Aarne Talman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Iterative Refinement

Neural Network Model

Natural Language

Data Corruption

Top Venues

CLEF (Working Notes)

BlackboxNLP@ACL

Publications

Magnus Sahlgren, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Shorouq Zahra
ELOQUENT 2024 - Robustness Task. CLEF (Working Notes) (2024)
Risto Luukkonen, Jonathan Burdge, Elaine Zosa, Aarne Talman, Ville Komulainen, Väinö Hatanpää, Peter Sarlin, Sampo Pyysalo
Poro 34B and the Blessing of Multilinguality. CoRR (2024)
Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality. ECIR (5) (2024)
Janek Bevendorff, Matti Wiegmann, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Efstathios Stamatatos, Martin Potthast, Benno Stein
Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2024. CLEF (Working Notes) (2024)
Jussi Karlgren, Aarne Talman
ELOQUENT 2024 - Topical Quiz Task. CLEF (Working Notes) (2024)
Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. CoRR (2023)
Aarne Talman, Hande Çelikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging. NoDaLiDa (2023)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets. CoRR (2022)
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)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. NoDaLiDa (2021)
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. CoRR (2021)
Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. CoRR (2019)
Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. NODALIDA (2019)
Aarne Talman, Stergios Chatzikyriakidis
Testing the Generalization Power of Neural Network Models across NLI Benchmarks. BlackboxNLP@ACL (2019)
Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann
Sentence embeddings in NLI with iterative refinement encoders. Nat. Lang. Eng. 25 (4) (2019)
Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann
The University of Helsinki submissions to the WMT19 news translation task. CoRR (2019)
Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann
The University of Helsinki Submissions to the WMT19 News Translation Task. WMT (2) (2019)
Aarne Talman, Stergios Chatzikyriakidis
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference. CoRR (2018)
Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. CoRR (2018)