37 citations · 37 across the 2 of their papers we have counts for
8 papers
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
Binny Mathew, Sandipan Sikdar, Florian Lemmerich +1
We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic differentials are a psychometric con…
HateMonitors: Language Agnostic Abuse Detection in Social Media
Punyajoy Saha, Binny Mathew, Pawan Goyal +1
Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed. On the ot…
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs
Binny Mathew, Suman Kalyan Maity, Pawan Goyal +1
Quora is a popular Q&A site which provides users with the ability to tag questions with multiple relevant topics which helps to attract quality answers. These topics are not predef…
Hate begets Hate: A Temporal Study of Hate Speech
Binny Mathew, Anurag Illendula, Punyajoy Saha +3
With the ongoing debate on 'freedom of speech' vs. 'hate speech' there is an urgent need to carefully understand the consequences of the inevitable culmination of the two, i.e., 'f…
Hateminers : Detecting Hate speech against Women
Punyajoy Saha, Binny Mathew, Pawan Goyal +1
With the online proliferation of hate speech, there is an urgent need for systems that can detect such harmful content. In this paper, We present the machine learning models develo…
Analyzing the hate and counter speech accounts on Twitter
Binny Mathew, Navish Kumar, Ravina +2
The online hate speech is proliferating with several organization and countries implementing laws to ban such harmful speech. While these restrictions might reduce the amount of su…