Preslav Nakov
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Bulgarian computer scientist
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Computer Science
Preslav Nakov's Degrees
- PhD Computer Science Sofia University
- Masters Computer Science Sofia University
- Bachelors Computer Science Sofia University
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Why Is Preslav Nakov Influential?
(Suggest an Edit or Addition)According to Wikipedia, Preslav Nakov is a computer scientist who works on natural language processing. He is particularly known for his research on fake news detection, automatic detection of offensive language, and biomedical text mining. Nakov obtained a PhD in computer science under the supervision of Marti Hearst from the University of California, Berkeley. He was the first person to receive the prestigious John Atanasov Presidential Award for achievements in the development of the information society by the President of Bulgaria.
Preslav Nakov's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- SemEval-2013 Task 2: Sentiment Analysis in Twitter (2013) (704)
- SemEval-2016 Task 4: Sentiment Analysis in Twitter (2016) (641)
- SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals (2010) (622)
- SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) (2019) (580)
- Predicting the Type and Target of Offensive Posts in Social Media (2019) (506)
- SemEval-2017 Task 4: Sentiment Analysis in Twitter (2017) (408)
- SemEval-2015 Task 10: Sentiment Analysis in Twitter (2015) (403)
- Overview of BioCreative II gene mention recognition (2008) (379)
- SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) (2020) (339)
- SemEval-2014 Task 9: Sentiment Analysis in Twitter (2014) (337)
- SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals (2009) (273)
- SemEval-2017 Task 3: Community Question Answering (2017) (203)
- SemEval-2007 Task 04: Classification of Semantic Relations between Nominals (2007) (203)
- SemEval-2016 Task 3: Community Question Answering (2019) (191)
- Fine-Grained Analysis of Propaganda in News Article (2019) (183)
- Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task (2016) (183)
- Predicting Factuality of Reporting and Bias of News Media Sources (2018) (170)
- Findings of the VarDial Evaluation Campaign 2017 (2017) (165)
- BioText Search Engine: beyond abstract search (2007) (158)
- SemEval-2015 Task 3: Answer Selection in Community Question Answering (2015) (151)
- A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines (2013) (150)
- FANG: Leveraging Social Context for Fake News Detection Using Graph Representation (2020) (145)
- Citances: Citation Sentences for Semantic Analysis of Bioscience Text (2004) (141)
- Weight functions impact on LSA performance (2001) (139)
- Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness (2018) (122)
- Finding Opinion Manipulation Trolls in News Community Forums (2015) (119)
- Integrating Stance Detection and Fact Checking in a Unified Corpus (2018) (114)
- Overview of the DSL Shared Task 2015 (2015) (114)
- SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification (2020) (112)
- Automatic Stance Detection Using End-to-End Memory Networks (2018) (108)
- Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign (2018) (108)
- SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles (2020) (107)
- In Search of Credible News (2016) (106)
- Compressing Large-Scale Transformer-Based Models: A Case Study on BERT (2020) (104)
- Proppy: Organizing the news based on their propagandistic content (2019) (103)
- Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages (2012) (103)
- Using Discourse Structure Improves Machine Translation Evaluation (2014) (100)
- Fully Automated Fact Checking Using External Sources (2017) (99)
- Unsupervised User Stance Detection on Twitter (2019) (98)
- Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing (2005) (97)
- Automated Fact-Checking for Assisting Human Fact-Checkers (2021) (97)
- A Survey on Computational Propaganda Detection (2020) (96)
- Poor Man's BERT: Smaller and Faster Transformer Models (2020) (96)
- That is a Known Lie: Detecting Previously Fact-Checked Claims (2020) (95)
- ClaimRank: Detecting Check-Worthy Claims in Arabic and English (2018) (86)
- Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (2016) (85)
- Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution (2005) (85)
- A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates (2017) (85)
- Solving Relational Similarity Problems Using the Web as a Corpus (2008) (82)
- Using Verbs to Characterize Noun-Noun Relations (2006) (80)
- Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages (2009) (78)
- Hunting for Troll Comments in News Community Forums (2016) (77)
- Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society (2020) (77)
- Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 2: Evidence and Factuality (2019) (76)
- Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation (2015) (75)
- Classification of semantic relations between nominals (2009) (74)
- Improving English-Spanish Statistical Machine Translation: Experiments in Domain Adaptation, Sentence Paraphrasing, Tokenization, and Recasing (2008) (74)
- Evaluation Measures for the SemEval-2016 Task 4 “Sentiment Analysis in Twitter” (Draft: Version 1.13) (2016) (73)
- Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media (2020) (72)
- On the interpretation of noun compounds: Syntax, semantics, and entailment (2013) (72)
- Fact Checking in Community Forums (2018) (70)
- Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study (2008) (69)
- SemEval-2013 Task 4: Free Paraphrases of Noun Compounds (2013) (69)
- Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms (2020) (66)
- Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages (2012) (64)
- Optimizing for Sentence-Level BLEU+1 Yields Short Translations (2012) (64)
- Fact-Checking Meets Fauxtography: Verifying Claims About Images (2019) (63)
- SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions (2010) (62)
- Adversarial Domain Adaptation for Duplicate Question Detection (2018) (61)
- A Survey on Stance Detection for Mis- and Disinformation Identification (2021) (60)
- The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News (2021) (60)
- QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English (2015) (59)
- SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums (2019) (57)
- Proppy: A System to Unmask Propaganda in Online News (2019) (56)
- SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings (2016) (54)
- Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction (2019) (54)
- Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness (2019) (53)
- Automatic Fact-Checking Using Context and Discourse Information (2019) (53)
- Semantic Relations Between Nominals (2013) (52)
- Predicting the Topical Stance and Political Leaning of Media using Tweets (2020) (52)
- UvA-DARE ( Digital Academic Repository ) Overview of BioCreative II gene mention recognition (2008) (51)
- Improved Statistical Machine Translation Using Monolingual Paraphrases (2008) (50)
- A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages (2010) (50)
- Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media (2019) (49)
- Global Thread-level Inference for Comment Classification in Community Question Answering (2015) (48)
- We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind! (2017) (46)
- Semantic interpretation of noun compounds using verbal and other paraphrases (2013) (46)
- CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media (2020) (46)
- Pairwise Neural Machine Translation Evaluation (2015) (45)
- Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection (2019) (44)
- Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media (2020) (42)
- DiscoTK: Using Discourse Structure for Machine Translation Evaluation (2014) (42)
- Exposing Paid Opinion Manipulation Trolls (2015) (42)
- We Can Detect Your Bias: Predicting the Political Ideology of News Articles (2020) (40)
- Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality (2018) (40)
- CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims (2019) (40)
- Thread-Level Information for Comment Classification in Community Question Answering (2015) (40)
- Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus (2011) (39)
- Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims (2021) (39)
- BulStem: Design and Evaluation of Inflectional Stemmer for Bulgarian (1998) (39)
- Detecting Propaganda Techniques in Memes (2021) (39)
- SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images (2021) (37)
- Seminar Users in the Arabic Twitter Sphere (2017) (37)
- MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets (2021) (36)
- Cross-language Learning with Adversarial Neural Networks (2017) (36)
- The dark side of news community forums: opinion manipulation trolls (2018) (36)
- BioText Team Report for the TREC 2003 Genomics Track (2003) (36)
- It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction (2019) (35)
- Contrastive Language Adaptation for Cross-Lingual Stance Detection (2019) (35)
- Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News (2021) (34)
- One Size Does Not Fit All: Comparing NMT Representations of Different Granularities (2019) (33)
- Detecting Harmful Memes and Their Targets (2021) (33)
- Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian (2012) (33)
- A Survey on Multimodal Disinformation Detection (2021) (32)
- What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context (2020) (32)
- Towards Deeper Understanding of the LSA Performance (2003) (31)
- Prta: A System to Support the Analysis of Propaganda Techniques in the News (2020) (31)
