A Comparative Assessment of Various Embeddings for Keyword Extraction-Reference-Cited by-同舟云学术

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A Comparative Assessment of Various Embeddings for Keyword Extraction

Published:2023-06-08 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Ashqar Ghaith¹,Mutlu Alev¹

Affiliation:

1. Kocaeli University,Department of Computer Engineering,Kocaeli,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156655/10155769/10156762.pdf?arnumber=10156762

Reference25 articles.

1. Local word vectors guiding keyphrase extraction

2. Impact analysis of keyword extraction using contextual word embedding

3. SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-Trained Language Model

4. SkyWords: An automatic keyword extraction system based on the skyline operator and semantic similarity

5. MGRank: A keyword extraction system based on multigraph GoW model and novel edge weighting procedure

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1. A Multimetric Approach for Evaluation of ChatGPT-Generated Text Summaries;IEEE Engineering Management Review;2024-06

2. Direct matching between music and image for contextual relationship analysis;2024 IEEE International Conference on Cybernetics and Innovations (ICCI);2024-03-29

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