SOTAVerified

Keyword Extraction

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).

Papers

Showing 61–70 of 172 papers

TitleStatusHype
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents—0
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction—0
UNIMIB at TREC 2021 Clinical Trials Track—0
Keyword Extraction in Scientific Documents—0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis—0
Born for Auto-Tagging: Faster and better with new objective functions—0
EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media—0
MAKED: Multi-lingual Automatic Keyword Extraction Dataset—0
Using virtual edges to extract keywords from texts modeled as complex networks—0
Cross-view Brain Decoding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score69.87—Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score69.7—Unverified
3Phraseformer(BERT, Node2vec)F1 score68.68—Unverified
4Phraseformer(BERT, DeepWalk)F1 score68.44—Unverified
5FRAKEF1 score58.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score48.65—Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score48.48—Unverified
3Phraseformer(BERT, Node2vec)F1 score47.46—Unverified
4Phraseformer(BERT, DeepWalk)F1 score47.22—Unverified
5FRAKEF1 score37.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score67.13—Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score66.96—Unverified
3Phraseformer(BERT, Node2vec)F1 score65.94—Unverified
4Phraseformer(BERT, DeepWalk)F1 score65.7—Unverified
5FRAKEF1 score54—Unverified