Keyword Extraction
25 papers with code • 3 benchmarks • 5 datasets
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).
Benchmarks
These leaderboards are used to track progress in Keyword Extraction
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Datasets
MPQA Opinion Corpus
SemEval-2017 Task-10
Most implemented papers
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
However, we find that large-scale bidirectional training between image and text enables zero-shot image captioning.
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERT
Downstream training for keyword extractors is a lengthy process and requires a significant amount of data.
Graph-based Semantical Extractive Text Analysis
minasmz/persian-summarization
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The two important tasks to do this are keyword extraction and text summarization.
Task Oriented Conversational Modelling With Subjective Knowledge
raja-kumar/knowledge-grounded-tods
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Existing conversational models are handled by a database(DB) and API based systems.
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
ShampooWang/SpeechCLIP_plus
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Second, we propose a new hybrid architecture that merges the cascaded and parallel architectures of SpeechCLIP into a multi-task learning framework.
