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- Andersson, EricUmeå universitet,Institutionen för datavetenskap,Foundations of Language Processing (author)
Generating semantic graph corpora with graph expansion grammar
- Article/chapterEnglish2023
Publisher, publication year, extent ...
- Open Publishing Association,2023
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:umu-212143
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-212143URI
- https://doi.org/10.4204/EPTCS.388.3DOI
Supplementary language notes
- Language:English
- Summary in:English
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Notes
- We introduce LOVELACE, a tool for creating corpora of semantic graphs.The system uses graph expansion grammar as a representational language, thus allowing users to craft a grammar that describes a corpus with desired properties. When given such grammar as input, the system generates a set of output graphs that are well-formed according to the grammar, i.e., a graph bank.The generation process can be controlled via a number of configurable parameters that allow the user to, for example, specify a range of desired output graph sizes.Central use cases are the creation of synthetic data to augment existing corpora, and as a pedagogical tool for teaching formal language theory.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Språkteknologi hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Language Technology hsv//eng
- semantic representation
- graph corpora
- graph grammar
- Computer Science
- datalogi
Added entries (persons, corporate bodies, meetings, titles ...)
- Björklund, Johanna,1961-Umeå universitet,Institutionen för datavetenskap,Foundations of Language Processing(Swepub:umu)joahog02 (author)
- Drewes, FrankUmeå universitet,Institutionen för datavetenskap,Foundations of Language Processing(Swepub:umu)frdr0001 (author)
- Jonsson, Anna,1992-Umeå universitet,Institutionen för datavetenskap,Foundations of Language Processing(Swepub:umu)anjo0409 (author)
- Umeå universitetInstitutionen för datavetenskap (creator_code:org_t)
Related titles
- In:13th International Workshop on Non-Classical Models of Automata and Applications (NCMA 2023): Open Publishing Association, s. 3-15
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