no code implementations • CONSTRAINT (ACL) 2022 • Pranaydeep Singh, Aaron Maladry, Els Lefever
This paper describes the system we developed for the shared task ‘Hero, Villain and Victim: Dissecting harmful memes for Semantic role labelling of entities’ organised in the framework of the Second Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (Constraint 2022).
no code implementations • WASSA (ACL) 2022 • Ellen De Geyndt, Orphee De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, Veronique Hoste
In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
no code implementations • COLING 2022 • Pranaydeep Singh, Els Lefever
In this research, we present pilot experiments to distil monolingual models from a jointly trained model for 102 languages (mBERT).
1 code implementation • EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 • Pranaydeep Singh, Gorik Rutten, Els Lefever
This paper presents a pilot study to automatic linguistic preprocessing of Ancient and Byzantine Greek, and morphological analysis more specifically.
1 code implementation • SIGUL (LREC) 2022 • Pranaydeep Singh, Orphee De Clercq, Els Lefever
This paper reports on experiments for cross-lingual transfer using the anchor-based approach of Schuster et al. (2019) for English and a low-resourced language, namely Hindi.
no code implementations • SEMEVAL 2021 • Pranaydeep Singh, Els Lefever
Internet memes have become ubiquitous in social media networks today.
no code implementations • SEMEVAL 2020 • Pranaydeep Singh, Nina Bauwelinck, Els Lefever
Internet memes have become a very popular mode of expression on social media networks today.
no code implementations • 23 Nov 2020 • Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava
When performing Polarity Detection for different words in a sentence, we need to look at the words around to understand the sentiment.
Ranked #13 on
Aspect-Based Sentiment Analysis (ABSA)
on SemEval-2014 Task-4
(Restaurant (Acc) metric)
no code implementations • SEMEVAL 2020 • Pranaydeep Singh, Els Lefever
The second approach incorporates pre-trained English embeddings that are incrementally retrained with a set of Hinglish tweets.
no code implementations • LREC 2020 • Pranaydeep Singh, Els Lefever
We specifically investigate the use of these embeddings for a sentiment analysis task for Hinglish Tweets, viz.
no code implementations • LREC 2020 • Els Lefever, Sofie Labat, Pranaydeep Singh
This paper investigates the validity of combining more traditional orthographic information with cross-lingual word embeddings to identify cognate pairs in English-Dutch and French-Dutch.
no code implementations • 22 Aug 2018 • Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava
We try to address the problem of document layout understanding using a simple algorithm which generalizes across multiple domains while training on just few examples per domain.