Natural Language 2 Semantic Hypergraph Dataset NL2SH 1.0

  Avtorji

Žitko, Branko ; Gašpar, Angelina ; Bročić, Lucija and Vasić, Daniel

  Identifikator vnosa

http://hdl.handle.net/11356/1822

 URL projekta

https://www.acnltutor.net

 Demo URL

https://github.com/bzitko/nl2sh_repo

 Datum objave

2023-04-24

 Vrsta

corpus, text

 Velikost

664 sentences, 6851 tokens, 5968 words

 Jezik(i)

English

 Opis

NL2SH (Natural Language to Semantic Hypergraph) dataset can be used to build and evaluate methods for knowledge extraction and representation based on a semantic hypergraph. Each sentence has natural language annotations and dedicated semantic hyperedge. Majority of the sentences used in this dataset are taken from the following sources: * John Eastwood, Oxford Guide to English Grammar, Oxford University Press, 2002. * Andrew Redford, An Introduction to English Sentence Structure, Cambridge University Press, 2009. * Essential English Grammar, Philip Gucker, Dover Publications, Inc. New York, 1966 Natural language annotations are: * sent_i - id of the sentence * tok_i - id of the token in the sentence * word - token text * space - does space follows the token * lemma - lemma of the token * pos - Universal POS tags (https://universaldependencies.org/u/pos/) * tag - Penn Treebank tags (https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html) * dep - ClearNLP depedency labels (https://github.com/clir/clearnlp-guidelines/blob/master/md/specifications/dependency_labels.md) * head - id of the token which is a dependency head of the current token * ner - named entities (https://catalog.ldc.upenn.edu/docs/LDC2013T19/OntoNotes-Release-5.0.pdf) * roleset - roleset of a verb frame (https://propbank.github.io/v3.4.0/frames/) * srl - semantic role labels with IOB annotation (https://verbs.colorado.edu/propbank/EPB-Annotation-Guidelines.pdf) * coref - coreference labels with IOB annotation * synset - WordNet's synsets (https://wordnet.princeton.edu) The annotations for semantic hypergraph elements primarily adhere to the annotation guidelines of the Graphbrain project (https://graphbrain.net/manual/notation.html). However, atom annotations are modified and at the end contains: * label, * type and optional subtype, * type specific atom roles, * type specific additional information, * named entity

 Izdajatelj

Faculty of Science University of Split

 Zahvala

Office of Naval Research N00014-20-1-2066 "Enhancing Adaptive Courseware based on Natural Language Processing"

 Ključne besede

semantic hypergraph natural language processing

 Zbirke

CLARIN.SI data & tools

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