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GrASP: A Library for Extracting and Exploring Human-Interpretable
  Textual Patterns

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns

8 April 2021
Piyawat Lertvittayakumjorn
Leshem Choshen
Eyal Shnarch
Francesca Toni
ArXivPDFHTML

Papers citing "GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns"

6 / 6 papers shown
Title
MuLER: Detailed and Scalable Reference-based Evaluation
MuLER: Detailed and Scalable Reference-based Evaluation
Taelin Karidi
Leshem Choshen
Gal Patel
Omri Abend
25
0
0
24 May 2023
Argumentative Explanations for Pattern-Based Text Classifiers
Argumentative Explanations for Pattern-Based Text Classifiers
Piyawat Lertvittayakumjorn
Francesca Toni
14
4
0
22 May 2022
Explainable Patterns for Distinction and Prediction of Moral Judgement
  on Reddit
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
Ion Stagkos Efstathiadis
Guilherme Paulino-Passos
Francesca Toni
24
8
0
26 Jan 2022
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
161
107
0
17 Apr 2021
Unsupervised Expressive Rules Provide Explainability and Assist Human
  Experts Grasping New Domains
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Eyal Shnarch
Leshem Choshen
Guy Moshkowich
Noam Slonim
R. Aharonov
89
9
0
19 Oct 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,347
0
25 Aug 2014
1