Search Results for author: Moin Nadeem

Found 7 papers, 2 papers with code

StereoSet: Measuring stereotypical bias in pretrained language models

2 code implementations ACL 2021 Moin Nadeem, Anna Bethke, Siva Reddy

Since pretrained language models are trained on large real world data, they are known to capture stereotypical biases.

Bias Detection

Neural Multi-Task Learning for Stance Prediction

no code implementations WS 2019 Wei Fang, Moin Nadeem, Mitra Mohtarami, James Glass

We present a multi-task learning model that leverages large amount of textual information from existing datasets to improve stance prediction.

Multi-Task Learning

FAKTA: An Automatic End-to-End Fact Checking System

no code implementations NAACL 2019 Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James Glass

We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability, stance detection of documents with respect to given claims, evidence extraction, and linguistic analysis.

Fact Checking Retrieval +1

Context-Aware Systems for Sequential Item Recommendation

no code implementations21 Sep 2018 Moin Nadeem, Dustin Stansbury, Shane Mooney

We achieved an R^2 score of 0. 81 in the content embedding space, and a recall score of 54% on our 100 nearest neighbors.

Recommendation Systems

Identifying Depression on Twitter

no code implementations25 Jul 2016 Moin Nadeem

Social media has recently emerged as a premier method to disseminate information online.

General Classification text-classification +1

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