In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

Meetings are a key component of human collaboration. As increasing numbers of meetings
are recorded and transcribed, meeting summaries have become essential to remind those …

Over-dependence on domain ontology and lack of knowledge sharing across domains are
two practical and yet less studied problems of dialogue state tracking. Existing approaches …

Numerous approaches for identifying important content for automatic text summarization
have been developed to date. Topic representation approaches first derive an intermediate …

We design a class of submodular functions meant for document summarization tasks. These
functions each combine two terms, one which encourages the summary to be representative …

Understanding natural language involves recognizing how multiple event mentions
structurally and temporally interact with each other. In this process, one can induce event …

It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

Text Summarization is condensing the source text into a shorter version preserving its
information content and overall meaning. It is very difficult for human beings to manually …

The past few years have witnessed increased interest in the potential use of wireless sensor
networks (WSNs) in applications such as disaster management, combat field …

In this paper, we propose a simple, fast decoding algorithm that fosters diversity in neural
generation. The algorithm modifies the standard beam search algorithm by adding an inter …