AMALGUM – A Free, Balanced, Multilayer English Web Corpus
Luke Gessler, Siyao Peng, Yang Liu, Yilun Zhu, Shabnam Behzad, Amir Zeldes
Correct Metadata for
Abstract
We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory. By tapping open online data sources the corpus is meant to offer a more sizable alternative to smaller manually created annotated data sets, while avoiding pitfalls such as imbalanced or unknown composition, licensing problems, and low-quality natural language processing. We harness knowledge from multiple annotation layers in order to achieve a “better than NLP” benchmark and evaluate the accuracy of the resulting resource.- Anthology ID:
- 2020.lrec-1.648
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5267–5275
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.648/
- DOI:
- Bibkey:
- Cite (ACL):
- Luke Gessler, Siyao Peng, Yang Liu, Yilun Zhu, Shabnam Behzad, and Amir Zeldes. 2020. AMALGUM – A Free, Balanced, Multilayer English Web Corpus. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5267–5275, Marseille, France. European Language Resources Association.
- Cite (Informal):
- AMALGUM – A Free, Balanced, Multilayer English Web Corpus (Gessler et al., LREC 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.lrec-1.648.pdf
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@inproceedings{gessler-etal-2020-amalgum,
title = "{AMALGUM} {--} A Free, Balanced, Multilayer {E}nglish Web Corpus",
author = "Gessler, Luke and
Peng, Siyao and
Liu, Yang and
Zhu, Yilun and
Behzad, Shabnam and
Zeldes, Amir",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.648/",
pages = "5267--5275",
language = "eng",
ISBN = "979-10-95546-34-4",
abstract = "We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory. By tapping open online data sources the corpus is meant to offer a more sizable alternative to smaller manually created annotated data sets, while avoiding pitfalls such as imbalanced or unknown composition, licensing problems, and low-quality natural language processing. We harness knowledge from multiple annotation layers in order to achieve a ``better than NLP'' benchmark and evaluate the accuracy of the resulting resource."
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%0 Conference Proceedings %T AMALGUM – A Free, Balanced, Multilayer English Web Corpus %A Gessler, Luke %A Peng, Siyao %A Liu, Yang %A Zhu, Yilun %A Behzad, Shabnam %A Zeldes, Amir %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Twelfth Language Resources and Evaluation Conference %D 2020 %8 May %I European Language Resources Association %C Marseille, France %@ 979-10-95546-34-4 %G eng %F gessler-etal-2020-amalgum %X We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory. By tapping open online data sources the corpus is meant to offer a more sizable alternative to smaller manually created annotated data sets, while avoiding pitfalls such as imbalanced or unknown composition, licensing problems, and low-quality natural language processing. We harness knowledge from multiple annotation layers in order to achieve a “better than NLP” benchmark and evaluate the accuracy of the resulting resource. %U https://aclanthology.org/2020.lrec-1.648/ %P 5267-5275
Markdown (Informal)
[AMALGUM – A Free, Balanced, Multilayer English Web Corpus](https://aclanthology.org/2020.lrec-1.648/) (Gessler et al., LREC 2020)
- AMALGUM – A Free, Balanced, Multilayer English Web Corpus (Gessler et al., LREC 2020)
ACL
- Luke Gessler, Siyao Peng, Yang Liu, Yilun Zhu, Shabnam Behzad, and Amir Zeldes. 2020. AMALGUM – A Free, Balanced, Multilayer English Web Corpus. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5267–5275, Marseille, France. European Language Resources Association.