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 101–150 of 172 papers

TitleStatusHype
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT—0
Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features—0
Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers—0
Real-Time Keyword Extraction from Conversations—0
Relating Keywords to the Top Ten News of the Year in Korean Newspapers—0
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction—0
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations—0
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model—0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
Semantic Similarity Computing for Scientific Academic Conferences fused with domain features—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
Semi-automatic System for Title Construction—0
Sequence to Sequence Learning for Query Expansion—0
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval—0
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents—0
Social Media Understanding by Word Cloud Timeline—0
Solar cell patent classification method based on keyword extraction and deep neural network—0
Thematic context vector association based on event uncertainty for Twitter—0
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings—0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval—0
Tools for Arabic Natural Language Processing: a case study in qalqalah prosody—0
Toward Network-based Keyword Extraction from Multitopic Web Documents—0
Towards Automatic Description of Knowledge Components—0
Toward Selectivity Based Keyword Extraction for Croatian News—0
Towards Mapping Thesauri onto plWordNet—0
Two baselines for unsupervised dependency parsing—0
UNIMIB at TREC 2021 Clinical Trials Track—0
Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents—0
Unsupervised Keyword Extraction for Full-sentence VQA—0
Unsupervised Keyword Extraction from Polish Legal Texts—0
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis—0
Urania: Differentially Private Insights into AI Use—0
Using virtual edges to extract keywords from texts modeled as complex networks—0
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions—0
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search—0
What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness—0
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research—0
专业技术文本关键词抽取方法(Keyword Extraction on Professional Technical Text)—0
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization"—0
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews—0
A corpus of German political speeches from the 21st century—0
A Document-based Knowledge Discovery with Microservices Architecture—0
A Just-In-Time Keyword Extraction from Meeting Transcripts—0
A method for incremental discovery of financial event types based on anomaly detection—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
An evaluation of keyword extraction from online communication for the characterisation of social relations—0
A New Entity Salience Task with Millions of Training Examples—0
Application of Topic Models to Judgments from Public Procurement Domain—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