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Gábor Recski

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2020 – today

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2024
[c23]
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Christian Obereder, Gábor Recski:
Word alignment in Discourse Representation Structure parsing. BBBBBBBBBB 2024: 50-56
[c22]
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Varvara Arzt, Mohammad Mahdi Azarbeik, Ilya Lasy, Tilman Kerl, Gábor Recski:
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection. SemEval@NAACL 2024: 1183-1196
2023
[j2]
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Adam Kovacs, Kinga Gémes, András Kornai, Gábor Recski:
Explainable lexical entailment with semantic graphs. Nat. Lang. Eng. 29(5): 1223-1246 (2023)
[i5]
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  - journals/corr/abs-2304-08188
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Tobias Fink, Gábor Recski, Wojciech Kusa, Allan Hanbury:
Statute-enhanced lexical retrieval of court cases for COLIEE 2022. CoRR abs/2304.08188 (2023)
2022
[c21]
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Kinga Gémes, Ádám Kovács, Gábor Recski:
Offensive text detection across languages and datasets using rule-based and hybrid methods. CIKM Workshops 2022
[c20]
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Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. CIKM 2022: 4897-4901
[i4]
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  - journals/corr/abs-2201-13230
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Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. CoRR abs/2201.13230 (2022)
2021
[c19]
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  - conf/aclnut/BogenspergerSHR21
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Johannes Bogensperger, Sven Schlarb, Allan Hanbury, Gábor Recski:
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets. W-NUT 2021: 137-157
[c18]
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Richard Csaky, Gábor Recski:
The Gutenberg Dialogue Dataset. EACL 2021: 138-159
[c17]
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Kinga Gémes, Ádám Kovács, Markus Reichel, Gábor Recski:
Offensive Text Detection on English Twitter with Deep Learning Models and Rule-Based Systems. FIRE (Working Notes) 2021: 283-296
[c16]
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Gábor Recski, Björn Lellmann, Ádám Kovács, Allan Hanbury:
Explainable Rule Extraction via Semantic Graphs. ASAIL/LegalAIIA@ICAIL 2021: 24-35
[c15]
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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]
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Tobias Fink, Gábor Recski, Allan Hanbury:
FIRE2020 AILA Track: Legal domain search with minimal domain knowledge. FIRE (Working Notes) 2020: 76-81
[c13]
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Ádám Kovács, Judit Ács, András Kornai, Gábor Recski:
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. LREC 2020: 3635-3639
[c12]
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Ádám Kovács, Kinga Gémes, András Kornai, Gábor Recski:
BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs. SemEval@COLING 2020: 135-141
[i3]
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  - journals/corr/abs-2004-12752
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Richard Csaky, Gábor Recski:
The Gutenberg Dialogue Dataset. CoRR abs/2004.12752 (2020)

2010 – 2019

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2019
[c11]
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Richard Csaky, Patrik Purgai, Gábor Recski:
Improving Neural Conversational Models with Entropy-Based Data Filtering. ACL (1) 2019: 5650-5669
[c10]
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Ádám Kovács, Evelin Ács, Judit Ács, András Kornai, Gábor Recski:
BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars. MSR@EMNLP-IJCNLP 2019: 35-40
[i2]
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  - journals/corr/abs-1905-05471
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Richard Csaky, Patrik Purgai, Gábor Recski:
Improving Neural Conversational Models with Entropy-Based Data Filtering. CoRR abs/1905.05471 (2019)
2018
[c9]
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Eszter Iklódi, Gábor Recski, Gábor Borbély, María José Castro Bleda:
Building a global dictionary for semantic technologies. IberSPEECH 2018: 286-290
2016
[c8]
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András Kornai, Dávid Márk Nemeskey, Gábor Recski:
Detecting Optional Arguments of Verbs. LREC 2016
[c7]
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Gábor Recski:
Building Concept Graphs from Monolingual Dictionary Entries. LREC 2016
[c6]
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Gábor Recski, Eszter Iklódi, Katalin Pajkossy, András Kornai:
Measuring Semantic Similarity of Words Using Concept Networks. Rep4NLP@ACL 2016: 193-200
2015
[c5]
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  - conf/semeval/RecskiA15
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Gábor Recski, Judit Ács:
MathLingBudapest: Concept Networks for Semantic Similarity. SemEval@NAACL-HLT 2015: 138-142
[c4]
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  - conf/starsem/KornaiAMNPR15
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András Kornai, Judit Ács, Márton Makrai, Dávid Márk Nemeskey, Katalin Pajkossy, Gábor Recski:
Competence in lexical semantics. *SEM@NAACL-HLT 2015: 165-175
2014
[j1]
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Gábor Recski:
Hungarian Noun Phrase Extraction Using Rule-based and Hybrid Methods. Acta Cybern. 21(3): 461-479 (2014)
2013
[c3]
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András Kornai, Attila Zséder, Gábor Recski:
Structure Learning in Weighted Languages. MOL 2013: 72-82
2012
[c2]
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Attila Zséder, Gábor Recski, Dániel Varga, András Kornai:
Rapid creation of large-scale corpora and frequency dictionaries. LREC 2012: 1462-1465
2010
[c1]
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Gábor Recski, András Rung, Attila Zséder, András Kornai:
NP Alignment in Bilingual Corpora. LREC 2010
[i1]
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Dávid Nemeskey, Gábor Recski, Attila Zséder, András Kornai:
BUDAPESTACAD at TAC 2010. TAC 2010

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