- Sentiment Analysis in Twitter for Macedonian (2015) (31)
- Cross-Language Question Re-Ranking (2017) (31)
- SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions (2009) (31)
- Machine Translation Evaluation Meets Community Question Answering (2016) (30)
- Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates (2021) (29)
- The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation - (Best of the Labs Track at CLEF-2017) (2017) (29)
- Machine Translation Evaluation with Neural Networks (2017) (29)
- Category-based Pseudowords (2003) (28)
- A study of using search engine page hits as a proxy for n-gram frequencies (2005) (27)
- Language-Independent Sentiment Analysis Using Subjectivity and Positional Information (2009) (27)
- Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields (2009) (26)
- SemEval-2007 Task 04: Classification of Semantic Relations between Nominals (2007) (26)
- Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection (2022) (26)
- Latent semantic analysis of textual data (2000) (26)
- Joint Learning with Global Inference for Comment Classification in Community Question Answering (2016) (25)
- The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection (2022) (25)
- Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training (2021) (24)
- Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media (2020) (24)
- SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering (2016) (24)
- Building an inflectional stemmer for Bulgarian (2003) (24)
- Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection (2021) (24)
- Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian (2015) (24)
- Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums (2017) (23)
- Towards Automated Customer Support (2018) (23)
- Translating from Morphologically Complex Languages: A Paraphrase-Based Approach (2011) (23)
- Source Language Adaptation for Resource-Poor Machine Translation (2012) (22)
- Natural language processing for similar languages, varieties, and dialects: A survey (2020) (22)
- QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation (2013) (22)
- Detecting Abusive Language on Online Platforms: A Critical Analysis (2021) (21)
- Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction (2017) (21)
- Predicting the Role of Political Trolls in Social Media (2019) (21)
- Guessing morphological classes of unknown German nouns (2003) (21)
- UCB: System Description for SemEval Task \#4 (2007) (20)
- Source Language Adaptation Approaches for Resource-Poor Machine Translation (2016) (20)
- On the effect of dropping layers of pre-trained transformer models (2020) (20)
- Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets (2013) (20)
- Do Peers See More in a Paper Than Its Authors? (2012) (19)
- Cross-Domain Label-Adaptive Stance Detection (2021) (18)
- Detecting and Understanding Harmful Memes: A Survey (2022) (18)
- Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications (2019) (18)
- Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (2019) (18)
- PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering (2016) (17)
- Adaptivity in Web-Based CALL (2002) (17)
- MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? (2016) (17)
- Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings (2018) (17)
- Discourse Structure in Machine Translation Evaluation (2017) (17)
- Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information (2019) (16)
- Detecting Deception in Political Debates Using Acoustic and Textual Features (2019) (16)
- Dense vs. Sparse Representations for News Stream Clustering (2019) (16)
- A Tale about PRO and Monsters (2013) (15)
- The Role of Context in Detecting Previously Fact-Checked Claims (2021) (15)
- Latent Semantic Analysis for German Literature Investigation (2001) (15)
- Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages (2021) (15)
- Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models (2020) (15)
- Tanbih: Get To Know What You Are Reading (2019) (15)
- Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian (2019) (14)
- Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection (2019) (14)
- Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates (2021) (14)
- It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering (2016) (14)
- Supporting Annotation Layers for Natural Language Processing (2005) (14)
- Unsupervised Extraction of False Friends from Parallel Bi-Texts Using the Web as a Corpus (2009) (14)
- Transformers: "The End of History" for NLP? (2021) (14)
- Combining Relational and Attributional Similarity for Semantic Relation Classification (2011) (13)
- A Survey on Predicting the Factuality and the Bias of News Media (2021) (13)
- SU@PAN'2016: Author Obfuscation (2016) (13)
- Experiments in Detecting Persuasion Techniques in the News (2019) (13)
