Macro F1 Score

AbstractWe contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification. It is collected from 26 fact checking websites in English, paired …...

AbstractInternet memes emotion recognition is focused by many researchers. In this paper, we adopt BERT and ResNet for evaluation of detecting the emotions of Internet memes. We focus on solving …...

AbstractNamed entity typing (NET) is a classification task of assigning an entity mention in the context with given semantic types. However, with the growing size and granularity of the entity …...

AbstractThis paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity …...

AbstractPhysical places help shape how we perceive the experiences we have there. We study the relationship between social media text and the type of the place from where it was …...

AbstractHate speech and toxic comments are a common concern of social media platform users. Although these comments are, fortunately, the minority in these platforms, they are still capable of causing …...

AbstractWe introduce the well-established social scientific concept of social solidarity and its contestation, anti-solidarity, as a new problem setting to supervised machine learning in NLP to assess how European solidarity …...

AbstractWe propose the mixed-attention-based Generative Adversarial Network (named maGAN), and apply it for citation intent classification in scientific publication. We select domain-specific training data, propose a mixed-attention mechanism, and employ …...

AbstractWe present AnonData, a large multilingual dataset for Named Entity Recognition that covers 3 domains (Wiki sentences, questions, and search queries) across 11 languages, as well as multilingual and code-mixing …...

We present the results of a project perform- ing sentiment analysis on tweets from Ger- man politicians and party accounts for the 2021 German federal election. We collected over 58,000 …...

AbstractIn this paper, we describe our efforts at SemEval 2022 Shared Task 4 on Patronizing and Condescending Language (PCL) Detection. This is the first shared task to detect PCL which …...

Named entity recognition (NER) is a sub- task in the field of information extraction in natural language processing (NLP). Its main goal is to recognize named entities in text and …...