no code implementations • ACL (InterNLP) 2021 • Nikhil Mehta, Dan Goldwasser
Easy access, variety of content, and fast widespread interactions are some of the reasons that have made social media increasingly popular in today’s society.
no code implementations • ACL 2022 • Maryam Davoodi, Eric Waltenburg, Dan Goldwasser
Decisions on state-level policies have a deep effect on many aspects of our everyday life, such as health-care and education access.
1 code implementation • ACL 2022 • Nikhil Mehta, Maria Pacheco, Dan Goldwasser
We view fake news detection as reasoning over the relations between sources, articles they publish, and engaging users on social media in a graph framework.
no code implementations • NAACL (SocialNLP) 2021 • Shamik Roy, Dan Goldwasser
Then, qualitative and quantitative evaluations using the corpus show that there is a strong correlation between the moral foundation usage and the politicians’ nuanced stance on a particular topic.
no code implementations • SIGDIAL (ACL) 2020 • Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser
In this work, we study collaborative online conversations.
no code implementations • NAACL (NLP4IF) 2021 • Chang Li, Dan Goldwasser
The way information is generated and disseminated has changed dramatically over the last decade.
no code implementations • 16 Apr 2024 • Tunazzina Islam, Dan Goldwasser
The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion.
no code implementations • 15 Mar 2024 • Tunazzina Islam, Dan Goldwasser
Furthermore, this method efficiently maps the text and the newly discovered themes, enhancing our understanding of the thematic nuances in social media messaging.
no code implementations • 22 Feb 2024 • Younghun Lee, Dan Goldwasser, Laura Schwab Reese
Understanding the dynamics of counseling conversations is an important task, yet it is a challenging NLP problem regardless of the recent advance of Transformer-based pre-trained language models.
no code implementations • 15 Nov 2023 • Rajkumar Pujari, Chengfei Wu, Dan Goldwasser
Social media discourse frequently consists of 'seemingly similar language used by opposing sides of the political spectrum', often translating to starkly contrasting perspectives.
no code implementations • 11 Oct 2023 • Shamik Roy, Dan Goldwasser
We convert the text to a graph by breaking it into structured elements and connect it with the social network of authors, then structured prediction is done over the elements for identifying perspectives.
1 code implementation • 26 Sep 2023 • Nikhil Mehta, Dan Goldwasser
The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs.
no code implementations • 14 Sep 2023 • Nikhil Mehta, Dan Goldwasser
The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs.
no code implementations • 8 May 2023 • Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser
Experts across diverse disciplines are often interested in making sense of large text collections.
1 code implementation • 6 May 2023 • Tunazzina Islam, Ruqi Zhang, Dan Goldwasser
Climate change is the defining issue of our time, and we are at a defining moment.
1 code implementation • 3 Feb 2023 • Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
KNOD has two major novelties, including (1) a novel three-stage tree decoder, which directly generates Abstract Syntax Trees of patched code according to the inherent tree structure, and (2) a novel domain-rule distillation, which leverages syntactic and semantic rules and teacher-student distributions to explicitly inject the domain knowledge into the decoding procedure during both the training and inference phases.
no code implementations • 3 Feb 2023 • Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser
Data scarcity is a common problem in NLP, especially when the annotation pertains to nuanced socio-linguistic concepts that require specialized knowledge.
1 code implementation • 18 Nov 2022 • Younghun Lee, Dan Goldwasser
Large-scale language models have been reducing the gap between machines and humans in understanding the real world, yet understanding an individual's theory of mind and behavior from text is far from being resolved.
1 code implementation • 19 Oct 2022 • Tunazzina Islam, Shamik Roy, Dan Goldwasser
Social media platforms are currently the main channel for political messaging, allowing politicians to target specific demographics and adapt based on their reactions.
1 code implementation • 18 Oct 2022 • Tunazzina Islam, Dan Goldwasser
In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world.
1 code implementation • NAACL 2022 • Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser
The Covid-19 pandemic has led to infodemic of low quality information leading to poor health decisions.
3 code implementations • IEEE Security and Privacy 2022 • Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru
We show the generalizability of our FSM extraction by using the RFCs for six different protocols: BGPv4, DCCP, LTP, PPTP, SCTP and TCP.
1 code implementation • EMNLP 2021 • 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.
1 code implementation • 20 Aug 2021 • 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.
1 code implementation • NAACL 2021 • I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
Understanding narrative text requires capturing characters' motivations, goals, and mental states.
1 code implementation • 7 Apr 2021 • Tunazzina Islam, Dan Goldwasser
Multiview representation learning of data can help construct coherent and contextualized users' representations on social media.
no code implementations • EACL 2021 • Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
In this paper, we explore the use of randomized inference to alleviate this concern and show that we can efficiently leverage deep structured prediction and expressive neural encoders for a set of tasks involving complicated argumentative structures.
1 code implementation • EMNLP 2021 • Rajkumar Pujari, Dan Goldwasser
In this paper, we propose a Compositional Reader model consisting of encoder and composer modules, that attempts to capture and leverage such information to generate more effective representations for entities, issues, and events.
