Kristen Johnson

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Weakly Supervised

User Activities

Textual Entailment

Top Venues

Publications

Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. CoRR (2024)
Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. ACL (Findings) (2024)
Javier I. Campos, Kristen Johnson, Jonathan Neeley, Staci Roesch, Farha Jahan, Quamar Niyaz, Khair Al Shamaileh
A Machine Learning Based Smartphone App for GPS Spoofing Detection. SecureComm (2) (2020)
Kristen Johnson, Dan Goldwasser
Classification of Moral Foundations in Microblog Political Discourse. ACL (1) (2018)
Kristen Johnson, I-Ta Lee, Dan Goldwasser
Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter. NLP+CSS@ACL (2017)
I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. SemEval@ACL (2017)
Kristen Johnson, Di Jin, Dan Goldwasser
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. ACL (1) (2017)
Kristen Johnson, Di Jin, Dan Goldwasser
Modeling of Political Discourse Framing on Twitter. ICWSM (2017)
Brendan Saltaformaggio, Hongjun Choi, Kristen Johnson, Yonghwi Kwon, Qi Zhang, Xiangyu Zhang, Dongyan Xu, John Qian
Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic. WOOT (2016)
Kristen Johnson, Dan Goldwasser
Identifying Stance by Analyzing Political Discourse on Twitter. NLP+CSS@EMNLP (2016)
Kristen Johnson, Dan Goldwasser
"All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter. COLING (2016)