We explore the impact of leveraging the relatedness of languages that be...
Weakly-supervised table question-answering(TableQA) models have achieved...
Spoken intent detection has become a popular approach to interface with
...
Recently, there is increasing interest in multilingual automatic speech
...
This paper proposes a novel neural model for the understudied task of
ge...
The growing memory footprints of cloud and big data applications mean th...
In this paper, we present a new paradigm to zero-shot learning (ZSL) tha...
This paper presents a framework which enables a user to more easily make...
Semantic parsing over multiple knowledge bases enables a parser to explo...
Converting an n-dimensional vector to a probability distribution over n
...
The paper presents a first attempt towards unsupervised neural text
simp...
We present a framework for generating natural language description from
...
We propose a novel framework for controllable natural language
transform...
Coherence of text is an important attribute to be measured for both manu...
We propose DuoRC, a novel dataset for Reading Comprehension (RC) that
mo...
Structured data summarization involves generation of natural language
su...
In this work, we focus on the task of generating natural language
descri...
While conversing with chatbots, humans typically tend to ask many questi...
Existing Natural Language Generation (NLG) systems are weak AI systems a...
Much work has been done in understanding human creativity and defining
m...
While multimodal conversation agents are gaining importance in several
d...