1 citations · 2 across the 9 of their papers we have counts for
3 papers · 1 filter
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation
Akshay Batheja, Sourabh Deoghare, Diptesh Kanojia +1
Automatic Post-Editing (APE) is the task of automatically identifying and correcting errors in the Machine Translation (MT) outputs. We propose a repair-filter-use methodology that…
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning
Sapan Shah, Sreedhar Reddy, Pushpak Bhattacharyya
We present a novel retrofitting method to induce emotion aspects into pre-trained language models (PLMs) such as BERT and RoBERTa. Our method updates pre-trained network weights us…
Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection
Swapnil Bhosale, Abhra Chaudhuri, Alex Lee Robert Williams +5
The introduction of the MUStARD dataset, and its emotion recognition extension MUStARD++, have identified sarcasm to be a multi-modal phenomenon -- expressed not only in natural la…