739 citations · 2.4k across the 93 of their papers we have counts for
7 papers · 1 filter
An Online Multilingual Hate speech Recognition System
Neeraj Vashistha, Arkaitz Zubiaga, Shanky Sharma
The exponential increase in the use of the Internet and social media over the last two decades has changed human interaction. This has led to many positive outcomes, but at the sam…
TF-CR: Weighting Embeddings for Text Classification
Arkaitz Zubiaga
Text classification, as the task consisting in assigning categories to textual instances, is a very common task in information science. Methods learning distributed representations…
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga
This paper describes our contribution to SemEval 2020 Task 8: Memotion Analysis. Our system learns multi-modal embeddings from text and images in order to classify Internet memes b…
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga +1
In this paper, we present the results and main findings of our system for the DIACR-ITA 2020 Task. Our system focuses on using variations of training sets and different semantic de…
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
Rabab Alkhalifa, Arkaitz Zubiaga
This paper presents our submission to the SardiStance 2020 shared task, describing the architecture used for Task A and Task B. While our submission for Task A did not exceed the b…
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
Rabab Alkhalifa, Theodore Yoong, Elena Kochkina +2
This paper describes the participation of the QMUL-SDS team for Task 1 of the CLEF 2020 CheckThat! shared task. The purpose of this task is to determine the check-worthiness of twe…
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
Arkaitz Zubiaga
Text classification is one of the most frequent tasks for processing textual data, facilitating among others research from large-scale datasets. Embeddings of different kinds have…