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 76100 of 172 papers

TitleStatusHype
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval0
Tools for Arabic Natural Language Processing: a case study in qalqalah prosody0
Toward Network-based Keyword Extraction from Multitopic Web Documents0
Towards Automatic Description of Knowledge Components0
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
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness0
Interest Analysis using PageRank and Social Interaction Content0
JobHam-place with smart recommend job options and candidate filtering options0
Joint Learning of Chinese Words, Terms and Keywords0
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving0
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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