Richárd Farkas
- Artificial Intelligence top 1%
- Topic Modeling 46
- Natural Language Processing Techniques 36
- Advanced Text Analysis Techniques 12
- Text Readability and Simplification 9
- Sentiment Analysis and Opinion Mining 6
- Semantic Web and Ontologies 5
- Speech and dialogue systems 4
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- Biomedical Text Mining and Ontologies 14
Richárd Farkas
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 1.2k
- Health Information Management 118
- Molecular Biology 525
- Health Informatics 9
- Management Science and Operations Research 64
Countries citing papers authored by Richárd Farkas
This map shows the geographic impact of Richárd Farkas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richárd Farkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richárd Farkas more than expected).
Fields of papers citing papers by Richárd Farkas
This network shows the impact of papers produced by Richárd Farkas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richárd Farkas. The network helps show where Richárd Farkas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richárd Farkas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SzegedKoref: A Hungarian Coreference Corpus | 2018 | 3 |
| 2 | Szeged Corpus 2.5: Morphological Modifications in a Manually POS-tagged Hungarian Corpus | 2014 | 2 |
| 3 | Identifying English and Hungarian Light Verb Constructions: A Contrastive Approach | 2013 | 6 |
| 4 | Full-coverage Identification of English Light Verb Constructions | 2013 | 7 |
| 5 | Filtering and Polarity Detection for Reputation Management on Tweets | 2013 | 10 |
| 6 | magyarlanc: A Tool for Morphological and Dependency Parsing of Hungarian | 2013 | 31 |
| 7 | Extracción de palabras clave de documentos individuales para extracción de palabras clave de documentos múltiples | 2013 | 0 |
| 8 | Forest Reranking through Subtree Ranking | 2012 | 4 |
| 9 | Dependency Parsing of Hungarian: Baseline Results and Challenges | 2012 | 12 |
| 10 | Stacking of Dependency and Phrase Structure Parsers | 2012 | 6 |
| 11 | Data-driven Multilingual Coreference Resolution using Resolver Stacking | 2012 | 22 |
| 12 | Data-driven Dependency Parsing With Empty Heads | 2012 | 8 |
| 13 | Features for Phrase-Structure Reranking from Dependency Parses | 2011 | 9 |
| 14 | Novel balanced feature representation for wikipedia vandalism detection task: Lab report for PAN at CLEF 2010 | 2010 | 1 |
| 15 | Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task | 2010 | 16 |
| 16 | Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and Bio-Scope corpora | 2010 | 4 |
| 17 | The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text | 2010 | 173 |
| 18 | Sentence alignment of Hungarian-English parallel corpora using a hybrid algorithm | 2008 | 8 |
| 19 | Hungarian Word-Sense Disambiguated Corpus. | 2008 | 3 |
| 20 | 2007 | 67 |
About Richárd Farkas
Richárd Farkas is a scholar working on Artificial Intelligence, Language and Linguistics, Health Information Management, Molecular Biology and Computer Science Applications, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (46 papers), Natural Language Processing Techniques (36 papers), Biomedical Text Mining and Ontologies (14 papers), Advanced Text Analysis Techniques (12 papers), Text Readability and Simplification (9 papers), Sentiment Analysis and Opinion Mining (6 papers), Semantic Web and Ontologies (5 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Health Information Management (118 citations), Molecular Biology (525 citations), Health Informatics (9 citations) and Management Science and Operations Research (64 citations). Richárd Farkas has collaborated with scholars based in Hungary, Germany and Slovakia. Frequent co-authors include György Szarvas, Veronika Vincze, János Csirik, György Móra, Róbert Busa‐Fekete, Bernd Bohnet, Helmut Schmid, Anders Björkelund, Gábor Berend and Igor Boguslavsky. Their work appears in journals such as Language Resources and Evaluation, BMC Bioinformatics, Journal of the American Medical Informatics Association, Computational Linguistics and Transactions of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.