Erenay Dayanik

According to our database1, Erenay Dayanik authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Between welcome culture and border fence.
Lang. Resour. Evaluation, March, 2023

2022
Challenges of computational social science analysis with NLP methods.
PhD thesis, 2022

Improving Neural Political Statement Classification with Class Hierarchical Information.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports.
CoRR, 2021

Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020
Analysis of Political Debates through Newspaper Reports: Methods and Outcomes.
Datenbank-Spektrum, 2020

DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Masking Actor Information Leads to Fairer Political Claims Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Morphological Analysis Using a Sequence Decoder.
Trans. Assoc. Comput. Linguistics, 2019

Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
MorphNet: A sequence-to-sequence model that combines morphological analysis and disambiguation.
CoRR, 2018

Tree-Stack LSTM in Transition Based Dependency Parsing.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018


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