Daniel Dakota

According to our database1, Daniel Dakota authored at least 13 papers between 2014 and 2023.

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Bibliography

2023
Bigfoot in Big Tech: Detecting Out of Domain Conspiracy Theories.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2022
Improving POS Tagging for Arabic Dialects on Out-of-Domain Texts.
Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

How to Parse a Creole: When Martinican Creole Meets French.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019
Investigating Multilingual Abusive Language Detection: A Cautionary Tale.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

2018
Practical Parsing for Downstream Applications.
Proceedings of the COLING 2018, 2018

2017
Non-Deterministic Segmentation for Chinese Lattice Parsing.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Towards Replicability in Parsing.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

The Devil is in the Details: Parsing Unknown German Words.
Proceedings of the Language Technologies for the Challenges of the Digital Age, 2017

2016
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Brown clustering for unlexicalized parsing.
Proceedings of the 13th Conference on Natural Language Processing, 2016

From Discourse Representation Structure to Event Semantics: A Simple Conversion?
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2014
"My Curiosity was Satisfied, but not in a Good Way": Predicting User Ratings for Online Recipes.
Proceedings of the Second Workshop on Natural Language Processing for Social Media, 2014


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