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    <titleInfo>
        <title>A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing</title>
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    <name type="personal">
        <namePart type="given">Amir</namePart>
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        <namePart type="given">Nick</namePart>
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    <name type="personal">
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        <namePart type="family">Ordan</namePart>
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    <name type="personal">
        <namePart type="given">Yifat</namePart>
        <namePart type="family">Ben Moshe</namePart>
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            <title>Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Yoav</namePart>
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            <namePart type="given">Yue</namePart>
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    <abstract>Foundational Hebrew NLP tasks such as segmentation, tagging and parsing, have relied to date on various versions of the Hebrew Treebank (HTB, Sima’an et al. 2001). However, the data in HTB, a single-source newswire corpus, is now over 30 years old, and does not cover many aspects of contemporary Hebrew on the web. This paper presents a new, freely available UD treebank of Hebrew stratified from a range of topics selected from Hebrew Wikipedia. In addition to introducing the corpus and evaluating the quality of its annotations, we deploy automatic validation tools based on grew (Guillaume, 2021), and conduct the first cross domain parsing experiments in Hebrew. We obtain new state-of-the-art (SOTA) results on UD NLP tasks, using a combination of the latest language modelling and some incremental improvements to existing transformer based approaches. We also release a new version of the UD HTB matching annotation scheme updates from our new corpus.</abstract>
    <identifier type="citekey">zeldes-etal-2022-second</identifier>
    <identifier type="doi">10.18653/v1/2022.emnlp-main.292</identifier>
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        <date>2022-12</date>
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%0 Conference Proceedings
%T A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing
%A Zeldes, Amir
%A Howell, Nick
%A Ordan, Noam
%A Ben Moshe, Yifat
%Y Goldberg, Yoav
%Y Kozareva, Zornitsa
%Y Zhang, Yue
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates
%F zeldes-etal-2022-second
%X Foundational Hebrew NLP tasks such as segmentation, tagging and parsing, have relied to date on various versions of the Hebrew Treebank (HTB, Sima’an et al. 2001). However, the data in HTB, a single-source newswire corpus, is now over 30 years old, and does not cover many aspects of contemporary Hebrew on the web. This paper presents a new, freely available UD treebank of Hebrew stratified from a range of topics selected from Hebrew Wikipedia. In addition to introducing the corpus and evaluating the quality of its annotations, we deploy automatic validation tools based on grew (Guillaume, 2021), and conduct the first cross domain parsing experiments in Hebrew. We obtain new state-of-the-art (SOTA) results on UD NLP tasks, using a combination of the latest language modelling and some incremental improvements to existing transformer based approaches. We also release a new version of the UD HTB matching annotation scheme updates from our new corpus.
%R 10.18653/v1/2022.emnlp-main.292
%U https://aclanthology.org/2022.emnlp-main.292
%U https://doi.org/10.18653/v1/2022.emnlp-main.292
%P 4331-4344

Markdown (Informal)

[A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://aclanthology.org/2022.emnlp-main.292) (Zeldes et al., EMNLP 2022)

• A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing (Zeldes et al., EMNLP 2022)

ACL

• Amir Zeldes, Nick Howell, Noam Ordan, and Yifat Ben Moshe. 2022. A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4331–4344, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.