CUED_speech at TREC 2020 Podcast Summarisation Track

Textrank: Bringing order into text

Rada Mihalcea and Paul Tarau · 2004

Earlier work this paper cites.

Supervised spoken document summarization based on structured support vector machine with utterance clusters as hidden variables

Sz-Rung Shiang, H.-Y Lee, and L.-S Lee · 2013

Earlier work this paper cites.

Towards abstractive speech summarization: Exploring unsupervised and supervised approaches for spoken utterance compression

F. Liu and Y. Liu · 2013

Earlier work this paper cites.

Sequence to sequence learning with neural networks

Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014

Earlier work this paper cites.

Deep Learning

Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016

Earlier work this paper cites.

Abstractive text summarization using sequence-to-sequence RNNs and beyond

Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, and Bing Xiang · 2016

Earlier work this paper cites.

Get to the point: Summarization with pointer-generator networks

Abigail See, Peter J. Liu, and Christopher D. Manning · 2017

Cited alongside, same era.

A deep reinforced model for abstractive summarization

Original

Romain Paulus, Caiming Xiong, and Richard Socher · 2017

Cited alongside, same era.

Unsupervised abstractive meeting summarization with multi-sentence compression and budgeted submodular maximization

Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré · 2018

Cited alongside, same era.

BERT: pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018

Cited alongside, same era.

Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization

Shashi Narayan, Shay B. Cohen, and Mirella Lapata · 2018

Language models are unsupervised multitask learners

Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019

Later among the works it cites.

Sentence-bert: Sentence embeddings using siamese bert-networks

Original

Nils Reimers and Iryna Gurevych · 2019

Later among the works it cites.

Overview of the TREC 2020 Podcasts Track

Ann Clifton, Aasish Pappu, Sravana Reddy, Yongze Yu, Jussi Karlgren, Ben Carterette, Rosie Jones, Maria Eskevich, and Gareth Jones · 2020

Closest in time.

BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer · 2020

Closest in time.

Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity Optimization

Potsawee Manakul, Mark J.F. Gales, and Linlin Wang · 2020

Closest in time.