Adam Kovacs
Scholar

Adam Kovacs

Google Scholar ID: dptkPZsAAAAJ
Budapest University of Technology
natural language processingsemantic parsinglexical inference
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
82
 
H-index
6
 
i10-index
3
 
Publications
13
 
Co-authors
0
 
Contact
CVOpen ↗GitHubOpen ↗
Resume
Academic Achievements
  • Published several papers, including:
  • - Explainable lexical entailment with semantic graphs (2022)
  • - Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods (2022)
  • - POTATO: exPlainable infOrmation exTrAcTion framewOrk (2022)
  • - Explainable Rule Extraction via Semantic Graphs (2021)
  • - Offensive text detection on English Twitter with deep learning models and rule-based systems (2021)
  • - BME-TUW at SR'20: Lexical grammar induction for surface realization (2020)
  • - BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs (2020)
  • - Better Together: Modern methods plus traditional thinking in NP alignment (2020)
  • - Using semantic graphs for explainable lexical entailment (2019)
Research Experience
  • As a teaching assistant, co-organizing and teaching NLP courses at BME and TU Wien:
  • - Python NLP 2021 spring at BME AUT
  • - NLP-IE 2022WS at TU Wien
  • Creator and collaborator of multiple open-source NLP projects, such as the POTATO framework, TUW-NLP library, and 4lang semantic parsing framework.
Education
  • Pursuing a Ph.D. at Budapest University of Technology and Economics.
Background
  • Full-time Project Assistant/Researcher. Currently pursuing his Ph.D. at Budapest University of Technology and Economics. Has 6 years of experience in building NLP applications, focusing on information extraction, lexical inference, and natural language understanding. Main research interests include semantic parsing and explainable methods in NLP.