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20122024
most citedAutomatic Sarcasm Detection: A Survey

108 citations · 707 across the 92 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.CL2022

Detecting Unintended Social Bias in Toxic Language Datasets

Nihar Sahoo, Himanshu Gupta, Pushpak Bhattacharyya

With the rise of online hate speech, automatic detection of Hate Speech, Offensive texts as a natural language processing task is getting popular. However, very little research has…

cs.CL2022

Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation

Kaveri Kale, Pushpak Bhattacharyya, Aditya Shetty +4

Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptionist. Then the transcriptionist prepares a preliminary formatted report referring…

cs.CL2022

Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

Ankush Agarwal, Raj Gite, Shreya Laddha +6

In the commercial aviation domain, there are a large number of documents, like, accident reports (NTSB, ASRS) and regulatory directives (ADs). There is a need for a system to acces…

cs.CL2022

A Multimodal Corpus for Emotion Recognition in Sarcasm

Anupama Ray, Shubham Mishra, Apoorva Nunna +1

While sentiment and emotion analysis have been studied extensively, the relationship between sarcasm and emotion has largely remained unexplored. A sarcastic expression may have a…

cs.CL2022

Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Sandhya Singh, Prapti Roy, Nihar Sahoo +8

Movies reflect society and also hold power to transform opinions. Social biases and stereotypes present in movies can cause extensive damage due to their reach. These biases are no…

cs.CL2022

EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues

Gopendra Vikram Singh, Priyanshu Priya, Mauajama Firdaus +2

The long-standing goal of Artificial Intelligence (AI) has been to create human-like conversational systems. Such systems should have the ability to develop an emotional connection…