2 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints
Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey +5
Autocomplete is a task where the user inputs a piece of text, termed prompt, which is conditioned by the model to generate semantically coherent continuation. Existing works for th…
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
Hila Gonen, Ganesh Jawahar, Djamé Seddah +1
The problem of comparing two bodies of text and searching for words that differ in their usage between them arises often in digital humanities and computational social science. Thi…
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing
Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed +1
We describe models focused at the understudied problem of translating between monolingual and code-mixed language pairs. More specifically, we offer a wide range of models that con…
Interpretation of Semantic Tweet Representations
J Ganesh, Manish Gupta, Vasudeva Varma
Research in analysis of microblogging platforms is experiencing a renewed surge with a large number of works applying representation learning models for applications like sentiment…
Improving Tweet Representations using Temporal and User Context
Ganesh J, Manish Gupta, Vasudeva Varma
In this work we propose a novel representation learning model which computes semantic representations for tweets accurately. Our model systematically exploits the chronologically a…