The recent rise of social media has led to the spread of large amounts o...
Experts across diverse disciplines are often interested in making sense ...
Climate change is the defining issue of our time, and we are at a defini...
Data scarcity is a common problem in NLP, especially when the annotation...
Automated Program Repair (APR) improves software reliability by generati...
Large-scale language models have been reducing the gap between machines ...
Social media platforms are currently the main channel for political
mess...
In the age of social media, where billions of internet users share
infor...
The Covid-19 pandemic has led to infodemic of low quality information le...
Automated attack discovery techniques, such as attacker synthesis or
mod...
Extracting moral sentiment from text is a vital component in understandi...
Social media platforms provide convenient means for users to participate...
Understanding narrative text requires capturing characters' motivations,...
Multiview representation learning of data can help construct coherent an...
Expressive text encoders such as RNNs and Transformer Networks have been...
When evaluating an answer choice for Reading Comprehension task, other a...
Politicians often have underlying agendas when reacting to events. Argum...
Leveraging social media data to understand people's lifestyle choices is...
Although yoga is a multi-component practice to hone the body and mind an...
We describe two end-to-end autoencoding models for semi-supervised
graph...
Cross-lingual document search is an information retrieval task in which ...
We examine a new commonsense reasoning task: given a narrative describin...
Building models for realistic natural language tasks requires dealing wi...
In this paper we suggest a minimally-supervised approach for identifying...
In this paper, we introduce Anomaly Contribution Explainer or ACE, a too...
Various domain users are increasingly leveraging real-time social media ...
Many NLP learning tasks can be decomposed into several distinct sub-task...
Over the last few years, there has been growing interest in learning mod...
Grammar-based fuzzing is a technique used to find software vulnerabiliti...
The ability to comprehend wishes or desires and their fulfillment is
imp...