Language Modeling by Clustering with Word Embeddings for Text Readability Assessment

5 September 2017

Papers citing "Language Modeling by Clustering with Word Embeddings for Text Readability Assessment"

10 / 10 papers shown

Title
Strategies for Arabic Readability Modeling Juan David Pineros Liberato Bashar Alhafni Muhamed Al Khalil Nizar Habash 83 1 0 03 Jul 2024
Cross-corpus Readability Compatibility Assessment for English Texts Zhenzhen Li Han Ding Shaohong Zhang 72 1 0 16 Jun 2023
A Neural Pairwise Ranking Model for Readability Assessment Justin Lee Sowmya Vajjala 63 33 0 14 Mar 2022
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom Garrett Allen Jie Yang M. S. Pera U. Gadiraju 51 1 0 30 Nov 2021
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index Hairo U. Miranda Belmonte Victor Muniz-Sánchez F. Corona 21 11 0 29 Oct 2021
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons Anastasia Zhukova Felix Hamborg K. Donnay Bela Gipp 30 1 0 02 Jul 2021
Trends, Limitations and Open Challenges in Automatic Readability Assessment Research Sowmya Vajjala 104 48 0 03 May 2021
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! Suzanna Sia Ayush Dalmia Sabrina J. Mielke 132 157 0 30 Apr 2020
Clustering without Over-Representation Sara Ahmadian Alessandro Epasto Ravi Kumar Mohammad Mahdian 63 103 0 29 May 2019
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach Tiehang Duan Qi Lou S. Srihari Xiaohui Xie BDL 31 5 0 29 Nov 2018