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"tail": 1,
"type": "OrgBased_In"
}
] | 2,571 |
[
{
"end": 2,
"start": 1,
"type": "Loc"
},
{
"end": 4,
"start": 3,
"type": "Other"
},
{
"end": 6,
"start": 5,
"type": "Other"
},
{
"end": 11,
"start": 8,
"type": "Peop"
},
{
"end": 18,
"start": 13,
"type": "Org"
},
{
"end": 22,
"start": 19,
"type": "Peop"
},
{
"end": 30,
"start": 26,
"type": "Peop"
}
] | [
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"Placerville",
"jury",
"Wednesday",
"convicted",
"Highway",
"50",
"sniper",
"Kenneth",
"Earl",
"Millikan",
"of",
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"Bay",
"Area",
"Rapid",
"Transit",
"District",
"employee",
"Peter",
"J.",
"Martinelli",
",",
"the",
"son-in-law",
"of",
"BART",
"Director",
"Nello",
"Bianco.",
";"
] | [
{
"head": 3,
"tail": 5,
"type": "Kill"
}
] | 5,221 |
[
{
"end": 2,
"start": 0,
"type": "Peop"
},
{
"end": 7,
"start": 5,
"type": "Loc"
},
{
"end": 12,
"start": 9,
"type": "Peop"
}
] | [
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",Ohio",
",",
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"S.",
"Grant",
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"."
] | [
{
"head": 0,
"tail": 1,
"type": "Live_In"
}
] | 5,343 |
[
{
"end": 7,
"start": 5,
"type": "Loc"
},
{
"end": 11,
"start": 9,
"type": "Other"
},
{
"end": 27,
"start": 25,
"type": "Peop"
}
] | [
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"but",
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",",
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"where",
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"was",
"on",
"duty."
] | [
{
"head": 2,
"tail": 0,
"type": "Live_In"
}
] | 1,959 |
[
{
"end": 11,
"start": 10,
"type": "Other"
},
{
"end": 17,
"start": 16,
"type": "Loc"
},
{
"end": 20,
"start": 18,
"type": "Peop"
},
{
"end": 30,
"start": 28,
"type": "Other"
},
{
"end": 34,
"start": 33,
"type": "Other"
}
] | [
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"plot",
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"film",
"`",
"`",
"American",
"Graffiti",
",",
"'",
"'",
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"native",
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",",
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"first",
"Saturday",
"after",
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"."
] | [
{
"head": 2,
"tail": 1,
"type": "Live_In"
}
] | 5,371 |
[
{
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"start": 0,
"type": "Peop"
},
{
"end": 15,
"start": 13,
"type": "Loc"
},
{
"end": 25,
"start": 24,
"type": "Peop"
},
{
"end": 33,
"start": 32,
"type": "Other"
}
] | [
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"Jennings",
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"loudly",
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",",
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"on",
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"12",
",",
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"."
] | [
{
"head": 0,
"tail": 2,
"type": "Kill"
}
] | 5,011 |
[
{
"end": 6,
"start": 4,
"type": "Org"
},
{
"end": 8,
"start": 6,
"type": "Loc"
},
{
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"start": 31,
"type": "Peop"
}
] | [
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"officer",
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"Fadeyev",
"."
] | [
{
"head": 2,
"tail": 0,
"type": "Work_For"
}
] | 4,483 |
[
{
"end": 10,
"start": 8,
"type": "Peop"
},
{
"end": 22,
"start": 21,
"type": "Peop"
},
{
"end": 29,
"start": 28,
"type": "Loc"
}
] | [
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",",
"'",
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"'",
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"Chapman",
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"state",
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",",
"where",
"he",
"is",
"serving",
"20",
"years",
"to",
"life."
] | [
{
"head": 1,
"tail": 0,
"type": "Kill"
}
] | 5,167 |
[
{
"end": 1,
"start": 0,
"type": "Loc"
},
{
"end": 3,
"start": 2,
"type": "Loc"
},
{
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"start": 4,
"type": "Org"
},
{
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"start": 7,
"type": "Peop"
},
{
"end": 13,
"start": 10,
"type": "Other"
},
{
"end": 27,
"start": 24,
"type": "Other"
}
] | [
"STOCKTON-ON-TEES",
",",
"England",
"(",
"AP",
")",
"_",
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",",
"000",
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"he",
"never",
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"thought",
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"II",
"."
