activity
20142019
most citedHateminers : Detecting Hate speech against Women

37 citations · 79 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2019

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings

Abhik Jana, Dmitry Puzyrev, Alexander Panchenko +3

The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constituents and their grammatical rela…

cs.SI2019

DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow

Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh +3

In this paper, we develop a content-cum-user based deep learning framework DeepTagRec to recommend appropriate question tags on Stack Overflow. The proposed system learns the conte…

cs.CL2019

Misleading Metadata Detection on YouTube

Priyank Palod, Ayush Patwari, Sudhanshu Bahety +2

YouTube is the leading social media platform for sharing videos. As a result, it is plagued with misleading content that includes staged videos presented as real footages from an i…

cs.SI201837 cited

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…

cs.CL2018

Detecting Reliable Novel Word Senses: A Network-Centric Approach

Abhik Jana, Animesh Mukherjee, Pawan Goyal

In this era of Big Data, due to expeditious exchange of information on the web, words are being used to denote newer meanings, causing linguistic shift. With the recent availabilit…

cs.CL20162 cited

A Two-Phase Approach Towards Identifying Argument Structure in Natural Language

Arkanath Pathak, Pawan Goyal, Plaban Bhowmick

We propose a new approach for extracting argument structure from natural language texts that contain an underlying argument. Our approach comprises of two phases: Score Assignment…