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 81–90 of 172 papers

TitleStatusHype
Toward Selectivity Based Keyword Extraction for Croatian News—0
Towards Mapping Thesauri onto plWordNet—0
Two baselines for unsupervised dependency parsing—0
UNIMIB at TREC 2021 Clinical Trials Track—0
Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents—0
Unsupervised Keyword Extraction for Full-sentence VQA—0
Unsupervised Keyword Extraction from Polish Legal Texts—0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis—0
Urania: Differentially Private Insights into AI Use—0
Using virtual edges to extract keywords from texts modeled as complex networks—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