activity
20182020
most citedA Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions

35 citations · 55 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL20201 cited

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

Sashank Santhanam, Alireza Karduni, Samira Shaikh

Humans quite frequently interact with conversational agents. The rapid advancement in generative language modeling through neural networks has helped advance the creation of intell…

cs.CL20192 cited

Natural Language Generation Using Reinforcement Learning with External Rewards

Vidhushini Srinivasan, Sashank Santhanam, Samira Shaikh

We propose an approach towards natural language generation using a bidirectional encoder-decoder which incorporates external rewards through reinforcement learning (RL). We use att…

cs.CL20197 cited

Emotional Neural Language Generation Grounded in Situational Contexts

Sashank Santhanam, Samira Shaikh

Emotional language generation is one of the keys to human-like artificial intelligence. Humans use different type of emotions depending on the situation of the conversation. Emotio…

cs.CL2019

Towards Best Experiment Design for Evaluating Dialogue System Output

Sashank Santhanam, Samira Shaikh

To overcome the limitations of automated metrics (e.g. BLEU, METEOR) for evaluating dialogue systems, researchers typically use human judgments to provide convergent evidence. Whil…

cs.SI201910 cited

I Stand With You: Using Emojis to Study Solidarity in Crisis Events

Sashank Santhanam, Vidhushini Srinivasan, Shaina Glass +1

We study how emojis are used to express solidarity in social media in the context of two major crisis events - a natural disaster, Hurricane Irma in 2017 and terrorist attacks that…

cs.CL201935 cited

A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions

Sashank Santhanam, Samira Shaikh

One of the hardest problems in the area of Natural Language Processing and Artificial Intelligence is automatically generating language that is coherent and understandable to human…