NLP

Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success

When interacting with each other, we motivate, advise, inform, show love or power towards our peers. However, the way we interact may also hold some indication on how successful we are, as people often try to help each other to achieve their goals. …

What the [MASK]? Making Sense of Language-Specific BERT Models

Recently, Natural Language Processing (NLP) has witnessed an impressive progress in many areas, due to the advent of novel, pretrained contextual representation models. In particular, Devlin et al. (2019) proposed a model, called BERT (Bidirectional …

INTEGRATOR

Incorporating Demographic Factors into Natural Language Processing Models

MiMac

Mixed methods for analyzing political parties’ promises to voters during election campaigns

MONICA

MONItoring Coverage, Attitudes and Accessibility of Italian measures in response to COVID-19

Twitter Healthy Conversations

Devising Metrics for Assessing Echo Chambers, Incivility, and Intolerance on Twitter

A Case for Soft Loss Functions

Recently, Peterson et al. provided evidence of the benefits of using probabilistic soft labels generated from crowd annotations for training a computer vision model, showing that using such labels maximizes performance of the models over unseen data. …

Fake opinion detection: how similar are crowdsourced datasets to real data?

Identifying deceptive online reviews is a challenging tasks for Natural Language Processing (NLP). Collecting corpora for the task is difficult, because normally it is not possible to know whether reviews are genuine. A common workaround involves …

Dense Node Representation for Geolocation

Prior research has shown that geolocation can be substantially improved by including user network information. While effective, it suffers from the curse of dimensionality, since networks are usually represented as sparse adjacency matrices of …

Geolocation with Attention-Based Multitask Learning Models

Geolocation, predicting the location of a post based on text and other information, has a huge potential for several social media applications. Typically, the problem is modeled as either multi-class classification or regression. In the first case, …