Search Results for author: Valerie Shalin

Found 5 papers, 1 papers with code

Knowledge Graph semantic enhancement of input data for improving AI

no code implementations10 May 2020 Shreyansh Bhatt, Amit Sheth, Valerie Shalin, Jinjin Zhao

Intelligent systems designed using machine learning algorithms require a large number of labeled data.

Community Detection

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate

no code implementations18 Aug 2019 Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, K. Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth

Our study makes three contributions to reliable analysis: (i) Development of a computational approach rooted in the contextual dimensions of religion, ideology, and hate that reflects strategies employed by online Islamist extremist groups, (ii) An in-depth analysis of relevant tweet datasets with respect to these dimensions to exclude likely mislabeled users, and (iii) A framework for understanding online radicalization as a process to assist counter-programming.

A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research

no code implementations26 Feb 2018 Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth

In this paper, we publish first, a quality annotated corpus and second, an offensive words lexicon capturing different types type of harassment as (i) sexual harassment, (ii) racial harassment, (iii) appearance-related harassment, (iv) intellectual harassment, and (v) political harassment. We crawled data from Twitter using our offensive lexicon.

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

1 code implementation COLING 2018 Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth

Extracting location names from informal and unstructured social media data requires the identification of referent boundaries and partitioning compound names.

Language Modelling

CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation

no code implementations19 Jan 2017 Saeedeh Shekarpour, Faisal Al-Shargi, Valerie Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth

These use-cases demonstrate the benefits of using CEVO for annotation: (i) annotating English verbs from an abstract conceptualization, (ii) playing the role of an upper ontology for organizing ontological properties, and (iii) facilitating the annotation of text relations using any underlying vocabulary.

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