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
Explainable Point-Based Document Visualizations—0
Exploratory Analysis of Highly Heterogeneous Document Collections—0
Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up—0
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics—0
Extracting Keywords from Multi-party Live Chats—0
Extraction de mots clefs dans des vid\'eos Web par Analyse Latente de Dirichlet (LDA-based tagging of Web videos) [in French]—0
Extraction of Keywords of Novelties From Patent Claims—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
Generation of Conceptual-Level Text Cloud with Graph Diffusion—0
GEPSA, a tool for monitoring social challenges in digital press—0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
GPTDrawer: Enhancing Visual Synthesis through ChatGPT—0
Cross-view Brain Decoding—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
Applying Graph-based Keyword Extraction to Document Retrieval—0
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception—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
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness—0
Interest Analysis using PageRank and Social Interaction Content—0
JobHam-place with smart recommend job options and candidate filtering options—0
Joint Learning of Chinese Words, Terms and Keywords—0
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving—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