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 51–100 of 172 papers

TitleStatusHype
Task Oriented Conversational Modelling With Subjective KnowledgeCode0
A method for incremental discovery of financial event types based on anomaly detection—0
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research—0
Norm of Word Embedding Encodes Information Gain—0
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness—0
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations—0
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving—0
专业技术文本关键词抽取方法(Keyword Extraction on Professional Technical Text)—0
Multi-view and Cross-view Brain Decoding—0
Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer—0
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents—0
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction—0
UNIMIB at TREC 2021 Clinical Trials Track—0
Keyword Extraction in Scientific Documents—0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis—0
Born for Auto-Tagging: Faster and better with new objective functions—0
MAKED: Multi-lingual Automatic Keyword Extraction Dataset—0
EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media—0
Using virtual edges to extract keywords from texts modeled as complex networks—0
Cross-view Brain Decoding—0
Semantic Similarity Computing for Scientific Academic Conferences fused with domain features—0
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?—0
Open Domain Response Generation Guided by Retrieved Conversations—0
Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysisCode0
Coherence-Based Document Clustering—0
Explainable Point-Based Document Visualizations—0
Solar cell patent classification method based on keyword extraction and deep neural network—0
Keyword Extraction for Improved Document Retrieval in Conversational Search—0
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval—0
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search—0
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix—0
Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up—0
GEPSA, a tool for monitoring social challenges in digital press—0
ELSKE: Efficient Large-Scale Keyphrase ExtractionCode0
Extending Neural Keyword Extraction with TF-IDF tagset matchingCode0
Literature Retrieval for Precision Medicine with Neural Matching and Faceted SummarizationCode0
On-Device Sentence Similarity for SMS Dataset—0
N-Grams TextRank A Novel Domain Keyword Extraction Technique—0
Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian—0
CHARM: Inferring Personal Attributes from Conversations—0
Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme—0
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model—0
Novel Keyword Extraction and Language Detection Approaches—0
Keywords lie far from the mean of all words in local vector spaceCode0
#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19—0
TNT-KID: Transformer-based Neural Tagger for Keyword IdentificationCode0
Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish—0
Semantic Sensitive TF-IDF to Determine Word Relevance in DocumentsCode0
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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