Capturing Knowledge of Emerging Entities From Extended Search Snippets

1 code implementation • 17 Mar 2021 • Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi

The current encyclopedias are limited to highly popular entities, which are far fewer compared with the emerging entities.

Entity Embeddings

Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan

no code implementations • WS 2019 • Faisal Alshargi, Shahd Dibas, Sakhar Alkhereyf, Reem Faraj, Basmah Abdulkareem, Sane Yagi, Ouafaa Kacha, Nizar Habash, Owen Rambow

These corpora will be publicly available to serve as benchmarks for training and evaluating systems for Arabic dialect morphological analysis and disambiguation.

Morphological Analysis

Analyzing and learning the language for different types of harassment

no code implementations • 1 Nov 2018 • Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth

In this paper, we introduce the notion of contextual type to harassment involving five categories: (i) sexual, (ii) racial, (iii) appearance-related, (iv) intellectual and (v) political.

Vocal Bursts Type Prediction

Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts

1 code implementation • 12 Mar 2018 • Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit Sheth

This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space.