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Gábor Recski
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Journal Articles
- 2023
- [j2]Adam Kovacs
, Kinga Gémes
Explainable lexical entailment with semantic graphs. Nat. Lang. Eng. 29(5): 1223-1246 (2023) - 2014
- [j1]Gábor Recski:
Hungarian Noun Phrase Extraction Using Rule-based and Hybrid Methods. Acta Cybern. 21(3): 461-479 (2014)
Conference and Workshop Papers
- 2024
- [c23]Christian Obereder, Gábor Recski:
Word alignment in Discourse Representation Structure parsing. BBBBBBBBBB 2024: 50-56 - [c22]Varvara Arzt, Mohammad Mahdi Azarbeik
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection. SemEval@NAACL 2024: 1183-1196 - 2022
- [c21]Kinga Gémes
Offensive text detection across languages and datasets using rule-based and hybrid methods. CIKM Workshops 2022 - [c20]Ádám Kovács
POTATO: exPlainable infOrmation exTrAcTion framewOrk. CIKM 2022: 4897-4901 - 2021
- [c19]Johannes Bogensperger, Sven Schlarb
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets. W-NUT 2021: 137-157 - [c18]Richard Csaky, Gábor Recski:
The Gutenberg Dialogue Dataset. EACL 2021: 138-159 - [c17]Kinga Gémes
Offensive Text Detection on English Twitter with Deep Learning Models and Rule-Based Systems. FIRE (Working Notes) 2021: 283-296 - [c16]Gábor Recski
Explainable Rule Extraction via Semantic Graphs. ASAIL/LegalAIIA@ICAIL 2021: 24-35 - [c15]Kinga Gémes, Gábor Recski
TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments. GermEval@KONVENS 2021: 69-75 - 2020
- [c14]Tobias Fink, Gábor Recski, Allan Hanbury:
FIRE2020 AILA Track: Legal domain search with minimal domain knowledge. FIRE (Working Notes) 2020: 76-81 - [c13]Ádám Kovács, Judit Ács, András Kornai, Gábor Recski:
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. LREC 2020: 3635-3639 - [c12]Ádám Kovács, Kinga Gémes
BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs. SemEval@COLING 2020: 135-141 - 2019
- [c11]Richard Csaky
Improving Neural Conversational Models with Entropy-Based Data Filtering. ACL (1) 2019: 5650-5669 - [c10]Ádám Kovács
BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars. MSR@EMNLP-IJCNLP 2019: 35-40 - 2018
- [c9]Eszter Iklódi, Gábor Recski, Gábor Borbély, María José Castro Bleda:
Building a global dictionary for semantic technologies. IberSPEECH 2018: 286-290 - 2016
- [c8]András Kornai, Dávid Márk Nemeskey, Gábor Recski:
Detecting Optional Arguments of Verbs. LREC 2016 - [c7]Gábor Recski:
Building Concept Graphs from Monolingual Dictionary Entries. LREC 2016 - [c6]Gábor Recski
Measuring Semantic Similarity of Words Using Concept Networks. Rep4NLP@ACL 2016: 193-200 - 2015
- [c5]Gábor Recski
MathLingBudapest: Concept Networks for Semantic Similarity. SemEval@NAACL-HLT 2015: 138-142 - [c4]András Kornai, Judit Ács, Márton Makrai, Dávid Márk Nemeskey, Katalin Pajkossy, Gábor Recski
Competence in lexical semantics. *SEM@NAACL-HLT 2015: 165-175 - 2013
- [c3]András Kornai, Attila Zséder, Gábor Recski:
Structure Learning in Weighted Languages. MOL 2013: 72-82 - 2012
- [c2]Attila Zséder, Gábor Recski, Dániel Varga, András Kornai:
Rapid creation of large-scale corpora and frequency dictionaries. LREC 2012: 1462-1465 - 2010
- [c1]Gábor Recski, András Rung, Attila Zséder, András Kornai:
NP Alignment in Bilingual Corpora. LREC 2010
Informal and Other Publications
- 2023
- [i5]Tobias Fink, Gábor Recski, Wojciech Kusa, Allan Hanbury:
Statute-enhanced lexical retrieval of court cases for COLIEE 2022. CoRR abs/2304.08188 (2023) - 2022
- [i4]Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. CoRR abs/2201.13230 (2022) - 2020
- [i3]Richard Csaky
The Gutenberg Dialogue Dataset. CoRR abs/2004.12752 (2020) - 2019
- [i2]Richard Csaky, Patrik Purgai, Gábor Recski:
Improving Neural Conversational Models with Entropy-Based Data Filtering. CoRR abs/1905.05471 (2019) - 2010
- [i1]Dávid Nemeskey, Gábor Recski, Attila Zséder, András Kornai:
BUDAPESTACAD at TAC 2010. TAC 2010
Coauthor Index
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