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 126150 of 172 papers

TitleStatusHype
Toward Selectivity Based Keyword Extraction for Croatian News0
Towards Mapping Thesauri onto plWordNet0
Two baselines for unsupervised dependency parsing0
UNIMIB at TREC 2021 Clinical Trials Track0
Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents0
Unsupervised Keyword Extraction for Full-sentence VQA0
Unsupervised Keyword Extraction from Polish Legal Texts0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis0
Urania: Differentially Private Insights into AI Use0
Using virtual edges to extract keywords from texts modeled as complex networks0
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions0
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search0
What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness0
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research0
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 Reviews0
A corpus of German political speeches from the 21st century0
A Document-based Knowledge Discovery with Microservices Architecture0
A Just-In-Time Keyword Extraction from Meeting Transcripts0
A method for incremental discovery of financial event types based on anomaly detection0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach0
An evaluation of keyword extraction from online communication for the characterisation of social relations0
A New Entity Salience Task with Millions of Training Examples0
Application of Topic Models to Judgments from Public Procurement Domain0
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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