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--- |
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license: other |
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--- |
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# GUM Corpus V9.2.0 |
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- Project: https://github.com/amir-zeldes/gum |
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- Data source: https://github.com/amir-zeldes/gum/commit/3b0ab7d11911be1695e4dacadb28a7a1df230bdb |
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## Details |
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An English corpus annotated for coreference and other linguistic phenomenon. See the project repo for full corpora license information. Annotations are licensed under CC-BY-4.0. |
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## Citation |
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``` |
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@Article{Zeldes2017, |
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author = {Amir Zeldes}, |
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title = {The {GUM} Corpus: Creating Multilayer Resources in the Classroom}, |
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journal = {Language Resources and Evaluation}, |
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year = {2017}, |
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volume = {51}, |
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number = {3}, |
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pages = {581--612}, |
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doi = {http://dx.doi.org/10.1007/s10579-016-9343-x} |
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} |
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@InProceedings{ZhuEtAl2021, |
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author = {Yilun Zhu and Sameer Pradhan and Amir Zeldes}, |
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booktitle = {Proceedings of ACL-IJCNLP 2021}, |
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title = {{OntoGUM}: Evaluating Contextualized {SOTA} Coreference Resolution on 12 More Genres}, |
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year = {2021}, |
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pages = {461--467}, |
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address = {Bangkok, Thailand} |
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} |
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``` |
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## Features |
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```python |
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{'coref_entities': [[{'eid': Value(dtype='string', id=None), |
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'eid_or_grp': Value(dtype='string', id=None), |
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'etype': Value(dtype='string', id=None), |
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'other': Value(dtype='string', id=None), |
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'sent_id': Value(dtype='string', id=None), |
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'span': Value(dtype='string', id=None)}]], |
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'doc_id': Value(dtype='string', id=None), |
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'ontogum_coref_chains': Sequence(feature=Sequence(feature=Sequence(feature=Value(dtype='int64', |
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id=None), |
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length=-1, |
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id=None), |
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length=-1, |
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id=None), |
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length=-1, |
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id=None), |
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'ontogum_sentences': [[{'deprel': Value(dtype='string', id=None), |
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'deps': Value(dtype='string', id=None), |
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'feats': Value(dtype='string', id=None), |
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'head': Value(dtype='int64', id=None), |
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'id': Value(dtype='int64', id=None), |
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'lemma': Value(dtype='string', id=None), |
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'misc': Value(dtype='string', id=None), |
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'text': Value(dtype='string', id=None), |
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'upos': Value(dtype='string', id=None), |
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'xpos': Value(dtype='string', id=None)}]], |
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'sentences': [{'comment': Value(dtype='string', id=None), |
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'conll_rows': [{'deprel': Value(dtype='string', id=None), |
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'deps': Value(dtype='string', id=None), |
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'feats': Value(dtype='string', id=None), |
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'head': Value(dtype='int64', id=None), |
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'id': Value(dtype='int64', id=None), |
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'lemma': Value(dtype='string', id=None), |
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'misc': Value(dtype='string', id=None), |
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'text': Value(dtype='string', id=None), |
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'upos': Value(dtype='string', id=None), |
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'xpos': Value(dtype='string', id=None)}], |
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'global_entity': Value(dtype='string', id=None), |
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'newdoc': Value(dtype='string', id=None), |
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'newpar': Value(dtype='bool', id=None), |
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'sent_id': Value(dtype='string', id=None), |
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'speaker': Value(dtype='string', id=None), |
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'text': Value(dtype='string', id=None), |
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'tokens': [{'coref_mentions': [{'eid': Value(dtype='string', |
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id=None), |
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'eid_or_grp': Value(dtype='string', |
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id=None), |
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'etype': Value(dtype='string', |
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id=None), |
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'other': {'centering': Value(dtype='string', |
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id=None), |
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'identity': Value(dtype='string', |
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id=None), |
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'infstat': Value(dtype='string', |
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id=None), |
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'link': Value(dtype='string', |
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id=None), |
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'minspan': Value(dtype='string', |
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id=None)}, |
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'span': Value(dtype='string', |
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id=None)}], |
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'deprel': Value(dtype='string', id=None), |
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'feats': Value(dtype='string', id=None), |
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'form': Value(dtype='string', id=None), |
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'head': Value(dtype='int64', id=None), |
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'lemma': Value(dtype='string', id=None), |
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'misc': Value(dtype='string', id=None), |
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'ord': Value(dtype='float64', id=None), |
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'upos': Value(dtype='string', id=None), |
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'xpos': Value(dtype='string', id=None)}]}]} |
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``` |
