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 5175 of 172 papers

TitleStatusHype
Task Oriented Conversational Modelling With Subjective KnowledgeCode0
A method for incremental discovery of financial event types based on anomaly detection0
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research0
Norm of Word Embedding Encodes Information Gain0
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness0
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations0
Multi-view and Cross-view Brain Decoding0
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving0
专业技术文本关键词抽取方法(Keyword Extraction on Professional Technical Text)0
Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer0
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents0
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction0
UNIMIB at TREC 2021 Clinical Trials Track0
Keyword Extraction in Scientific Documents0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis0
Born for Auto-Tagging: Faster and better with new objective functions0
MAKED: Multi-lingual Automatic Keyword Extraction Dataset0
EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media0
Using virtual edges to extract keywords from texts modeled as complex networks0
Cross-view Brain Decoding0
Semantic Similarity Computing for Scientific Academic Conferences fused with domain features0
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?0
Open Domain Response Generation Guided by Retrieved Conversations0
Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysisCode0
Coherence-Based Document Clustering0
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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