@inproceedings{eichler-etal-2019-linspector,
title = "{LINSPECTOR} {WEB}: A Multilingual Probing Suite for Word Representations",
author = {Eichler, Max and
{\c{S}}ahin, G{\"o}zde G{\"u}l and
Gurevych, Iryna},
editor = "Pad{\'o}, Sebastian and
Huang, Ruihong",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-3022",
doi = "10.18653/v1/D19-3022",
pages = "127--132",
abstract = "We present LINSPECTOR WEB , an open source multilingual inspector to analyze word representations. Our system provides researchers working in low-resource settings with an easily accessible web based probing tool to gain quick insights into their word embeddings especially outside of the English language. To do this we employ 16 simple linguistic probing tasks such as gender, case marking, and tense for a diverse set of 28 languages. We support probing of static word embeddings along with pretrained AllenNLP models that are commonly used for NLP downstream tasks such as named entity recognition, natural language inference and dependency parsing. The results are visualized in a polar chart and also provided as a table. LINSPECTOR WEB is available as an offline tool or at \url{https://linspector.ukp.informatik.tu-darmstadt.de}.",
}
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%0 Conference Proceedings
%T LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
%A Eichler, Max
%A Şahin, Gözde Gül
%A Gurevych, Iryna
%Y Padó, Sebastian
%Y Huang, Ruihong
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F eichler-etal-2019-linspector
%X We present LINSPECTOR WEB , an open source multilingual inspector to analyze word representations. Our system provides researchers working in low-resource settings with an easily accessible web based probing tool to gain quick insights into their word embeddings especially outside of the English language. To do this we employ 16 simple linguistic probing tasks such as gender, case marking, and tense for a diverse set of 28 languages. We support probing of static word embeddings along with pretrained AllenNLP models that are commonly used for NLP downstream tasks such as named entity recognition, natural language inference and dependency parsing. The results are visualized in a polar chart and also provided as a table. LINSPECTOR WEB is available as an offline tool or at https://linspector.ukp.informatik.tu-darmstadt.de.
%R 10.18653/v1/D19-3022
%U https://aclanthology.org/D19-3022
%U https://doi.org/10.18653/v1/D19-3022
%P 127-132
Markdown (Informal)
[LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations](https://aclanthology.org/D19-3022) (Eichler et al., EMNLP-IJCNLP 2019)
ACL
- Max Eichler, Gözde Gül Şahin, and Iryna Gurevych. 2019. LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 127–132, Hong Kong, China. Association for Computational Linguistics.