1. A deep network model for paraphrase detection in short text messages
2. Suha S. Al-Thanyyan and Aqil M. Azmi . 2021. Automated Text Simplification: A Survey. ACM Comput. Surv. 54, 2 , Article 43 (March 2021 ), 36 pages. https://doi.org/10.1145/3442695 10.1145/3442695 Suha S. Al-Thanyyan and Aqil M. Azmi. 2021. Automated Text Simplification: A Survey. ACM Comput. Surv. 54, 2, Article 43 (March 2021), 36 pages. https://doi.org/10.1145/3442695
3. Oliver Alonzo , Matthew Seita , Abraham Glasser , and Matt Huenerfauth . 2020. Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy . Association for Computing Machinery , New York, NY, USA , 1–13. https://doi.org/10.1145/3313831.3376563 10.1145/3313831.3376563 Oliver Alonzo, Matthew Seita, Abraham Glasser, and Matt Huenerfauth. 2020. Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376563
4. Data-Driven Sentence Simplification: Survey and Benchmark
5. Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube