Publications

Peer-Reviewed Articles

Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter.
K. Johnson, D. Jin, and D. Goldwasser.
In Proc. 55th Annual Meeting of the Association for Computational Linguistics (ACL'17), Vancouver, Canada, 2017.

[PDF]
Accepted for Oral Presentation.

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter.
K. Johnson, I. Lee, and D. Goldwasser.
In Proc. Second Workshop on NLP and Computational Social Science (NLP+CSS, in conjunction with ACL'17), Vancouver, Canada, 2017.

[PDF]

Modeling of Political Discourse on Twitter.
K. Johnson.
In Proc. First Workshop on Women and Underrepresented Minorities in NLP (WiNLP, in conjunction with ACL'17), Vancouver, Canada, 2017.

[PDF]

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings..
I. Lee, M. Goindani, C. Li, D. Jin, K. Johnson, X. Zhang, M. Pacheco, and D. Goldwasser.
In Proc. 11th International Workshop on Semantic Evaluation (SemEval-2017, in conjunction with ACL'17), Vancouver, Canada, 2017.

[PDF]

Modeling of Political Discourse Framing on Twitter.
K. Johnson, D. Jin, and D. Goldwasser.
In Proc. 11th International AAAI Conference on Web and Social Media (ICWSM-17), Montreal, Canada, 2017.

[PDF]
Accepted for Poster Presentation.

"All I know about politics is what I read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances from Twitter.
K. Johnson and D. Goldwasser.
In Proc. COLING 2016, 26th International Conference on Computational Linguistics, Osaka, Japan, 2016.

[PDF]
Accepted for Oral Presentation.

Identifying Stance by Analyzing Political Discourse on Twitter.
K. Johnson and D. Goldwasser.
In Proc. First Workshop on NLP and Computational Social Science (NLP+CSS, in conjunction with EMNLP'16), Austin, TX, 2016.

[PDF]

Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic.
B. Saltaformaggio, H. Choi, K. Johnson, Y. Kwon, Q. Zhang, D. Xu, and J. Qian.
In Proc. 10th USENIX Workshop on Offensive Technologies (WOOT'16, in conjunction with Security'16), Austin, TX, 2016.

[PDF]

SPATA: A Seeding and Patching Algorithm for De Novo Transcriptome Assembly.
Z. Zhao, T. Nguyen, N. Deng, K. Johnson, and D. Zhu.
In Proc. IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBM), Atlanta, GA, 2011.

[PDF]

Isoform-Level microRNA-155 Target Prediction Using RNA-Seq.
N. Deng, A. Puetter, K. Zhang, K. Johnson, Z. Zhao, C. Taylor, E. K. Flemington, and D. Zhu.
Nucleic Acids Research, 39(9), 2011.

[PDF]

Theses

Software for Estimation of Human Transcriptome Isoform Expression Using RNA-Seq Data.
K. Johnson.
University of New Orleans Theses and Dissertations, ScholarWorks@UNO, Paper 1448, <http://scholarworks.uno.edu/td/1448/>, 2012.

[PDF]