- Interpretable Propaganda Detection in News Articles (2021) (12)
- Detecting Toxicity in News Articles: Application to Bulgarian (2019) (12)
- Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning (2020) (12)
- Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic (2022) (12)
- Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection (2020) (12)
- Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation (2014) (11)
- Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document (2021) (11)
- On the Impact of Seed Words on Sentiment Polarity Lexicon Induction (2016) (11)
- Predicting the Topical Stance of Media and Popular Twitter Users (2019) (11)
- Chapter 15 Getting Better Results With Latent Semantic Indexing (2000) (11)
- Semantic Sentiment Analysis of Twitter Data (2017) (10)
- FANG (2020) (10)
- Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering (2017) (10)
- The Spread of Propaganda by Coordinated Communities on Social Media (2021) (10)
- Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets (2022) (10)
- BioText Team Experiments for the TREC 2004 Genomics Track (2004) (10)
- Improved Word Alignments Using the Web as a Corpus (2007) (10)
- Can We Spot the "Fake News" Before It Was Even Written? (2020) (10)
- RuleBERT: Teaching Soft Rules to Pre-Trained Language Models (2021) (10)
- An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018 (2018) (10)
- Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes (2022) (9)
- Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims (2021) (9)
- Paraphrasing Verbs for Noun Compound Interpretation (2019) (9)
- BioText Report for the Second BioCreAtIvE Challenge (2007) (9)
- WhatTheWikiFact: Fact-Checking Claims Against Wikipedia (2021) (8)
- Large-Scale Goodness Polarity Lexicons for Community Question Answering (2017) (8)
- EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering (2020) (8)
- Experiments in Authorship-Link Ranking and Complete Author Clustering (2016) (8)
- Semantic Kernels for Semantic Parsing (2014) (8)
- DiscoMT 2015 Shared Task on Pronoun Translation (2016) (8)
- Learning to Differentiate Better from Worse Translations (2014) (8)
- High frequency characterization of medium voltage cables using time domain Reflectometry techniques (2001) (8)
- WERD: Using social text spelling variants for evaluating dialectal speech recognition (2017) (8)
- Transformers: "The End of History" for Natural Language Processing? (2021) (8)
- DIPS at CheckThat! 2021: Verified Claim Retrieval (2021) (8)
- Proceedings of the Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects (2015) (8)
- SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter (2014) (8)
- Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation (2022) (8)
- UCB System Description for the WMT 2007 Shared Task (2007) (8)
- A Neighborhood Framework for Resource-Lean Content Flagging (2021) (7)
- AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking (2021) (7)
- Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics (2017) (7)
- NUS at WMT09: Domain Adaptation Experiments for English-Spanish Machine Translation of News Commentary Text (2009) (7)
- Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, MWE@IJCNLP 2009, Singapore, August 6, 2009 (2009) (7)
- A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition (2019) (7)
- On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning (2020) (7)
- ИЗСЛЕДВАНЕ НА РУСКА ЛИТЕРАТУРА С ЛАТЕНТЕН СЕМАНТИЧЕН АНАЛИЗ Преслав И. Наков Софийски университет "Св. Климент Охридски" LATENT SEMANTIC ANALYSIS FOR RUSSIAN LITERATURE INVESTIGATION (2001) (7)
- DISARM: Detecting the Victims Targeted by Harmful Memes (2022) (7)
- Cross-lingual Adaptation as a Baseline: Adapting Maximum Entropy Models to Bulgarian (2009) (7)
- Computational semantic analysis of language: SemEval-2014 and beyond (2016) (6)
- PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling (2016) (6)
- Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots (2019) (6)
- Proceedings of the COLING Workshop on Multiword Expressions: from Theory to Applications (MWE 2010) (2010) (6)
- Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length (2015) (6)
- Web Personalization Using Extended Boolean Operations with Latent Semantic Indexing (2000) (6)
- Proceedings of the ACL 2011 Workshop on Relational Models of Semantics, RELMS@ACL 2011, Portland, Oregon, USA, June 23, 2011 (2011) (6)
- Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era (2020) (6)
- Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims (2022) (6)
- A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar (2021) (6)
- Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts (2016) (6)
- Scaling Up BioNLP : Application of a Text Annotation Architecture to Noun Compound Bracketing (2005) (5)
- Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018) (2016) (5)
