Jake Ryland Williams

According to our database1, Jake Ryland Williams authored at least 31 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Bit Cipher - A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models.
CoRR, 2023

Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units.
CoRR, 2023

Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks.
CoRR, 2023

Which Tweets 'Deserve' to be Included in News Stories? Chronemics of Tweet Embedding.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022
EigenNoise: A Contrastive Prior to Warm-Start Representations.
CoRR, 2022

To Know by the Company Words Keep and What Else Lies in the Vicinity.
CoRR, 2022

2021
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers.
CoRR, 2021

The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
A general solution to the preferential selection model.
CoRR, 2020

Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts.
CoRR, 2020

NewsTweet: A Dataset of Social Media Embedding in Online Journalism.
CoRR, 2020

TAMICA: Tailorable Autonomous Motivational Interviewing Conversational Agent.
Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020

2019
Detecting Social Bots on Facebook in an Information Veracity Context.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

2018
BuzzFace: A News Veracity Dataset with Facebook User Commentary and Egos.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs.
EPJ Data Sci., 2017

Is space a word, too?
CoRR, 2017

A Computational Framework for Multi-Modal Social Action Identification.
CoRR, 2017

Context-Sensitive Recognition for Emerging and Rare Entities.
Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

Boundary-based MWE segmentation with text partitioning.
Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016
Sifting robotic from organic text: A natural language approach for detecting automation on Twitter.
J. Comput. Sci., 2016

Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis.
CoRR, 2016

2015
Identifying missing dictionary entries with frequency-conserving context models.
CoRR, 2015

Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs.
CoRR, 2015

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics.
CoRR, 2015

Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
CoRR, 2015

The Lexicocalorimeter: Gauging public health through caloric input and output on social media.
CoRR, 2015

2014
Zipf's law holds for phrases, not words.
CoRR, 2014

Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language.
CoRR, 2014

Constructing a taxonomy of fine-grained human movement and activity motifs through social media.
CoRR, 2014

Human language reveals a universal positivity bias.
CoRR, 2014


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