28 citations · 72 across the 55 of their papers we have counts for
12 papers · 1 filter
ReDDIT: Regret Detection and Domain Identification from Text
Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov +1
In this paper, we present a study of regret and its expression on social media platforms. Specifically, we present a novel dataset of Reddit texts that have been classified into th…
Transformer-based Model for Word Level Language Identification in Code-mixed Kannada-English Texts
Atnafu Lambebo Tonja, Mesay Gemeda Yigezu, Olga Kolesnikova +3
Using code-mixed data in natural language processing (NLP) research currently gets a lot of attention. Language identification of social media code-mixed text has been an interesti…
CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Texts
H. L. Shashirekha, F. Balouchzahi, M. D. Anusha +1
The task of automatically identifying a language used in a given text is called Language Identification (LI). India is a multilingual country and many Indians especially youths are…
PolyHope: Two-Level Hope Speech Detection from Tweets
Fazlourrahman Balouchzahi, Grigori Sidorov, Alexander Gelbukh
Hope is characterized as openness of spirit toward the future, a desire, expectation, and wish for something to happen or to be true that remarkably affects human's state of mind,…
Sarcasm Detection Framework Using Context, Emotion and Sentiment Features
Oxana Vitman, Yevhen Kostiuk, Grigori Sidorov +1
Sarcasm detection is an essential task that can help identify the actual sentiment in user-generated data, such as discussion forums or tweets. Sarcasm is a sophisticated form of l…
The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation
Tadesse Destaw Belay, Atnafu Lambebo Tonja, Olga Kolesnikova +5
Machine translation (MT) is one of the main tasks in natural language processing whose objective is to translate texts automatically from one natural language to another. Nowadays,…
Mapping Process for the Task: Wikidata Statements to Text as Wikipedia Sentences
Hoang Thang Ta, Alexander Gelbukha, Grigori Sidorov
Acknowledged as one of the most successful online cooperative projects in human society, Wikipedia has obtained rapid growth in recent years and desires continuously to expand cont…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020
Maaz Amjad, Grigori Sidorov, Alisa Zhila +2
This overview paper describes the first shared task on fake news detection in Urdu language. The task was posed as a binary classification task, in which the goal is to differentia…
Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021
Maaz Amjad, Alisa Zhila, Grigori Sidorov +5
With the growth of social media platform influence, the effect of their misuse becomes more and more impactful. The importance of automatic detection of threatening and abusive lan…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021
Maaz Amjad, Sabur Butt, Hamza Imam Amjad +3
Automatic detection of fake news is a highly important task in the contemporary world. This study reports the 2nd shared task called UrduFake@FIRE2021 on identifying fake news dete…
Job Offers Classifier using Neural Networks and Oversampling Methods
Germán Ortiz, Gemma Bel Enguix, Helena Gómez-Adorno +2
Both policy and research benefit from a better understanding of individuals' jobs. However, as large-scale administrative records are increasingly employed to represent labor marke…
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning
Iqra Ameer, Muhammad Arif, Grigori Sidorov +2
Given the current social distance restrictions across the world, most individuals now use social media as their major medium of communication. Millions of people suffering from men…