Research Explorer

Uw browser ondersteunt geen JavaScript of JavaScript is niet ingeschakeld. Zonder JavaScript kan sommige functionaliteit van deze webapplicatie uitgeschakeld zijn of foutmeldingen veroorzaken. Raadpleeg om JavaScript in te schakelen de handleiding van uw browser of contacteer uw systeembeheerder.

Onderzoeker

Pranaydeep Singh

13 Resultaten

2022

Combining Language Models and Linguistic Information to Label Entities in Memes

Pranaydeep SinghAaron MaladryEls Lefever

Investigating the quality of static anchor embeddings from transformers for under-resourced languages

Pranaydeep SinghOrphée De ClercqEls Lefever

SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis

Ellen De GeyndtOrphée De ClercqCynthia Van HeeEls LefeverPranaydeep SinghOlivier ParentVeronique Hoste

2021

A pilot study for BERT language modelling and morphological analysis for ancient and medieval Greek

Pranaydeep SinghGorik RuttenEls Lefever

Aspect-based sentiment analysis for German : analyzing 'talk of literature' surrounding literary prizes on social media

Lore De GrevePranaydeep SinghCynthia Van HeeEls LefeverGunther Martens

A2 Artikel in een tijdschrift in COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL

Aspect-based sentiment analysis for German : analyzing 'talk of literature' surrounding literary prizes on social media

Lore De GreveGunther MartensCynthia Van HeePranaydeep SinghEls Lefever

LT3 at SemEval-2021 Task 6 : using multi-modal compact bilinear pooling to combine visual and textual understanding in memes

Pranaydeep SinghEls Lefever

Literary criticism 2.0 : a digital analysis of the professional and community-driven evaluative talk of literature surrounding the Ingeborg Bachmann Prize

Gunther MartensLore De GrevePranaydeep Singh

2020

Does BERT understand sentiment? Leveraging comparisons between contextual and non-contextual embeddings to improve aspect-based sentiment models

Natesh ReddyPranaydeep SinghMuktabh Mayank Srivastava

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings

Els LefeverSofie LabatPranaydeep Singh

LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text

Pranaydeep SinghEls Lefever

Multi-domain document layout understanding using few-shot object detection

Pranaydeep SinghSrikrishna VaradarajanAnkit Narayan SinghMuktabh Mayank Srivastava

Sentiment analysis for Hinglish code-mixed tweets by means of cross-lingual word embeddings

Pranaydeep SinghEls Lefever