Universal Word Segmentation: Implementation and Interpretation

Autor: Christian Hardmeier, Joakim Nivre, Yan Shao

Publikováno v: Shao, Y, Hardmeier, C & Nivre, J 2018, ' Universal Word Segmentation: Implementation and Interpretation ', Transactions of the Association for Computational Linguistics, vol. 6, pp. 421-435 . https://doi.org/10.1162/tacl_a_00033

Word segmentation is a low-level NLP task that is non-trivial for a considerable number of languages. In this paper, we present a sequence tagging framework and apply it to word segmentation for a wide range of languages with different writing system

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de6a90f1d26612ae95b0698e5f07e34
https://doi.org/10.1162/tacl_a_00033

The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task

Autor: Nikita Moghe, Christian Hardmeier, Rachel Bawden

Publikováno v: Proceedings of the 5th Conference on Machine Translation
5th Conference on Machine Translation
5th Conference on Machine Translation, Nov 2020, Online, Unknown Region
Moghe, N, Hardmeier, C & Bawden, R 2020, The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task . in Proceedings of the Fifth Conference on Machine Translation . pp. 473-478, Fifth Conference on Machine Translation, Online Conference, 19/11/20 . < https://www.aclweb.org/anthology/2020.wmt-1.58 >
HAL

International audience; This paper describes the joint submission of the University of Edinburgh and Uppsala University to the WMT'20 chat translation task for both language directions (English↔German). We use existing state-of-the-art machine tran

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::542af568cab72993aca040648281df66
https://hal.archives-ouvertes.fr/hal-02981159/document

Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019

Autor: Christian Hardmeier, Kellie Webster, Will Radford, Marta R. Costa-jussà

Publikováno v: Webster, K, Costa-jussà, M R, Hardmeier, C & Radford, W 2019, Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 . in Proceedings of the First Workshop on Gender Bias in Natural Language Processing . Florence, Italy, pp. 1-7, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28/07/19 . https://doi.org/10.18653/v1/W19-3801

The 1st ACL workshop on Gender Bias in Natural Language Processing included a shared task on gendered ambiguous pronoun (GAP) resolution. This task was based on the coreference challenge defined in Webster et al. (2018), designed to benchmark the abi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60c905fa688c9c9bb69c5006997916df
https://doi.org/10.18653/v1/w19-3801

Entity Decisions in Neural Language Modelling: Approaches and Problems

Autor: Christian Hardmeier, Jenny Kunz

Publikováno v: Kunz, J & Hardmeier, C 2019, Entity Decisions in Neural Language Modelling: Approaches and Problems . in Proceedings of the Second Workshop on Computational Models of Reference, Anaphora and Coreference : CRAC 2019 . Minneapolis, USA, pp. 15-19, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, United States, 2/06/19 . https://doi.org/10.18653/v1/W19-2803

We explore different approaches to explicit entity modelling in language models (LM). We independently replicate two existing models in a controlled setup, introduce a simplified variant of one of the models and analyze their performance in direct co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358cc6ef2478e970c8fa6ac446997c1b
https://doi.org/10.18653/v1/w19-2803

Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point

Autor: Liane Guillou, Christian Hardmeier

Publikováno v: EMNLP
Guillou, L & Hardmeier, C 2018, Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point . in 2018 Conference on Empirical Methods in Natural Language Processing . Brussels, Belgium, pp. 4797-4802, 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31/10/18 . < http://aclweb.org/anthology/D18-1513 >
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

We compare the performance of the APT and AutoPRF metrics for pronoun translation against a manually annotated dataset comprising human judgements as to the correctness of translations of the PROTEST test suite. Although there is some correlation wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35936b30d0ef2aff24591e3160093012
http://arxiv.org/abs/1808.04164