The application of research practices and methodologies from the Information and
Communication Technologies to Humanities studies is having a great impact on the way …

Skills play a central role in the job market and many human resources (HR) processes. In
the wake of other digital experiences, today's online job market has candidates expecting to …

This paper contributes to the pursuit of leveraging unstructured medical notes to structured
clinical decision making. In particular, we present a pipeline for clinical information …

This paper deals with a new filter algorithm for selecting the smallest subset of features
carrying all the information content of a dataset (ie for removing redundant features). It is an …

Existing approaches to normalize time expressions highly rely on expert-engineered rules or
grammars, which are labor-intensive and difficult to scale to different scenarios. In this …

Distant supervision is a popular method for performing relation extraction from text that is
known to produce noisy labels. Most progress in relation extraction and classification has …

In this chapter, we present the motivation of this thesis, as well as related work on
crowdsourcing ground truth for natural language processing. We introduce the CrowdTruth …

Abstract Knowledge bases are essential in developing expert intelligent systems to solve
domain specific problems. The low availability of detailed knowledge bases is a byproduct of …

Purpose Sarcasm is often used in everyday speech and writing and is prevalent in online
contexts. The purpose of this paper is to investigate the analogy between sarcasm …

Adversarial training is a technique of improving model performance by involving adversarial
examples in the training process. In this paper, we investigate adversarial training with …