A Multi-Modal Multilingual Benchmark for Document Image Classification

no code implementations • 25 Oct 2023 • Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas

Document image classification is different from plain-text document classification and consists of classifying a document by understanding the content and structure of documents such as forms, emails, and other such documents.

Classification Document Classification +4

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment

no code implementations • 19 May 2023 • Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan

We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.

Aspect-Based Sentiment Analysis Aspect Extraction +3

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

1 code implementation • 12 Oct 2022 • Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth

Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term, and sentiment polarity.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking

1 code implementation • ACL 2020 • Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, Smaranda Muresan

The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence.

Fact Checking Misinformation +1

Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks

no code implementations • WS 2019 • Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty

Word pairs across argument spans have been shown to be effective for predicting the discourse relation between them.

Binary Classification Classification +3

Detecting Gang-Involved Escalation on Social Media Using Context

1 code implementation • EMNLP 2018 • Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William Frey, Chris Kedzie, Kathleen McKeown

Gang-involved youth in cities such as Chicago have increasingly turned to social media to post about their experiences and intents online.

Multimodal Social Media Analysis for Gang Violence Prevention

no code implementations • 23 Jul 2018 • Philipp Blandfort, Desmond Patton, William R. Frey, Svebor Karaman, Surabhi Bhargava, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Michael B. Gaskell, Rossano Schifanella, Kathleen McKeown, Shih-Fu Chang

In this paper we partnered computer scientists with social work researchers, who have domain expertise in gang violence, to analyze how public tweets with images posted by youth who mention gang associations on Twitter can be leveraged to automatically detect psychosocial factors and conditions that could potentially assist social workers and violence outreach workers in prevention and early intervention programs.

General Classification