Search Results for author: Mona Jalal

Found 9 papers, 4 papers with code

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

no code implementations Findings (EMNLP) 2021 Isidora Tourni, Lei Guo, Taufiq Husada Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Sha Lai, Hengchang Hu, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya

Such perspectives are called “frames” in communication research. We study, for the first time, the value of combining lead images and their contextual information with text to identify the frame of a given news article.

Frame Multimodal Text and Image Classification +2

OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames

2 code implementations16 Aug 2020 Alyssa Smith, David Assefa Tofu, Mona Jalal, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, Derry Wijaya

The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents.

Frame General Classification

Online Graph Completion: Multivariate Signal Recovery in Computer Vision

no code implementations CVPR 2017 Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh

The adoption of "human-in-the-loop" paradigms in computer vision and machine learning is leading to various applications where the actual data acquisition (e. g., human supervision) and the underlying inference algorithms are closely interwined.

Active Learning Collaborative Filtering +1

SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors

no code implementations12 Aug 2020 Mona Jalal, Josef Spjut, Ben Boudaoud, Margrit Betke

We present a new, publicly-available image dataset generated by the NVIDIA Deep Learning Data Synthesizer intended for use in object detection, pose estimation, and tracking applications.

Object Detection Pose Estimation

Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets

no code implementations11 Feb 2020 Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke

We report results of a comparison of the accuracy of crowdworkers and seven Natural Language Processing (NLP) toolkits in solving two important NLP tasks, named-entity recognition (NER) and entity-level sentiment (ELS) analysis.

Named Entity Recognition NER +1

Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types

1 code implementation31 Aug 2019 Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke

We also propose a scrape-by-keywords methodology and used it to scrape ~30, 000 images and their captions of 38 Kenyan food types.

SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset

1 code implementation3 Oct 2018 Elham Saraee, Mona Jalal, Margrit Betke

In this work, we introduce Savoias, a visual complexity dataset that compromises of more than 1, 400 images from seven image categories relevant to the above research areas, namely Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism.

Matrix Completion

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