activity
20182026
most citedInteractive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

59 citations · 169 across the 28 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CL2021

Identifying Morality Frames in Political Tweets using Relational Learning

Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Extracting moral sentiment from text is a vital component in understanding public opinion, social movements, and policy decisions. The Moral Foundation Theory identifies five moral…

cs.CL2021★ 5 cited

Twitter User Representation Using Weakly Supervised Graph Embedding

Tunazzina Islam, Dan Goldwasser

Social media platforms provide convenient means for users to participate in multiple online activities on various contents and create fast widespread interactions. However, this ra…

cs.CL2021★ 7 cited

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model

Tunazzina Islam, Dan Goldwasser

Multiview representation learning of data can help construct coherent and contextualized users' representations on social media. This paper suggests a joint embedding model, incorp…

cs.CL2021★ 3 cited

Modeling Human Mental States with an Entity-based Narrative Graph

I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser

Understanding narrative text requires capturing characters' motivations, goals, and mental states. This paper proposes an Entity-based Narrative Graph (ENG) to model the internal-s…

cs.CL2021

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information

Tunazzina Islam, Dan Goldwasser

Leveraging social media data to understand people's lifestyle choices is an exciting domain to explore but requires a multiview formulation of the data. In this paper, we propose a…

cs.CL2021★ 1 cited

Randomized Deep Structured Prediction for Discourse-Level Processing

Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio +1

Expressive text encoders such as RNNs and Transformer Networks have been at the center of NLP models in recent work. Most of the effort has focused on sentence-level tasks, capturi…