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Stergios Chatzikyriakidis
Publications
- 2022
[c20]Aarne Talman, Marianna Apidianaki
, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. *SEM@NAACL-HLT 2022: 226-233
[i5]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. CoRR abs/2201.04467 (2022)- 2021
[c19]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. NoDaLiDa 2021: 276-287
[i4]Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann:
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. CoRR abs/2104.04751 (2021)- 2019
[c17]Aarne Talman, Stergios Chatzikyriakidis:
Testing the Generalization Power of Neural Network Models across NLI Benchmarks. BlackboxNLP@ACL 2019: 85-94- 2018
[i2]Aarne Talman, Stergios Chatzikyriakidis:
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference. CoRR abs/1810.09774 (2018)

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last updated on 2026-02-17 22:43 CET by the dblp team
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