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 26–50 of 172 papers

TitleStatusHype
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights—0
Cross-Domain Keyword Extraction with Keyness Patterns—0
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the RisksCode0
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business RegistryCode0
Automatic Generation of Web Censorship Probe Lists—0
Multi-task Prompt Words Learning for Social Media Content Generation—0
New Method for Keyword Extraction for Patent Claims—0
Large Language Model Enhanced Clustering for News Event Detection—0
A Document-based Knowledge Discovery with Microservices Architecture—0
Khmer Semantic Search Engine (KSE): Digital Information Access and Document Retrieval—0
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics—0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image dataCode0
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions—0
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models—0
Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation—0
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews—0
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning—0
Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers—0
Natural language processing on customer note data—0
Thematic context vector association based on event uncertainty for Twitter—0
JobHam-place with smart recommend job options and candidate filtering options—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