ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Paper
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2408.00103
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Published
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23
ReLiK: Retrieve, Read and LinK
A blazing fast and lightweight Information Extraction model for Entity Linking and Relation Extraction.
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49
Information Extraction
🏃Extract entities and relations from text
sapienzanlp/relik-entity-linking-large
Updated • 158 • 11Note Pretrained configuration of ReLiK-large for Entity Linking
sapienzanlp/relik-entity-linking-base
Updated • 69 • 4Note Pretrained configuration for ReLiK-base for Entity Linking
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sapienzanlp/relik-entity-linking-small
Updated • 269 • 3
relik-ie/relik-relation-extraction-small
Updated • 57k • 3Note Pretrained configuration for ReLiK-small for Relation Extraction.
relik-ie/relik-cie-small
Updated • 43 • 5Note Pretrained configuration for ReLiK-small for Relation Extraction and Entity Linking (aka closed Information Extraction). It will load one Retriever per task, and a shared Reader.
relik-ie/relik-cie-tiny
Updated • 1 • 2Note Note Pretrained configuration for ReLiK-tiny for Relation Extraction and Entity Linking (aka closed Information Extraction). It will load one Retriever (both small) per task, and a shared Reader (small).
sapienzanlp/relik-relation-extraction-nyt-large
Updated • 56 • 4Note Pretrained configuration for ReLiK-large for Relation Extraction trained on the NYT corpus
sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder
Feature Extraction • Updated • 631Note Retriever Encoder fine-tuned on AIDA for Entity Linking
sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-index
Updated • 164 • 1Note Wikipedia index computed with sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder
sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-faiss-flat-index
Updated • 2Note Wikipedia FAISS index computed with sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder
sapienzanlp/relik-reader-deberta-v3-large-aida
Feature Extraction • Updated • 125 • 1Note Entity Linking pretrained Large Reader Encoder
sapienzanlp/relik-reader-deberta-v3-base-aida
Feature Extraction • Updated • 785Note Entity Linking pretrained Base Reader Encoder
sapienzanlp/relik-retriever-e5-base-v2-blink-first1M-encoder
Feature Extraction • Updated • 1Note Retriever Encoder pretrained on BLINK
sapienzanlp/relik-reader-deberta-v3-large-nyt
Feature Extraction • Updated • 125Note Relation Extraction pretrained Large Reader Encoder
sapienzanlp/relik-retriever-small-nyt-document-index
Updated • 63Note Wikipedia index computed with sapienzanlp/relik-retriever-small-nyt-question-encoder
sapienzanlp/relik-retriever-small-nyt-question-encoder
Feature Extraction • Updated • 129Note Retriever Encoder fine-tuned on NYT
sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-2Mpopular-index
Updated • 1Note Wikipedia index computed with 2M entities filtered by popularity with sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder. Can be used instead of sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-index for more lightweight inference and up to date Wikipedia titles, if performance on GERBIL is not the main objective.
sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-index-updated
Updated • 1Note Wikipedia index computed with sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder. Can be used instead of sapienzanlp/relik-retriever-e5-base-v2-aida-blink-wikipedia-index for more up to date Wikipedia titles, if performance on GERBIL is not the main objective.