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Found 4 papers, 0 papers with code
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues
Through quantitative evaluation of the linguistic quality, we observe that the dialog generation model - DialoGPT (345M) with transfer learning on video data attains scores similar to a human response baseline.
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
In this paper, we revisit the challenging problem of unsupervised single-document summarization and study the following aspects: Integer linear programming (ILP) based algorithms, Parameterized normalization of term and sentence scores, and Title-driven approaches for summarization.
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social engineering-based attacks.
Automated email Generation for Targeted Attacks using Natural Language
Using legitimate as well as an influx of varying malicious content, the proposed deep learning system generates \textit{fake} emails with malicious content, customized depending on the attacker's intent.
