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Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [Needs More Information]
- Repository: https://github.com/AlonEirew/extract-wec
- Paper: https://aclanthology.org/2021.naacl-main.198/
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
A large-scale dataset for cross-document event coreference extracted from English Wikipedia
Supported Tasks and Leaderboards
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Languages
English
Dataset Structure
Data Instances
{ "coref_chain": 2293469, "coref_link": "Family Values Tour 1998", "doc_id": "House of Pain", "mention_context": [ "From", "then", "on", ",", "the", "members", "continued", "their" ], "mention_head": "Tour", "mention_head_lemma": "Tour", "mention_head_pos": "PROPN", "mention_id": "108172", "mention_index": 1, "mention_ner": "UNK", "mention_type": 8, "predicted_coref_chain": null, "sent_id": 2, "tokens_number": [ 50, 51, 52, 53 ], "tokens_str": "Family Values Tour 1998", "topic_id": -1 }
Data Fields
| Field | Value Type | Value |
|---|---|---|
| coref_chain | Numeric | Coreference chain/cluster ID |
| coref_link | String | Coreference link wikipeida page/article title |
| doc_id | String | Mention page/article title |
| mention_context | List[String] | Tokenized mention paragraph (including mention) |
| mention_head | String | Mention span head token |
| mention_head_lemma | String | Mention span head token lemma |
| mention_head_pos | String | Mention span head token POS |
| mention_id | String | Mention id |
| mention_index | Numeric | Mention index in json file |
| mention_ner | String | Mention NER |
| tokens_number | List[Numeric] | Mentions tokens ids within the context |
| tokens_str | String | Mention span text |
| topic_id | Ignore | Ignore |
| mention_type | Ignore | Ignore |
| predicted_coref_chain | Ignore | Ignore |
| sent_id | Ignore | Ignore |
Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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