] | [
{
"head": 0,
"tail": 1,
"type": "Located_In"
},
{
"head": 2,
"tail": 0,
"type": "OrgBased_In"
},
{
"head": 2,
"tail": 1,
"type": "OrgBased_In"
},
{
"head": 3,
"tail": 0,
"type": "Live_In"
},
{
"head": 3,
"tail": 1,
"type": "Live_In"
},
{
"head": 3,
"tail": 2,
"type": "Work_For"
}
] | 70 |
[
{
"end": 1,
"start": 0,
"type": "Loc"
},
{
"end": 2,
"start": 1,
"type": "Org"
}
] | [
"Madrid",
"EFE"
] | [
{
"head": 1,
"tail": 0,
"type": "OrgBased_In"
}
] | 3,781 |
[
{
"end": 1,
"start": 0,
"type": "Peop"
},
{
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"start": 5,
"type": "Org"
},
{
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"start": 7,
"type": "Loc"
},
{
"end": 20,
"start": 19,
"type": "Peop"
},
{
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"start": 28,
"type": "Peop"
},
{
"end": 32,
"start": 31,
"type": "Peop"
},
{
"end": 36,
"start": 35,
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}
] | [
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"Army",
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"Virginia",
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"war",
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"by",
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",",
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"Tidwell",
",",
"a",
"retired",
"CIA",
"officer",
"."
] | [
{
"head": 3,
"tail": 4,
"type": "Kill"
}
] | 5,060 |
[
{
"end": 4,
"start": 2,
"type": "Other"
},
{
"end": 31,
"start": 29,
"type": "Peop"
},
{
"end": 39,
"start": 37,
"type": "Org"
}
] | [
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"than",
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"energy",
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"for",
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"acre",
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"continuous",
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",",
"said",
"David",
"Pimentel",
",",
"an",
"ecologist",
"and",
"entomologist",
"at",
"Cornell",
"University."
] | [
{
"head": 1,
"tail": 2,
"type": "Work_For"
}
] | 1,530 |
[
{
"end": 14,
"start": 12,
"type": "Peop"
},
{
"end": 27,
"start": 23,
"type": "Org"
}
] | [
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",",
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",",
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",",
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",",
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"(",
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")",
":",
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",",
"while",
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"enemy",
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"other",
"victim",
"of",
"the",
"aggression",
"."
] | [
{
"head": 0,
"tail": 1,
"type": "Work_For"
}
] | 3,199 |
[
{
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"start": 6,
"type": "Org"
},
{
"end": 20,
"start": 19,
"type": "Loc"
},
{
"end": 26,
"start": 23,
"type": "Org"
},
{
"end": 29,
"start": 28,
"type": "Loc"
}
] | [
"After",
"decades",
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"hostility",
",",
"the",
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"is",
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"what",
"it",
"calls",
"a",
"new",
"spirit",
"of",
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"by",
"Moscow",
"to",
"strengthen",
"the",
"Roman",
"Catholic",
"Church",
"in",
"the",
"Soviet",
"bloc."
] | [
{
"head": 1,
"tail": 3,
"type": "Located_In"
}
] | 2,630 |
[
{
"end": 7,
"start": 3,
"type": "Loc"
},
{
"end": 12,
"start": 11,
"type": "Loc"
},
{
"end": 16,
"start": 15,
"type": "Loc"
},
{
"end": 18,
"start": 17,
"type": "Loc"
}
] | [
"The",
"Former",
"southernmost",
"Yugoslav",
"Republic",
"of",
"Macedonia",
"followed",
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"so",
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"Yugoslavia",
"now",
"consists",
"of",
"Serbia",
"and",
"Montenegro",
"."
] | [
{
"head": 2,
"tail": 1,
"type": "Located_In"
},
{
"head": 3,
"tail": 1,
"type": "Located_In"
}
] | 3,017 |
[
{
"end": 7,
"start": 4,
"type": "Peop"
},
{
"end": 11,
"start": 10,
"type": "Loc"
}
] | [
"In",
"1809",
",",
"author",
"Edgar",
"Allan",
"Poe",
"was",
"born",
"in",
"Boston",
"."
] | [
{
"head": 0,
"tail": 1,
"type": "Live_In"
}
] | 5,314 |
[
{
"end": 6,
"start": 4,
"type": "Other"
},
{
"end": 8,
"start": 7,
"type": "Other"
},
{
"end": 13,
"start": 12,
"type": "Loc"
},
{
"end": 15,
"start": 14,
"type": "Loc"
}
] | [
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"gusting",
"to",
"near",
"80",
"mph",
"damaged",
"trees",
"and",
"several",
"buildings",
"at",
"Covington",
",",
"Okla."
] | [
{
"head": 2,
"tail": 3,
"type": "Located_In"
}
] | 1,790 |
[
{
"end": 3,
"start": 1,
"type": "Peop"
},
{
"end": 13,
"start": 12,
"type": "Loc"
},
{
"end": 15,
"start": 14,
"type": "Loc"
}
] | [
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"Holtcamp",
",",
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",",
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",",
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",",
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",",
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"Arrow",
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"the",
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"."