1 code implementation • NAACL 2019 • Rajkumar Pujari, Dan Goldwasser
We use a stand-alone question answering (QA) system to perform QA task and a Natural Language Inference (NLI) system to identify the relations between the choice pairs.
no code implementations • 17 Dec 2020 • 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.
no code implementations • 5 Dec 2020 • Tunazzina Islam, Dan Goldwasser
Although yoga is a multi-component practice to hone the body and mind and be known to reduce anxiety and depression, there is still a gap in understanding people's emotional state related to yoga in social media.
no code implementations • Joint Conference on Lexical and Computational Semantics 2020 • Keen You, Dan Goldwasser
We examine a new commonsense reasoning task: given a narrative describing a social interaction that centers on two protagonists, systems make inferences about the underlying relationship trajectory.
no code implementations • COLING 2020 • Aldo Porco, Dan Goldwasser
The ability to change a person{'}s mind on a given issue depends both on the arguments they are presented with and on their underlying perspectives and biases on that issue.
1 code implementation • COLING 2020 • Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang
Cross-lingual document search is an information retrieval task in which the queries' language differs from the documents' language.
no code implementations • COLING 2020 • Xiao Zhang, Dan Goldwasser
We describe two end-to-end autoencoding models for semi-supervised graph-based projective dependency parsing.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
Representing, and reasoning over, long narratives requires models that can deal with complex event structures connected through multiple relationship types.
1 code implementation • 29 Oct 2020 • Keen You, Dan Goldwasser
We examine a new commonsense reasoning task: given a narrative describing a social interaction that centers on two protagonists, systems make inferences about the underlying relationship trajectory.
1 code implementation • 20 Oct 2020 • Maria Leonor Pacheco, Dan Goldwasser
Building models for realistic natural language tasks requires dealing with long texts and accounting for complicated structural dependencies.
1 code implementation • EMNLP 2020 • Shamik Roy, Dan Goldwasser
In this paper we suggest a minimally-supervised approach for identifying nuanced frames in news article coverage of politically divisive topics.
no code implementations • WS 2020 • Xiao Zhang, Dan Goldwasser
We propose an end-to-end variational autoencoding parsing (VAP) model for semi-supervised graph-based projective dependency parsing.
no code implementations • ACL 2020 • Maryam Davoodi, Eric Waltenburg, Dan Goldwasser
While national politics often receive the spotlight, the overwhelming majority of legislation proposed, discussed, and enacted is done at the state level.
no code implementations • 1 Dec 2019 • Xiao Zhang, Manish Marwah, I-Ta Lee, Martin Arlitt, Dan Goldwasser
In this paper, we introduce Anomaly Contribution Explainer or ACE, a tool to explain security anomaly detection models in terms of the model features through a regression framework, and its variant, ACE-KL, which highlights the important anomaly contributors.
no code implementations • 1 Aug 2019 • Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert
We present a novel interactive learning framework to improve the classification process in which the user iteratively corrects the relevancy of tweets in real-time to train the classification model on-the-fly for immediate predictive improvements.
1 code implementation • ACL 2019 • I-Ta Lee, Dan Goldwasser
Modeling script knowledge can be useful for a wide range of NLP tasks.
no code implementations • ACL 2019 • Chang Li, Dan Goldwasser
Identifying the political perspective shaping the way news events are discussed in the media is an important and challenging task.
1 code implementation • ACL 2019 • Xiao Zhang, Dan Goldwasser
Many NLP learning tasks can be decomposed into several distinct sub-tasks, each associated with a partial label.
no code implementations • WS 2019 • Kristen Johnson, Dan Goldwasser
Political discourse on social media microblogs, specifically Twitter, has become an undeniable part of mainstream U. S. politics.
1 code implementation • NAACL 2019 • Nikhil Mehta, Dan Goldwasser
Over the last few years, there has been growing interest in learning models for physically grounded language understanding tasks, such as the popular blocks world domain.
no code implementations • 10 Oct 2018 • Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
Grammar-based fuzzing is a technique used to find software vulnerabilities by injecting well-formed inputs generated following rules that encode application semantics.
1 code implementation • COLING 2018 • Chang Li, Aldo Porco, Dan Goldwasser
Online debates can help provide valuable information about various perspectives on a wide range of issues.
no code implementations • ACL 2018 • Kristen Johnson, Dan Goldwasser
Previous works in computer science, as well as political and social science, have shown correlation in text between political ideologies and the moral foundations expressed within that text.
1 code implementation • EMNLP 2017 • Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser
In this paper we propose an end-to-end neural CRF autoencoder (NCRF-AE) model for semi-supervised learning of sequential structured prediction problems.
no code implementations • SEMEVAL 2017 • I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Marie Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser
Our proposed system consists of two subsystems and one regression model for predicting STS scores.
no code implementations • WS 2017 • Kristen Johnson, I-Ta Lee, Dan Goldwasser
Politicians carefully word their statements in order to influence how others view an issue, a political strategy called framing.
no code implementations • ACL 2017 • Kristen Johnson, Di Jin, Dan Goldwasser
Framing is a political strategy in which politicians carefully word their statements in order to control public perception of issues.
no code implementations • COLING 2016 • Kristen Johnson, Dan Goldwasser
During the 2016 United States presidential election, politicians have increasingly used Twitter to express their beliefs, stances on current political issues, and reactions concerning national and international events.
no code implementations • TACL 2016 • Dan Goldwasser, Xiao Zhang
Automatic satire detection is a subtle text classification task, for machines and at times, even for humans.
no code implementations • 30 Nov 2015 • Snigdha Chaturvedi, Dan Goldwasser, Hal Daume III
The ability to comprehend wishes or desires and their fulfillment is important to Natural Language Understanding.