134 citations · 706 across the 103 of their papers we have counts for
15 papers · 1 filter
Social media data reveals signal for public consumer perceptions
Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino +1
Researchers have used social media data to estimate various macroeconomic indicators about public behaviors, mostly as a way to reduce surveying costs. One of the most widely cited…
Multi-modal Identification of State-Sponsored Propaganda on Social Media
Xiaobo Guo, Soroush Vosoughi
The prevalence of state-sponsored propaganda on the Internet has become a cause for concern in the recent years. While much effort has been made to identify state-sponsored Interne…
Improvements and Extensions on Metaphor Detection
Weicheng Ma, Ruibo Liu, Lili Wang +1
Metaphors are ubiquitous in human language. The metaphor detection task (MD) aims at detecting and interpreting metaphors from written language, which is crucial in natural languag…
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
Dylan Whang, Soroush Vosoughi
We describe the systems developed for the WNUT-2020 shared task 2, identification of informative COVID-19 English Tweets. BERT is a highly performant model for Natural Language Pro…
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
Chris Miller, Soroush Vosoughi
Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations…
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
Lili Wang, Chongyang Gao, Jason Wei +3
The field of NLP has seen unprecedented achievements in recent years. Most notably, with the advent of large-scale pre-trained Transformer-based language models, such as BERT, ther…
Enhanced Offensive Language Detection Through Data Augmentation
Ruibo Liu, Guangxuan Xu, Soroush Vosoughi
Detecting offensive language on social media is an important task. The ICWSM-2020 Data Challenge Task 2 is aimed at identifying offensive content using a crowd-sourced dataset cont…
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Ruibo Liu, Guangxuan Xu, Chenyan Jia +3
Data augmentation is proven to be effective in many NLU tasks, especially for those suffering from data scarcity. In this paper, we present a powerful and easy to deploy text augme…
Embedding Node Structural Role Identity into Hyperbolic Space
Lili Wang, Ying Lu, Chenghan Huang +1
Recently, there has been an interest in embedding networks in hyperbolic space, since hyperbolic space has been shown to work well in capturing graph/network structure as it can na…
Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research
Jiachen Jiang, Soroush Vosoughi
Social media has shaken the foundations of our society, unlikely as it may seem. Many of the popular tools used to moderate harmful digital content, however, have received widespre…
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Weicheng Ma, Ruibo Liu, Lili Wang +1
Authorship identification tasks, which rely heavily on linguistic styles, have always been an important part of Natural Language Understanding (NLU) research. While other tasks bas…
Emoji Prediction: Extensions and Benchmarking
Weicheng Ma, Ruibo Liu, Lili Wang +1
Emojis are a succinct form of language which can express concrete meanings, emotions, and intentions. Emojis also carry signals that can be used to better understand communicative…
Query-Free Adversarial Transfer via Undertrained Surrogates
Chris Miller, Soroush Vosoughi
Deep neural networks are vulnerable to adversarial examples -- minor perturbations added to a model's input which cause the model to output an incorrect prediction. We introduce a…
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks
Lili Wang, Ruibo Liu, Soroush Vosoughi
Instagram has become a great venue for amateur and professional photographers alike to showcase their work. It has, in other words, democratized photography. Generally, photographe…
What Are People Asking About COVID-19? A Question Classification Dataset
Jerry Wei, Chengyu Huang, Soroush Vosoughi +1
We present COVID-Q, a set of 1,690 questions about COVID-19 from 13 sources, which we annotate into 15 question categories and 207 question clusters. The most common questions in o…