- SU@PAN'2015: Experiments in Author Profiling (2015) (5)
- Towards deeper understanding and personalisation in CALL (2004) (5)
- Arabic community question answering (2019) (5)
- Towards deeper understanding of the latent semantic analysis performance (2003) (5)
- QCRI at WMT12: Experiments in Spanish-English and German-English Machine Translation of News Text (2012) (5)
- Sentiment Analysis in Twitter: A SemEval Perspective (2016) (5)
- A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling (2014) (5)
- Enabling Medical Translation for Low-Resource Languages (2016) (5)
- BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data (2021) (4)
- Towards Suicide Ideation Detection Through Online Conversational Context (2022) (4)
- Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 (2016) (4)
- What Is in a Translation Unit? Comparing Character and Subword Representations Beyond Translation (2018) (4)
- SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids (2016) (4)
- Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics (2019) (4)
- Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations (2022) (4)
- Tunable Domain-Independent Event Extraction in the MIRA Framework (2009) (4)
- COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing (2021) (4)
- PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training (2022) (4)
- An Interactive System for Exploring Community Question Answering Forums (2016) (4)
- Investigating the Degree of Adequacy of the Relations in the Concept Structure of Students using the Method of Latent Semantic Analysis (2001) (4)
- Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples (2013) (4)
- Non-Parametric Spam Filtering based on kNN and LSA (2005) (4)
- Recursive Style Breach Detection with Multifaceted Ensemble Learning (2018) (4)
- The NUS statistical machine translation system for IWSLT 2009 (2009) (4)
- We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale (2021) (3)
- Photovoltaics in Smart Buildings (2009) (3)
- Graph-based Methods for Natural Language Processing Introduction to Textgraphs-8 Jobimtext Visualizer: a Graph-based Approach to Contextualizing Distributional Similarity Reconstructing Big Semantic Similarity Networks from Global to Local Similarities: a Graph-based Contextualization Method Using D (2013) (3)
- Building a Named Entity Recognizer in Three Days: Application to Disease Name Recognition in Bulgarian Epicrises (2011) (3)
- MINESWEEPER, #MINESWEEPER (2003) (3)
- Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic (2021) (3)
- Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions (2014) (3)
- The Web as an Implicit Training Set: Application to Noun Compounds Syntax and Semantics (2015) (3)
- GREENER: Graph Neural Networks for News Media Profiling (2022) (3)
- EXTENDED BOOLEAN OPERATIONS IN LATENT SEMANTIC INDEXING SEARCH (2002) (3)
- Arts-SemNet: A Bilingual Semantic Network for Bulgarian and Russian Fine Arts Terminology (2003) (3)
- Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications (MWE 2009) (2009) (3)
- Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News (2019) (3)
- Fake News, Disinformation, Propaganda, and Media Bias (2021) (3)
- The Impact of the Segmentation on the Automatic Hyponyms Extraction from Terminological Dictionaries (2001) (3)
- Term and Document from the Point of View of the Latent Semantic Analysis (2001) (3)
- FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection (2022) (3)
- Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks (2021) (3)
- Morphological Analysis for Resource-Poor Machine Translation (2010) (2)
- On the semantics of noun compounds (2013) (2)
- TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification (2022) (2)
- IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017) (2017) (2)
- Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task (2017) (2)
- Automatic hyponymy extraction from Bulgarian and Russian terminological dictionaries (2001) (2)
- MorphoClass - Recognition and Morphological Classification of Unknown Words for German (2002) (2)
- ArtsSemNet : From Bilingual Dictionary to Bilingual Semantic Network (2003) (2)
- Leaf: Multiple-Choice Question Generation (2022) (2)
- Bi-text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation (2016) (2)
- Ending-Guessing Rules for Morphological Classification of German Nouns (2002) (2)
- SU@PAN'2015: Experiments in Author Verification (2015) (2)
- CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media (2022) (2)
- Generating Answer Candidates for Quizzes and Answer-Aware Question Generators (2021) (2)
- The architecture of corporate information and news engine (2003) (2)
- Negation and Modality in Machine Translation (2016) (2)
- Information Retrieval Technology : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings (2010) (1)
