Scholar
Adam Kovacs
Google Scholar ID: dptkPZsAAAAJ
Budapest University of Technology
Citations & Impact
Citations
82
H-index
6
i10-index
3
Publications
13
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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.
Co-authors