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 76–100 of 172 papers

TitleStatusHype
Learning to Extract Folktale Keywords—0
Learning to lemmatise Polish noun phrases—0
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning—0
Leveraging ChatGPT for Sponsored Ad Detection and Keyword Extraction in YouTube Videos—0
Leveraging web resources for keyword assignment to short text documents—0
Linguagrid: a network of Linguistic and Semantic Services for the Italian Language.—0
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models—0
MAKED: Multi-lingual Automatic Keyword Extraction Dataset—0
Measuring Term Informativeness in Context—0
MedLingMap: A growing resource mapping the Bio-Medical NLP field—0
MIKE: An Interactive Microblogging Keyword Extractor using Contextual Semantic Smoothing—0
MirasText: An Automatically Generated Text Corpus for Persian—0
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars—0
Multi-task Prompt Words Learning for Social Media Content Generation—0
Multi-view and Cross-view Brain Decoding—0
Natural language processing on customer note data—0
New Method for Keyword Extraction for Patent Claims—0
N-Grams TextRank A Novel Domain Keyword Extraction Technique—0
Norm of Word Embedding Encodes Information Gain—0
Novel Keyword Extraction and Language Detection Approaches—0
On-Device Sentence Similarity for SMS Dataset—0
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights—0
Open Domain Response Generation Guided by Retrieved Conversations—0
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?—0
Participation du LINA \`a DEFT2012 (LINA at DEFT2012) [in French]—0
Show:102550
← PrevPage 4 of 7Next →

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