TED Talk Teaser Generation with Pre-Trained Models-Reference-Cited by-同舟云学术

TED Talk Teaser Generation with Pre-Trained Models

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Vico Gianluca¹,Niehues Jan¹

Affiliation:

1. Maastricht University,Department of Data Science and Knowledge Engineering,Maastricht,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746700.pdf?arnumber=9746700

Reference17 articles.

1. News-room: A dataset of 1.3 million summaries with diverse extractive strategies;grusky;Long Papers,2018

2. PEGASUS: Pre-training with extracted gapsentences for abstractive summarization;zhang;Machine Learning Research,2020

3. Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

4. Towards human-centered summarization: A case study on financial news;passali;Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing,2021

5. Adafactor: Adaptive learning rates with sublinear memory cost;shazeer;Machine Learning Research,2018

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1. Transformer Based Multimodal Summarization and Highlight Abstraction Approach for Texts and Speech Audios;2024 28th International Conference on Information Technology (IT);2024-02-21

2. Mining Popular Trends from TED Talk Data;2023 IEEE International Conference on Industrial Technology (ICIT);2023-04-04