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 1–25 of 172 papers

TitleStatusHype
Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching—0
Urania: Differentially Private Insights into AI Use—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content—0
Leveraging ChatGPT for Sponsored Ad Detection and Keyword Extraction in YouTube Videos—0
What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness—0
PSCon: Product Search Through ConversationsCode0
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception—0
SEKE: Specialised Experts for Keyword ExtractionCode0
GPTDrawer: Enhancing Visual Synthesis through ChatGPT—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented GenerationCode0
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
AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-TuningCode1
New Method for Keyword Extraction for Patent Claims—0
Open-world Multi-label Text Classification with Extremely Weak SupervisionCode1
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
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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