@inproceedings{dary-nasr-2021-reading,
title = "The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies",
author = "Dary, Franck and
Nasr, Alexis",
booktitle = "Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.iwpt-1.3",
doi = "10.18653/v1/2021.iwpt-1.3",
pages = "26--37",
abstract = "The Reading Machine, is a parsing framework that takes as input raw text and performs six standard nlp tasks: tokenization, pos tagging, morphological analysis, lemmatization, dependency parsing and sentence segmentation. It is built upon Transition Based Parsing, and allows to implement a large number of parsing configurations, among which a fully incremental one. Three case studies are presented to highlight the versatility of the framework. The first one explores whether an incremental parser is able to take into account top-down dependencies (i.e. the influence of high level decisions on low level ones), the second compares the performances of an incremental and a pipe-line architecture and the third quantifies the impact of the right context on the predictions made by an incremental parser.",
}
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%0 Conference Proceedings
%T The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies
%A Dary, Franck
%A Nasr, Alexis
%S Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F dary-nasr-2021-reading
%X The Reading Machine, is a parsing framework that takes as input raw text and performs six standard nlp tasks: tokenization, pos tagging, morphological analysis, lemmatization, dependency parsing and sentence segmentation. It is built upon Transition Based Parsing, and allows to implement a large number of parsing configurations, among which a fully incremental one. Three case studies are presented to highlight the versatility of the framework. The first one explores whether an incremental parser is able to take into account top-down dependencies (i.e. the influence of high level decisions on low level ones), the second compares the performances of an incremental and a pipe-line architecture and the third quantifies the impact of the right context on the predictions made by an incremental parser.
%R 10.18653/v1/2021.iwpt-1.3
%U https://aclanthology.org/2021.iwpt-1.3
%U https://doi.org/10.18653/v1/2021.iwpt-1.3
%P 26-37
Markdown (Informal)
[The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies](https://aclanthology.org/2021.iwpt-1.3) (Dary & Nasr, IWPT 2021)
ACL