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BillSum: A Corpus for Automatic Summarization of US Legislation

BillSum: A Corpus for Automatic Summarization of US Legislation

1 October 2019
Anastassia Kornilova
Vladimir Eidelman
    AILaw
ArXivPDFHTML

Papers citing "BillSum: A Corpus for Automatic Summarization of US Legislation"

8 / 8 papers shown
Title
The State and Fate of Summarization Datasets: A Survey
The State and Fate of Summarization Datasets: A Survey
Noam Dahan
Gabriel Stanovsky
HILM
104
0
0
07 Nov 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
146
87
0
05 Mar 2024
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
111
5,579
0
25 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
951
93,936
0
11 Oct 2018
How Predictable is Your State? Leveraging Lexical and Contextual
  Information for Predicting Legislative Floor Action at the State Level
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Vladimir Eidelman
Anastassia Kornilova
Daniel Argyle
AILaw
AI4TS
13
8
0
13 Jun 2018
Party Matters: Enhancing Legislative Embeddings with Author Attributes
  for Vote Prediction
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
Anastassia Kornilova
Daniel Argyle
Vladimir Eidelman
30
25
0
21 May 2018
A Supervised Approach to Extractive Summarisation of Scientific Papers
A Supervised Approach to Extractive Summarisation of Scientific Papers
Edward Collins
Isabelle Augenstein
Sebastian Riedel
40
100
0
13 Jun 2017
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
274
3,527
0
10 Jun 2015
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