30 citations · 59 across the 6 of their papers we have counts for
6 papers
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics
Yao Gu, Mayank Kejriwal
In social media like Twitter, hashtags carry a lot of semantic information and can be easily distinguished from the main text. Exploring and visualizing the space of hashtags in a…
A Pipeline for Post-Crisis Twitter Data Acquisition
Mayank Kejriwal, Yao Gu
Due to instant availability of data on social media platforms like Twitter, and advances in machine learning and data management technology, real-time crisis informatics has emerge…
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining
Mayank Kejriwal, Jiayuan Ding, Runqi Shao +2
In this paper, we describe and study the indicator mining problem in the online sex advertising domain. We present an in-development system, FlagIt (Flexible and adaptive generatio…
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
Kyle Hundman, Thamme Gowda, Mayank Kejriwal +1
Web-based human trafficking activity has increased in recent years but it remains sparsely dispersed among escort advertisements and difficult to identify due to its often-latent n…
Supervised Typing of Big Graphs using Semantic Embeddings
Mayank Kejriwal, Pedro Szekely
We propose a supervised algorithm for generating type embeddings in the same semantic vector space as a given set of entity embeddings. The algorithm is agnostic to the derivation…
Information Extraction in Illicit Domains
Mayank Kejriwal, Pedro Szekely
Extracting useful entities and attribute values from illicit domains such as human trafficking is a challenging problem with the potential for widespread social impact. Such domain…