Dr. Nakov leads the Tanbih mega-project (http://tanbih.qcri.org), developed in collaboration with MIT. The project's aim is to build a news aggregator that limits the effect of fake news, propaganda and media bias by helping users step out of their bubble and achieve a healthy news diet. He is also the lead-PI of a QCRI-MIT collaboration project on Arabic Speech and Language Processing for Cross-Language Information Search and Fact Verification (co-PI, 2016-2018; Lead-PI, 2018-present), and he was a co-PI of another QCRI-MIT collaboration project on Speech and Language Processing for Arabic (2013-2016).
Dr. Nakov is Secretary of ACL SIGLEX and also a Secretary of ACL SIGSLAV. He is member of the editorial board of Transactions of the Association for Computational Linguistics (TACL), Computer Speech and Language (CSL), Natural Language Engineerng (NLE), AI Communications, and Frontiers in AI journals.
Dr. Nakov co-authored a Morgan & Claypool book on Semantic Relations between Nominals, two books on computer algorithms, and many research papers in top-tier conferences and journals. He received the Young Researcher Award at RANLP'2011. He was also the first to receive the Bulgarian President's John Atanasoff award, named after the inventor of the first automatic electronic digital computer.
Dr. Nakov's research was featured in over 100 news outlets, including Forbes, Boston Globe, Aljazeera, MIT Technology Review, Science Daily, Popular Science, Fast Company, The Register, WIRED, and Engadget, among others.
Qatar Computing Research Institute, HBKU (Senior Scientist: 2013-2018; Scientist: 2011-2013)
2011 - presentNational University of Singapore
2008 - 2011Sofia University
2008Bulgarian Academy of Sciences
2008University of California at Berkeley
2003 - 2007University of California at Berkeley
2007Sofia University
2001Proppy: A System to Unmask Propaganda in Online News; AAAI;
2019Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media; NAACL;
2019One Size Does Not Fit All: Comparing NMT Representations of Different Granularities; NAACL
2019CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims; ECIR
2019Automatic Fact Checking Using Context and Discourse Information; ACM Journal of Data and Information Quality (ACM JDIQ)
2019Arabic Community Question Answering; Natural Language Engineering
2019The dark side of news community forums: opinion manipulation trolls. Internet Research
2018Predicting Factuality of Reporting and Bias of News Media Sources; EMNLP
2018Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings; EMNLP
2018Adversarial Domain Adaptation for Duplicate Question Detection; EMNLP
2018ClaimRank: Detecting Check-Worthy Claims in Arabic and English; NAACL
2018Integrating Stance Detection and Fact Checking in a Unified Corpus; NAACL
2018Automatic Stance Detection Using End-to-End Memory Networks; NAACL
2018Fact Checking in Community Forums; AAAI
2018Discourse Structure in Machine Translation Evaluation; Computational Linguistics
2017Machine Translation Evaluation with Neural Networks; Computer Speech & Language
2017Cross-language Learning with Adversarial Neural Networks; CoNLL
2017Cross-Language Question Re-ranking; CoNLL
2017It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering; EMNLP
2016Machine Translation Evaluation Meets Community Question Answering; ACL
2016Joint Learning with Global Inference for Comment Classification in Community Question Answering; HLT-NAACL
2016Global Thread-level Inference for Comment Classification in Community Question Answering; EMNLP
2015Analyzing optimization for statistical machine translation: MERT learns verbosity, PRO learns length; CoNLL
2015Pairwise Neural Machine Translation Evaluation; ACL
2015Thread-Level Information for Comment Classification in Community Question Answering; ACL
2015Learning to Differentiate Better from Worse Translations; EMNLP
2014Semantic Kernels for Semantic Parsing; EMNLP
2014A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling; COLING
2014Using Discourse Structure Improves Machine Translation Evaluation; ACL
2014A Tale about PRO and Monsters; ACL
2013Optimizing for Sentence-Level BLEU+1 Yields Short Translations; COLING
2012Semantic relations between nominals; Synthesis Lectures on Human Language Technologies series (book); Morgan & Claypool Publishers