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 101–150 of 172 papers

TitleStatusHype
Unsupervised Keyword Extraction for Full-sentence VQA—0
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT—0
Complex Network based Supervised Keyword ExtractorCode0
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations—0
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization"—0
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregationCode0
Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features—0
Semi-automatic System for Title Construction—0
Sequence to Sequence Learning for Query Expansion—0
sCAKE: Semantic Connectivity Aware Keyword ExtractionCode0
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
Efficient Generation and Processing of Word Co-occurrence Networks Using corpus2graphCode0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods—0
A corpus of German political speeches from the 21st century—0
MirasText: An Automatically Generated Text Corpus for Persian—0
Towards Mapping Thesauri onto plWordNet—0
Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality—0
Demographic-aware word associations—0
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive SummarizationCode0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
Leveraging web resources for keyword assignment to short text documents—0
Automatic Keyword Extraction for Text Summarization: A Survey—0
Real-Time Keyword Extraction from Conversations—0
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams—0
Extraction of Keywords of Novelties From Patent Claims—0
A Graph Degeneracy-based Approach to Keyword ExtractionCode0
Generation of Conceptual-Level Text Cloud with Graph Diffusion—0
English-French Document Alignment Based on Keywords and Statistical Translation—0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
Cross-Lingual Question Answering Using Common Semantic Space—0
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics—0
Bilingual Keyword Extraction and its Educational Application—0
Automatic Keyword Extraction on Twitter—0
Towards Automatic Description of Knowledge Components—0
Effects of Graph Generation for Unsupervised Non-Contextual Single Document Keyword Extraction—0
Application of Topic Models to Judgments from Public Procurement Domain—0
Social Media Understanding by Word Cloud Timeline—0
Relating Keywords to the Top Ten News of the Year in Korean Newspapers—0
Joint Learning of Chinese Words, Terms and Keywords—0
Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents—0
Collaborative Ranking between Supervised and Unsupervised Approaches for Keyphrase Extraction—0
Unsupervised Keyword Extraction from Polish Legal Texts—0
Enforcing Topic Diversity in a Document Recommender for Conversations—0
Enriching Wikipedia's Intra-language Links by their Cross-language Transfer—0
Toward Selectivity Based Keyword Extraction for Croatian News—0
Toward Network-based Keyword Extraction from Multitopic Web Documents—0
Centrality Measures for Non-Contextual Graph-Based Unsupervised Single Document Keyword Extraction—0
Cross-Lingual Information to the Rescue in Keyword Extraction—0
Tools for Arabic Natural Language Processing: a case study in qalqalah prosody—0
Show:102550
← PrevPage 3 of 4Next →

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