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 126–150 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
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions—0
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search—0
What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness—0
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research—0
专业技术文本关键词抽取方法(Keyword Extraction on Professional Technical Text)—0
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization"—0
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews—0
A corpus of German political speeches from the 21st century—0
A Document-based Knowledge Discovery with Microservices Architecture—0
A Just-In-Time Keyword Extraction from Meeting Transcripts—0
A method for incremental discovery of financial event types based on anomaly detection—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
An evaluation of keyword extraction from online communication for the characterisation of social relations—0
A New Entity Salience Task with Millions of Training Examples—0
Application of Topic Models to Judgments from Public Procurement Domain—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