Governments worldwide are increasingly engaging with both citizens and non-citizens via online social networks. This trend reflects the fact that these platforms have become primary sources of news and crucial forums for public discussion. China i...
Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...
Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...
Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. Advances in this architecture include introducing reinforcement learning to t...
Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. Advances in this architecture include introducing reinforcement learning to t...
This research designs the Eris model, a novel, agent-based computational model that can aid researchers in answering questions regarding the explanation and prediction of identity-based conflict and genocide. At its most fundamental level, this wo...
This research designs the Eris model, a novel, agent-based computational model that can aid researchers in answering questions regarding the explanation and prediction of identity-based conflict and genocide. At its most fundamental level, this wo...
Data mining techniques gained acceptance as a clear means of finding information in data. In the past, these techniques have been effectively applied to discover patterns, find correlations, extract information from unstructured data. Often overlo...
Data mining techniques gained acceptance as a clear means of finding information in data. In the past, these techniques have been effectively applied to discover patterns, find correlations, extract information from unstructured data. Often overlo...
State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these rapid advancements, the current generation of conversational agents suffers from th...
State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these rapid advancements, the current generation of conversational agents suffers from th...
Recent advances in the field of Natural Language Processing, specifically in Natural Language Generation (NLG) towards Dialogue Systems have focused mainly on two-party conversations. However, group conversations or multi-party conversations (MPC)...
