-5444 - [c160]Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing:
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) 2020: 7975-7984 - [c159]Preslav Nakov:
Flattening the Curve of the COVID-19 Infodemic: These Evaluation Campaigns Can Help! EVALITA 2020 - [c158]Kareem Darwish, Peter Stefanov, Michaël J. Aupetit, Preslav Nakov:
Unsupervised User Stance Detection on Twitter. ICWSM 2020: 141-152 - [c157]Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. IJCAI 2020: 4826-4832 - [c156]Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. SemEval@COLING 2020: 1377-1414 - [c155]Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). SemEval@COLING 2020: 1425-1447 - [c154]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. SemEval@COLING 2020: 1462-1468 - [e17]Emiliano De Cristofaro, Preslav Nakov:
Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), Virtual, October 15-17, 2020. Hacks Hackers 2020, ISBN 978-1-7359904-0-8 [contents] - [e16]Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer:
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2020, Barcelona, Spain (Online), December 13, 2020. International Committee on Computational Linguistics (ICCL) 2020, ISBN 978-1-952148-47-7 [contents] - [i102]Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. CoRR abs/2001.08546 (2020) - [i101]Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. CoRR abs/2002.11985 (2020) - [i100]Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
Poor Man's BERT: Smaller and Faster Transformer Models. CoRR abs/2004.03844 (2020) - [i99]Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. CoRR abs/2004.14454 (2020) - [i98]Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. CoRR abs/2004.14848 (2020) - [i97]Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. CoRR abs/2005.00033 (2020) - [i96]Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov:
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. CoRR abs/2005.04518 (2020) - [i95]Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. CoRR abs/2005.05854 (2020) - [i94]Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. CoRR abs/2005.06058 (2020) - [i93]Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). CoRR abs/2006.07235 (2020) - [i92]Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. CoRR abs/2007.07996 (2020) - [i91]Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media. CoRR abs/2007.07997 (2020) - [i90]Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. CoRR abs/2007.08024 (2020) - [i89]Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic:
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. CoRR abs/2007.09456 (2020) - [i88]Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. CoRR abs/2008.02837 (2020) - [i87]Preslav Nakov:
Can We Spot the "Fake News" Before It Was Even Written? CoRR abs/2008.04374 (2020) - [i86]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR abs/2008.07939 (2020) - [i85]Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. CoRR abs/2009.02696 (2020) - [i84]Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CoRR abs/2009.02931 (2020) - [i83]Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. CoRR abs/2010.05338 (2020) - [i82]