NLPExplorer

Dataset

Legal Opinions

Total Paper Mentions:- 12

First ACL Paper:- 2004

Latest ACL Paper:- 2020

William Yang Wang

Associated works : 4

Suresh Naidu

Associated works : 2

Yusuke Shinyama

Associated works : 1

Justine Cassell

Associated works : 1

Ion Androutsopoulos

Associated works : 1

Haoxi Zhong

Associated works : 1

Maosong Sun

Associated works : 1

Miles Osborne

Associated works : 1

Johannes Daxenberger

Associated works : 1

Gary Geunbae Lee

Associated works : 1

Tristan Miller

Associated works : 1

Diyi Yang

Associated works : 1

Edward Lin

Associated works : 1

Iryna Gurevych

Associated works : 1

John Kominek

Associated works : 1

Adam Meyers

Associated works : 1

Amy Ogan

Associated works : 1

Chaojun Xiao

Associated works : 1

Nancy Ide

Associated works : 1

Benjamin Schiller

Associated works : 1

Chris Stahlhut

Associated works : 1

Zubin Jelveh

Associated works : 1

Steffen Eger

Associated works : 1

Zhiyuan Liu

Associated works : 1

Chin-Yew Lin

Associated works : 1

Jeremiah Dittmar

Associated works : 1

Scott McDonald

Associated works : 1

Samantha Finkelstein

Associated works : 1

Jacob Eisenstein

Associated works : 1

Cunchao Tu

Associated works : 1

Haizhou Li

Associated works : 1

Christian Stab

Associated works : 1

Ilias Chalkidis

Associated works : 1

Nikolaos Aletras

Associated works : 1

Alan W Black

Associated works : 1

Tianyang Zhang

Associated works : 1

Bruce Kogut

Associated works : 1

Jong C. Park

Associated works : 1

Christopher Tauchmann

Associated works : 1

Chris Brew

Associated works : 1

Ludovic Denoyer

Associated works : 1

Elijah Mayfield

Associated works : 1

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence ACL-2020

Measuring and Modeling Language Change NAACL-2019

Jacob Eisenstein |

Neural Legal Judgment Prediction in English ACL-2019

Ilias Chalkidis | Ion Androutsopoulos | Nikolaos Aletras |

ArgumenText: Searching for Arguments in Heterogeneous Sources NAACL-2018

That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets EMNLP-2015

William Yang Wang | Diyi Yang |

Detecting Latent Ideology in Expert Text: Evidence From Academic Papers in Economics EMNLP-2014

Zubin Jelveh | Bruce Kogut | Suresh Naidu |

This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics EMNLP-2013

William Yang Wang | Edward Lin | John Kominek |

Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model ACL-2012

William Yang Wang | Elijah Mayfield | Suresh Naidu | Jeremiah Dittmar |

“Love ya, jerkface”: Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens SIGDIAL-2012 WS-2012

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ACL-2012

Shared Corpora Working Group Report LAW-2007 WS-2007

Adam Meyers | Nancy Ide | Ludovic Denoyer | Yusuke Shinyama |

A Distributional Model of Semantic Context Effects in Lexical Processing ACL-2004

Dataset

Legal Opinions

Total Paper Mentions:- 12

First ACL Paper:- 2004

Latest ACL Paper:- 2020

Associated works : 4

Associated works : 2

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 1

Associated works : 5

Associated works : 3

Associated works : 2

Associated works : 2

Associated works : 1

Associated works : 1