activity
20172023
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 954 across the 12 of their papers we have counts for

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Showing cs.CLShow all

9 papers · 1 filter

cs.CL20221 cited

XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages

Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh +3

Multiple business scenarios require an automated generation of descriptive human-readable text from structured input data. Hence, fact-to-text generation systems have been develope…

cs.CL2022

DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection

Nic Jedema, Thuy Vu, Manish Gupta +1

While transformers demonstrate impressive performance on many knowledge intensive (KI) tasks, their ability to serve as implicit knowledge bases (KBs) remains limited, as shown on…

cs.CL20218 cited

Summaformers @ LaySumm 20, LongSumm 20

Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain +2

Automatic text summarization has been widely studied as an important task in natural language processing. Traditionally, various feature engineering and machine learning based syst…

cs.CL2020

AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts

Mohit Chandra, Ashwin Pathak, Eesha Dutta +4

While extensive popularity of online social media platforms has made information dissemination faster, it has also resulted in widespread online abuse of different types like hate…

cs.CL202094 cited

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma

With the ever-increasing cases of hate spread on social media platforms, it is critical to design abuse detection mechanisms to proactively avoid and control such incidents. While…

cs.CL201911 cited

Hybrid MemNet for Extractive Summarization

Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma

Extractive text summarization has been an extensive research problem in the field of natural language understanding. While the conventional approaches rely mostly on manually compi…