SOTAVerified

Keyword Extraction

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).

Papers

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Showing 151–172 of 172 papers

TitleStatusHype
Applying Graph-based Keyword Extraction to Document Retrieval—0
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception—0
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics—0
Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation—0
Automatic Generation of Web Censorship Probe Lists—0
Automatic Keyword Extraction for Text Summarization: A Survey—0
Automatic Keyword Extraction on Twitter—0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel—0
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations—0
Bilingual Keyword Extraction and its Educational Application—0
Born for Auto-Tagging: Faster and better with new objective functions—0
Building a Dataset for Summarization and Keyword Extraction from Emails—0
Centrality Measures for Non-Contextual Graph-Based Unsupervised Single Document Keyword Extraction—0
CHARM: Inferring Personal Attributes from Conversations—0
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
Coherence-Based Document Clustering—0
Collaborative Ranking between Supervised and Unsupervised Approaches for Keyphrase Extraction—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19—0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods—0
Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching—0
Cross-Domain Keyword Extraction with Keyness Patterns—0
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All datasetsInspecSemEval-2010 Task-8SemEval-2017 Task-10

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