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Works (16)

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
2022-11 | Conference paper
URI:

https://aclanthology.org/2022.aacl-short.16
Contributors: Muñoz-Ortiz, Alberto; Anderson, Mark; Vilares, David; Gómez-Rodŕıguez, Carlos
Source: Self-asserted source
Mark Anderson

The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance

Computational Linguistics
2022-09 | Journal article
DOI: 10.1162/coli_a_00440
Part of ISSN: 0891-2017
Contributors: Anderson, Mark; Gómez-Rodríguez, Carlos
Source: Self-asserted source
Mark Anderson

Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences

To appear in proceedings of *SEM 2022: The Eleventh Joint Conference on Lexical and Computational Semantics
2022-07 | Conference paper
URI:

https://arxiv.org/abs/2205.07603
Contributors: Anderson, Mark; Camacho-Collados, Jose
Source: Self-asserted source
Mark Anderson

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

Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
2021 | Conference paper
DOI: 10.18653/v1/2021.iwpt-1.8
Source: Self-asserted source
Mark Anderson

A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021

Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
2021 | Conference paper
DOI: 10.18653/v1/2021.iwpt-1.12
Source: Self-asserted source
Mark Anderson

John praised Mary because _he_? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
2021 | Conference paper
DOI: 10.18653/v1/2021.findings-acl.429
Source: Self-asserted source
Mark Anderson

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 (Volume 2: Short Papers)
2021 | Conference paper
DOI: 10.18653/v1/2021.acl-short.138
Source: Self-asserted source
Mark Anderson

Splitting EUD Graphs into Trees: A Quick and Clatty Approach

Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
2021 | Conference paper
DOI: 10.18653/v1/2021.iwpt-1.17
Source: Self-asserted source
Mark Anderson

An Unsolicited Soliloquy on Dependency Parsing

2021-09 | Dissertation or Thesis
Source: Self-asserted source
Mark Anderson

What Taggers Fail to Learn, Parsers Need the Most

Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
2021-05 | Conference paper
URI:

https://aclanthology.org/2021.nodalida-main.31
Source: Self-asserted source
Mark Anderson

On the Frailty of Universal POS Tags for Neural UD Parsers

Proceedings of the 24th Conference on Computational Natural Language Learning
2020-11 | Conference paper
DOI: 10.18653/v1/2020.conll-1.6
Source: Self-asserted source
Mark Anderson

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
2020-07 | Conference paper
DOI: 10.18653/v1/2020.iwpt-1.2
Source: Self-asserted source
Mark Anderson

Efficient EUD Parsing

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
2020-07 | Conference paper
DOI: 10.18653/v1/2020.iwpt-1.20
Source: Self-asserted source
Mark Anderson

Inherent Dependency Displacement Bias of Transition-Based Algorithms

Proceedings of the 12th Language Resources and Evaluation Conference
2020-05 | Conference paper
Part of ISBN: 979-10-95546-34-4
Source: Self-asserted source
Mark Anderson

Artificially Evolved Chunks for Morphosyntactic Analysis

Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)
2019-08 | Conference paper
DOI: 10.18653/v1/W19-7815
Source: Self-asserted source
Mark Anderson

Beam spin asymmetry measurements for two pion photoproduction at CLAS

2015-12 | Dissertation or Thesis
URI:

https://theses.gla.ac.uk/6957/
Contributors: Mark Anderson
Source: Self-asserted source
Mark Anderson
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