With the rapid development of information technology, online platforms have produced
enormous text resources. As a particular form of Information Extraction (IE), Event Extraction …

We describe Hafez, a program that generates any number of distinct poems on a
usersupplied topic. Poems obey rhythmic and rhyme constraints. We describe the …

With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …

We address the problem of detecting expressions of moral values in tweets using content
analysis. This is a particularly challenging problem because moral values are often only …

Despite attempts to increase gender parity in politics, global efforts have struggled to ensure
equal female representation. This is likely tied to implicit gender biases against women in …

Entity Linking (EL) systems aim to automatically map mentions of an entity in text to the
corresponding entity in a Knowledge Graph (KG). Degree of connectivity of an entity in the …

Graph Convolutional Networks (GCN) have achieved state-of-art results on single text
classification tasks like sentiment analysis, emotion detection, etc. However, the …

Non-figurative prehistoric art is comparatively common yet challenging to decode and hence
to understand. At the heart of the difficulty of assessing the presence of semiotic structure in …

The automatic disease diagnosis utilizing clinical data has been suffering from the issues of
feature sparse and high probability of missing values. Since the graph neural network is a …

We propose a computational approach for recipe ideation, a downstream task that helps
users select and gather ingredients for creating dishes. To perform this task, we developed …