- THINK: Temporal Hypergraph Hyperbolic Network (2022) (1)
- The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority (2023) (1)
- Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. (2022) (1)
- Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic (2022) (1)
- The Battlefront of Combating Misinformation and Coping with Media Bias (2022) (1)
- QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media (2022) (1)
- Extracting Translation Lexicons from Bilingual Corpora : Application to South-Slavonic Languages (2007) (1)
- A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates (2019) (1)
- MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning (2023) (1)
- Web as a Corpus: Going Beyond the n-gram (2014) (1)
- Robust ending guessing rules with application to slavonic languages (2004) (1)
- Robust Tuning Datasets for Statistical Machine Translation (2017) (1)
- IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection (2022) (1)
- NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge (2021) (1)
- A Joint Model for Normalizing Gene and Organism Mentions in Text (2009) (1)
- Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels (2021) (1)
- Classification of Semantic Relations between Nominals : Description of Task 4 in SemEval-1 (2006) (1)
- Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? (2023) (0)
- Knowledge Graph Enhanced Relation Extraction (2021) (0)
- DiscoMT 2017 Shared Task on Cross-lingual Pronoun Prediction (2017) (0)
- Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts (2018) (0)
- Learning Semantic Relations from Text (2015) (0)
- Preface (2019) (0)
- Computational semantic analysis of language: SemEval-2014 and beyond (2016) (0)
- 3 Subtasks and Data Description SemEval-2019 Task 8 has two subtasks : • Subtask (2019) (0)
- Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications (2023) (0)
- The role of C-C motif chemokine ligand 7, C-C motif chemokine ligand 11 and interleukin-9 in T helper type 9 cell mediated neuronal damage (2019) (0)
- Proceedings of the IJCNLP 2017, Shared Tasks (2017) (0)
- Adaptation of Language Resources and Tools for Closely Related Languages and Language Variants Proceedings of the Adaptation of Language Resources and Tools for Closely Related Languages and Language Variants associated with The 9 th International Conference on Recent Advances (2013) (0)
- On the Instability of Using Search Engine Page Hits as a Proxy for n-gram Frequencies (2005) (0)
- Edinburgh Research Explorer Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation (2022) (0)
- Proceedings of The Second Workshop on Annotation and Exploitation of Parallel Corpora associated with The 8 th International Conference on Recent Advances in Natural Language Processing ( RANLP (2011) (0)
- Ten years after ImageNet: a 360° perspective on artificial intelligence (2023) (0)
- Ten Years after ImageNet: A 360{\deg} Perspective on AI (2022) (0)
- Edinburgh Research Explorer Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization (2022) (0)
- What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes (2022) (0)
- USING ACOUSTIC AND TEXTUAL FEATURES (2019) (0)
- Semantic Relations Between Nominals, Second Edition (2021) (0)
- WhatTheWikiFact (2021) (0)
- Cross-Language estion Re-Ranking (2017) (0)
- Accepted Tutorials at The Web Conference 2022 (2022) (0)
- Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications (2020) (0)
- Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks (2020) (0)
- Partisan US News Media Representations of Syrian Refugees (2022) (0)
- Paper Bullets: Modeling Propaganda with the Help of Metaphor (2023) (0)
- Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses (2023) (0)
- Utilizing Monolingual Gulf Arabic Data For Qatari Arabic-english Statistical Machine Translation (2014) (0)
- Ten Years after ImageNet: A 360° Perspective on AI (2022) (0)
- Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers (2016) (0)
- Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence (2023) (0)
- 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop (2013) (0)
- US News and Social Media Framing around Vaping (2022) (0)
- Reusing Parallel Corpora between Related Languages (2011) (0)
- Improving Neural Abstractive Summarization Using Transfer Learning and Factuality-Based Evaluation: Towards Automating Science Journalism (2019) (0)
- Flattening the Curve of the COVID-19 Infodemic: These Evaluation Campaigns Can Help! (2020) (0)
- UCB: System Description for SemEval Task #4 (2007) (0)
- Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search (2019) (0)
- Deep active learning for misinformation detection using geometric deep learning (2023) (0)
- Combining, Adapting and Reusing Bi-texts between Related Languages: Application to Statistical Machine Translation (invited talk) (2013) (0)
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