Search Results for author:
Found 5 papers, 4 papers with code
ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation
We contribute a novel dataset for the evidence-grounded local citation recommendation task and demonstrate the efficacy of our proposed conditional neural rank-ensembling approach for re-ranking evidence spans.
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
We model sentence-specific popularity forecasting as a sequence regression task.
Summaformers @ LaySumm 20, LongSumm 20
Traditionally, various feature engineering and machine learning based systems have been proposed for extractive as well as abstractive text summarization.
Ranked #2 on
Extended Summarization
on Longsumm Blind Test
Task Adaptive Pretraining of Transformers for Hostility Detection
Identifying adverse and hostile content on the web and more particularly, on social media, has become a problem of paramount interest in recent years.
Leveraging Multilingual Transformers for Hate Speech Detection
Our work leverages state of the art Transformer language models to identify hate speech in a multilingual setting.
