nlp

The paper describes the MilaNLP team’s submission (Bocconi University, Milan) in the WASSA 2021 Shared Task on Empathy Detection and Emotion Classification. We focus on Track 2 - Emotion Classification - which consists of predicting the emotion of …

We introduce a novel topic modeling method that can make use of contextulized embeddings (e.g., BERT) to do zero-shot cross-lingual topic modeling.

**Automatic Misogyny Identification (AMI)** is a **shared task** proposed at the Evalita 2020 evaluation campaign. The AMI challenge, based on **Italian tweets**, is organized into two subtasks: (1) Subtask A about misogyny and aggressiveness …

Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. …

**Hate speech** may take different forms in online social environments. In this paper, we address the problem of automatic detection of misogynous language on **Italian tweets** by focusing both on raw text and stylometric profiles. The proposed …

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 …

In this paper we deal with complex attributed graphs which can exhibit rich connectivity patterns and whose nodes are often associated with attributes, such as text or images. In order to analyze these graphs, the primary challenge is to find an …