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 111120 of 172 papers

TitleStatusHype
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity0
Semantic Similarity Computing for Scientific Academic Conferences fused with domain features0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers0
Semi-automatic System for Title Construction0
Sequence to Sequence Learning for Query Expansion0
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval0
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents0
Social Media Understanding by Word Cloud Timeline0
Solar cell patent classification method based on keyword extraction and deep neural network0
Thematic context vector association based on event uncertainty for Twitter0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score69.87Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score69.7Unverified
3Phraseformer(BERT, Node2vec)F1 score68.68Unverified
4Phraseformer(BERT, DeepWalk)F1 score68.44Unverified
5FRAKEF1 score58.9Unverified
#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score48.65Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score48.48Unverified
3Phraseformer(BERT, Node2vec)F1 score47.46Unverified
4Phraseformer(BERT, DeepWalk)F1 score47.22Unverified
5FRAKEF1 score37.5Unverified
#ModelMetricClaimedVerifiedStatus
1Phraseformer(BERT, ExEm(ft))F1 score67.13Unverified
2Phraseformer(BERT, ExEm(w2v))F1 score66.96Unverified
3Phraseformer(BERT, Node2vec)F1 score65.94Unverified
4Phraseformer(BERT, DeepWalk)F1 score65.7Unverified
5FRAKEF1 score54Unverified