3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Neural models for Factual Inconsistency Classification with Explanations
Tathagata Raha, Mukund Choudhary, Abhinav Menon +4
Factual consistency is one of the most important requirements when editing high quality documents. It is extremely important for automatic text generation systems like summarizatio…
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…
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks
J Ganesh, Manish Gupta, Vasudeva Varma
Research in social media analysis is experiencing a recent surge with a large number of works applying representation learning models to solve high-level syntactico-semantic tasks…