] | [
{
"head": 0,
"tail": 1,
"type": "Live_In"
},
{
"head": 0,
"tail": 2,
"type": "Live_In"
},
{
"head": 1,
"tail": 2,
"type": "Located_In"
}
] | 3,466 |
[
{
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"start": 0,
"type": "Peop"
},
{
"end": 7,
"start": 5,
"type": "Loc"
},
{
"end": 11,
"start": 8,
"type": "Org"
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] | [
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"Nelson",
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"White",
"House",
"for",
"The",
"Associated",
"Press",
"."
] | [
{
"head": 0,
"tail": 2,
"type": "Work_For"
}
] | 46 |
[
{
"end": 7,
"start": 4,
"type": "Peop"
},
{
"end": 14,
"start": 12,
"type": "Peop"
},
{
"end": 25,
"start": 22,
"type": "Peop"
},
{
"end": 41,
"start": 39,
"type": "Peop"
}
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"Boris",
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",",
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"Harvey",
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"know",
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"the",
"man",
"who",
"killed",
"President",
"Kennedy",
"."
] | [
{
"head": 2,
"tail": 3,
"type": "Kill"
}
] | 5,176 |
[
{
"end": 15,
"start": 13,
"type": "Org"
},
{
"end": 17,
"start": 16,
"type": "Loc"
}
] | [
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"the",
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"French-speaking",
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"since",
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"when",
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"Supreme",
"Court",
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"Canada",
"ruled",
"that",
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"law",
"requiring",
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"signs",
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"be",
"only",
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"."
] | [
{
"head": 0,
"tail": 1,
"type": "OrgBased_In"
}
] | 981 |
Dataset Card for CoNLL04
Dataset Summary
The CoNLL04 dataset is a benchmark dataset used for relation extraction tasks. It contains 1,437 sentences, each of which has at least one relation. The sentences are annotated with information about entities and their corresponding relation types. The data in this repository was converted from ConLL04 format to JSONL format in https://github.com/lavis-nlp/spert/blob/master/scripts/conversion/convert_conll04.py
The original data can be found here: https://cogcomp.seas.upenn.edu/page/resource_view/43
The sentences in this dataset are tokenized and are annotated with entities (Peop
, Loc
, Org
, Other
) and relations (Located_In
, Work_For
, OrgBased_In
, Live_In
, Kill
).
Languages
The language in the dataset is English.
Dataset Structure
Dataset Instances
An example of 'train' looks as follows:
{
"tokens": ["Newspaper", "`", "Explains", "'", "U.S.", "Interests", "Section", "Events", "FL1402001894", "Havana", "Radio", "Reloj", "Network", "in", "Spanish", "2100", "GMT", "13", "Feb", "94"],
"entities": [
{"type": "Loc", "start": 4, "end": 5},
{"type": "Loc", "start": 9, "end": 10},
{"type": "Org", "start": 10, "end": 13},
{"type": "Other", "start": 15, "end": 17},
{"type": "Other", "start": 17, "end": 20}
],
"relations": [
{"type": "OrgBased_In", "head": 2, "tail": 1}
],
"orig_id": 3255
}
Data Fields
tokens
: the text of this example, astring
feature.entities
: list of entitiestype
: entity type, astring
feature.start
: start token index of entity, aint32
feature.end
: exclusive end token index of entity, aint32
feature.
relations
: list of relationstype
: relation type, astring
feature.head
: index of head entity, aint32
feature.tail
: index of tail entity, aint32
feature.
Citation
BibTeX:
@inproceedings{roth-yih-2004-linear,
title = "A Linear Programming Formulation for Global Inference in Natural Language Tasks",
author = "Roth, Dan and
Yih, Wen-tau",
booktitle = "Proceedings of the Eighth Conference on Computational Natural Language Learning ({C}o{NLL}-2004) at {HLT}-{NAACL} 2004",
month = may # " 6 - " # may # " 7",
year = "2004",
address = "Boston, Massachusetts, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W04-2401",
pages = "1--8",
}
@article{eberts-ulges2019spert,
author = {Markus Eberts and
Adrian Ulges},
title = {Span-based Joint Entity and Relation Extraction with Transformer Pre-training},
journal = {CoRR},
volume = {abs/1909.07755},
year = {2019},
url = {http://arxiv.org/abs/1909.07755},
eprinttype = {arXiv},
eprint = {1909.07755},
timestamp = {Mon, 23 Sep 2019 18:07:15 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1909-07755.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
APA:
- Roth, D., & Yih, W. (2004). A linear programming formulation for global inference in natural language tasks. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004 (pp. 1-8). Boston, Massachusetts, USA: Association for Computational Linguistics. https://aclanthology.org/W04-2401
- Eberts, M., & Ulges, A. (2019). Span-based joint entity and relation extraction with transformer pre-training. CoRR, abs/1909.07755. http://arxiv.org/abs/1909.07755
Dataset Card Authors
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