Mark Anderson

Orcid: 0000-0002-3104-4693

Affiliations:
  • University of A Coruña, Spain


According to our database1, Mark Anderson authored at least 14 papers between 2019 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2022
The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance.
Comput. Linguistics, 2022

Parsing linearizations appreciate PoS tags - but some are fussy about errors.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
Splitting EUD graphs into trees: A quick and clatty approach.
CoRR, 2021

A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing.
CoRR, 2021

A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021.
CoRR, 2021

John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs.
CoRR, 2021

What Taggers Fail to Learn, Parsers Need the Most.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

John praised Mary because _he_? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Inherent Dependency Displacement Bias of Transition-Based Algorithms.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Efficient EUD Parsing.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Distilling Neural Networks for Greener and Faster Dependency Parsing.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

On the Frailty of Universal POS Tags for Neural UD Parsers.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019
Artificially Evolved Chunks for Morphosyntactic Analysis.
CoRR, 2019


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