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AbLit: A Resource for Analyzing and Generating Abridged Versions of
  English Literature

AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature

13 February 2023
Melissa Roemmele
Kyle Shaffer
Katrina Olsen
Yiyi Wang
Steve DeNeefe
ArXivPDFHTML

Papers citing "AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature"

14 / 14 papers shown
Title
Document-Level Text Simplification: Dataset, Criteria and Baseline
Document-Level Text Simplification: Dataset, Criteria and Baseline
Renliang Sun
Hanqi Jin
Xiao-Yi Wan
29
46
0
11 Oct 2021
Recursively Summarizing Books with Human Feedback
Recursively Summarizing Books with Human Feedback
Jeff Wu
Long Ouyang
Daniel M. Ziegler
Nissan Stiennon
Ryan J. Lowe
Jan Leike
Paul Christiano
ALM
91
301
0
22 Sep 2021
BookSum: A Collection of Datasets for Long-form Narrative Summarization
BookSum: A Collection of Datasets for Long-form Narrative Summarization
Wojciech Kry'sciñski
Nazneen Rajani
Divyansh Agarwal
Caiming Xiong
Dragomir R. Radev
RALM
55
152
0
18 May 2021
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language
  Models
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Samuel Gehman
Suchin Gururangan
Maarten Sap
Yejin Choi
Noah A. Smith
108
1,168
0
24 Sep 2020
Explainable Prediction of Text Complexity: The Missing Preliminaries for
  Text Simplification
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
Cristina Garbacea
Mengtian Guo
Samuel Carton
Qiaozhu Mei
29
28
0
31 Jul 2020
Exploring Content Selection in Summarization of Novel Chapters
Exploring Content Selection in Summarization of Novel Chapters
Faisal Ladhak
Bryan Li
Yaser Al-Onaizan
Kathleen McKeown
107
36
0
04 May 2020
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury
Makarand Tapaswi
Seung Wook Kim
Sanja Fidler
30
10
0
30 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
125
10,720
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
260
19,824
0
23 Oct 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
311
325
0
21 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
398
24,160
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
178
8,386
0
19 Jun 2019
Cross-lingual Language Model Pretraining
Cross-lingual Language Model Pretraining
Guillaume Lample
Alexis Conneau
52
2,727
0
22 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
943
93,936
0
11 Oct 2018
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