Avisha Das

According to our database, Avisha Das authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers.

Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues.

Avisha Das, Salih Selek, Alia R. Warner, Xu Zuo, Yan Hu, Vipina Kuttichi Keloth, Jianfu Li, W. Jim Zheng, Hua Xu

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2020

Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models.

Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee

CoRR, 2020

Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners.

Avisha Das, Rakesh M. Verma

CoRR, 2020

SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective.

Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar

IEEE Commun. Surv. Tutorials, 2020

Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics.

Avisha Das, Rakesh M. Verma

IEEE Access, 2020

An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs.

Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma

IEEE Access, 2020

Diverse Datasets and a Customizable Benchmarking Framework for Phishing.

Victor Zeng, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Luis Felipe Teixeira De Moraes, Avisha Das

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

2019

Automated email Generation for Targeted Attacks using Natural Language.

Avisha Das, Rakesh M. Verma

CoRR, 2019

2018

Citance-based retrieval and summarization using IR and machine learning.

Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Azadeh Shakery, Rakesh M. Verma

Scientometrics, 2018

University of Houston @ CL-SciSumm 2018.

Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma

Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

2017

University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment.

Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Rakesh M. Verma

Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

What's in a URL: Fast Feature Extraction and Malicious URL Detection.

Rakesh M. Verma, Avisha Das

Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics, 2017