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Jake Ryland Williams
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Journal Articles
- 2017
- [j2]Andrew J. Reagan, Christopher M. Danforth, Brian F. Tivnan, Jake Ryland Williams, Peter Sheridan Dodds:
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs. EPJ Data Sci. 6(1): 28 (2017) - 2016
- [j1]Eric M. Clark, Jake Ryland Williams, Chris A. Jones, Richard A. Galbraith, Christopher M. Danforth, Peter Sheridan Dodds:
Sifting robotic from organic text: A natural language approach for detecting automation on Twitter. J. Comput. Sci. 16: 1-7 (2016)
Conference and Workshop Papers
- 2023
- [c8]Munif Ishad Mujib, Asta Zelenkauskaite, Jake Ryland Williams:
Which Tweets 'Deserve' to be Included in News Stories? Chronemics of Tweet Embedding. HICSS 2023: 5983-5993 - 2021
- [c7]Hunter Scott Heidenreich, Jake Ryland Williams:
The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. AIES 2021: 566-573 - 2020
- [c6]Diva Smriti, Ji Youn Shin, Munif Ishad Mujib, Meghan Colosimo, Tsui-Sui Kao, Jake Ryland Williams, Jina Huh-Yoo
:
TAMICA: Tailorable Autonomous Motivational Interviewing Conversational Agent. PervasiveHealth 2020: 411-414 - 2019
- [c5]Giovanni C. Santia, Munif Ishad Mujib, Jake Ryland Williams:
Detecting Social Bots on Facebook in an Information Veracity Context. ICWSM 2019: 463-472 - 2018
- [c4]Munif Ishad Mujib, Christopher C. Yang, Mengnan Zhao, Jake Ryland Williams:
Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models. ICHI 2018: 241-246 - [c3]Giovanni C. Santia, Jake Ryland Williams:
BuzzFace: A News Veracity Dataset with Facebook User Commentary and Egos. ICWSM 2018: 531-540 - 2017
- [c2]Jake Ryland Williams:
Boundary-based MWE segmentation with text partitioning. NUT@EMNLP 2017: 1-10 - [c1]Jake Ryland Williams, Giovanni C. Santia:
Context-Sensitive Recognition for Emerging and Rare Entities. NUT@EMNLP 2017: 172-176
Informal and Other Publications
- 2023
- [i24]Jake Ryland Williams, Haoran Zhao:
Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks. CoRR abs/2311.07498 (2023) - [i23]Jake Ryland Williams, Haoran Zhao:
Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units. CoRR abs/2311.07510 (2023) - [i22]Haoran Zhao, Jake Ryland Williams:
Bit Cipher - A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models. CoRR abs/2311.11012 (2023) - 2022
- [i21]Jake Ryland Williams, Hunter Scott Heidenreich:
To Know by the Company Words Keep and What Else Lies in the Vicinity. CoRR abs/2205.00148 (2022) - [i20]Hunter Scott Heidenreich, Jake Ryland Williams:
EigenNoise: A Contrastive Prior to Warm-Start Representations. CoRR abs/2205.04376 (2022) - [i19]Munif Ishad Mujib, Asta Zelenkauskaite
, Jake Ryland Williams:
Which tweets 'deserve' to be included in news stories? Chronemics of tweet embedding. CoRR abs/2211.09185 (2022) - 2021
- [i18]Lu Wang, Munif Ishad Mujib, Jake Ryland Williams, George Demiris, Jina Huh-Yoo:
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. CoRR abs/2107.13115 (2021) - 2020
- [i17]Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy, Giovanni C. Santia, Asta Zelenkauskaite, Jake Ryland Williams:
NewsTweet: A Dataset of Social Media Embedding in Online Journalism. CoRR abs/2008.02870 (2020) - [i16]Hunter Scott Heidenreich, Munif Ishad Mujib, Jake Ryland Williams:
Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts. CoRR abs/2008.02874 (2020) - [i15]Jake Ryland Williams, Diana Solano-Oropeza, Jacob R. Hunsberger:
A general solution to the preferential selection model. CoRR abs/2008.02885 (2020) - 2017
- [i14]Jason Anastasopoulos, Jake Ryland Williams:
A Computational Framework for Multi-Modal Social Action Identification. CoRR abs/1710.07728 (2017) - [i13]Jake Ryland Williams, Giovanni C. Santia:
Is space a word, too? CoRR abs/1710.07729 (2017) - 2016
- [i12]Jake Ryland Williams, James P. Bagrow
, Andrew J. Reagan, Sharon E. Alajajian, Christopher M. Danforth, Peter Sheridan Dodds:
Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis. CoRR abs/1601.07969 (2016) - [i11]Jake Ryland Williams:
Boundary-based MWE segmentation with text partitioning. CoRR abs/1608.02025 (2016) - 2015
- [i10]Jake Ryland Williams, Eric M. Clark, James P. Bagrow
, Christopher M. Danforth, Peter Sheridan Dodds:
Identifying missing dictionary entries with frequency-conserving context models. CoRR abs/1503.02120 (2015) - [i9]Eric M. Clark, Jake Ryland Williams, Richard A. Galbraith, Chris A. Jones, Christopher M. Danforth, Peter Sheridan Dodds:
Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter. CoRR abs/1505.04342 (2015) - [i8]Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow
, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth:
Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. CoRR abs/1505.06750 (2015) - [i7]Sharon E. Alajajian, Jake Ryland Williams, Andrew J. Reagan, Stephen C. Alajajian, Morgan R. Frank, Lewis Mitchell, Jacob Lahne, Christopher M. Danforth, Peter Sheridan Dodds:
The Lexicocalorimeter: Gauging public health through caloric input and output on social media. CoRR abs/1507.05098 (2015) - [i6]Eric M. Clark, Chris A. Jones, Jake Ryland Williams, Allison N. Kurti, Michell Craig Nortotsky, Christopher M. Danforth, Peter Sheridan Dodds:
Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter. CoRR abs/1508.01843 (2015) - [i5]Andrew J. Reagan, Brian F. Tivnan, Jake Ryland Williams, Christopher M. Danforth, Peter Sheridan Dodds:
Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs. CoRR abs/1512.00531 (2015) - 2014
- [i4]Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow
, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth:
Human language reveals a universal positivity bias. CoRR abs/1406.3855 (2014) - [i3]Jake Ryland Williams, Paul R. Lessard, Suma Desu, Eric M. Clark, James P. Bagrow
, Christopher M. Danforth, Peter Sheridan Dodds:
Zipf's law holds for phrases, not words. CoRR abs/1406.5181 (2014) - [i2]Jake Ryland Williams, James P. Bagrow
, Christopher M. Danforth, Peter Sheridan Dodds:
Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language. CoRR abs/1409.3870 (2014) - [i1]Morgan R. Frank, Jake Ryland Williams, Lewis Mitchell
, James P. Bagrow
, Peter Sheridan Dodds, Christopher M. Danforth:
Constructing a taxonomy of fine-grained human movement and activity motifs through social media. CoRR abs/1410.1393 (2014)
Coauthor Index
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