Automatic Extraction of Clausal Embedding Based on Large-Scale English Text Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AWDMXHBER" target="_blank" >RIV/00216208:11320/26:WDMXHBER - isvavai.cz</a>
Result on the web
<a href="https://arxiv.org/abs/2506.14064" target="_blank" >https://arxiv.org/abs/2506.14064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.48550/arXiv.2506.14064" target="_blank" >10.48550/arXiv.2506.14064</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Extraction of Clausal Embedding Based on Large-Scale English Text Data
Original language description
For linguists, embedded clauses have been of special interest because of their intricate distribution of syntactic and semantic features. Yet, current research relies on schematically created language examples to investigate these constructions, missing out on statistical information and naturally-occurring examples that can be gained from large language corpora. Thus, we present a methodological approach for detecting and annotating naturally-occurring examples of English embedded clauses in large-scale text data using constituency parsing and a set of parsing heuristics. Our tool has been evaluated on our dataset Golden Embedded Clause Set (GECS), which includes hand-annotated examples of naturally-occurring English embedded clause sentences. Finally, we present a large-scale dataset of naturally-occurring English embedded clauses which we have extracted from the open-source corpus Dolma using our extraction tool.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
arXiv preprint arXiv:2506.14064
ISSN
2331-8422
e-ISSN
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Volume of the periodical
2025
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1-11
UT code for WoS article
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EID of the result in the Scopus database
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