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Posts

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Individual sensitivity to spectral and temporal cues in listeners with hearing impairment

Published in Journal of Speech, Language, and Hearing Research, 2015

Download paper here

Recommended citation: Souza, P., Wright R., Blackburn M., Tatman R.., & Gallun F.. (2015). Individual sensitivity to spectral and temporal cues in listeners with hearing impairment. Journal of Speech, Language, and Hearing Research. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2015_IndividualSensitivity.pdf

Listening with American Ears: Using Social Information in Perceptual Learning

Published in 3rd Conference on Experimental Approaches to Perception and Production of Language Variation, 2016

Download paper here

Recommended citation: Tatman, R. (2016). Listening with American Ears: Using Social Information in Perceptual Learning. 3rd Conference on Experimental Approaches to Perception and Production of Language Variation. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2016_ListeningWithAmericanEars.pdf

Oh, I’ve Heard That Before: Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data

Published in Workshop on Cognitive Modeling and Computational Linguistics, 2017

Download paper here

Recommended citation: Tatman, R.. (2017). "Oh, I've Heard That Before": Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data. Workshop on Cognitive Modeling and Computational Linguistics. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_HeardThatBefore.pdf

‘He maybe did’ or ‘He may be dead’? The use of acoustic and social cues in applying perceptual learning of a new dialect

Published in 173rd Meeting of the Acoustical Society of America, 2017

Download paper here

Recommended citation: Tatman, R. (2017). "He maybe did" or "He may be dead": The use of acoustic and social cues in applying perceptual learning of a new dialect. 173rd Meeting of the Acoustical Society of America. https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_HeMaybeDid.pdf

#MAGA or #TheResistance: Classifying Twitter users’ political affiliation without looking at their words or friends

Published in Women and Underrepresented Minorities in Natural Language Processing, 2017

Download paper here

Recommended citation: Tatman, R. (2017). #MAGA or #TheResistance: Classifying Twitter users' political affiliation without looking at their words or friends. Women and Underrepresented Minorities in Natural Language Processing . https://github.com/rctatman/personal-website/blob/master/files/Tatman_2017_MAGAorTheResistance.pdf

A Practical Taxonomy of Reproducibility for Machine Learning Research

Published in Reproducibility in Machine Learning Workshop at ICML 2018, 2018

Recommended citation: Tatman, R., VanderPhttp://www.rctatman.com/files/2018-7-14-MLReproducability.pdflas, J., & Dane, S. (2018). A Practical Taxonomy of Reproducibility for Machine Learning Research. Reproducibility in Machine Learning Workshop at ICML 2018. http://www.rctatman.com/files/2018-7-14-MLReproducability.pdf

talks

Why does NLP need sociolinguistics?

Published:

This talks covers the basics of sociolinguisitics and discusses why it’s important to considering linguistic variation when designing NLP applications.

Intro to Kaggle: XGBoost!

Published:

This workshop was both an introduction to Kaggle and a beginner-friendly workshop on XGBoost algorithm. You’ll need to provide some info to watch the video, but the same content is covered in the code.

Character Encoding and You�

Published:

Why does your text output have all those black boxes in it? Why can’t it handle Portuguese? The answer is most likely “character encoding”. This talk will cover some of the common character encoding gotchas and cover some defensive programming practices to help your code handle multiple encodings.

Socially-Stratified Validation for ML Fairness

Published:

In this talk, I cover some of the frameworks used to think about fairness in machine learning. Then I turn to more practical matters of determining which social factors are important in machine leaning, how to find appropriate validation data, and considerations when selecting metrics. Finally, I walk through a sample socially-stratified validation pipeline.

How to find stories in data through visualization

Published:

Working with data is a kind of interview - it is a complex back-and-forth, drawing out the expressiveness of data. The process is often visual, depending heavily on a sequence of graphical displays, “visualizations.” This three-hour workshop will focus on the concepts and skills you need to use data visualization effectively as part of your reporting practice - to conduct a data interview. You will learn how to spot trends, highlight changes over time, identify outliers, make meaningful comparisons, and describe important patterns in your data - all through the effective use of visualization strategies. This class will be based in the R language and distributed through Jupyter notebooks. These pre-built examples can later be customized to suit your own projects when you return to your newsroom.

How to Give a Lightning Talk

Published:

Lightening talks are quick talks, usually under 5 minutes. The short format makes the great for first time speakers! This is a very meta lightening talk on how to give a lightening talk, and covers how to develop your talk, practice it and some of my best public-speaking tips.

Evaluating and Improving Reproducibility in Machine Learning

Published:

Reproducibility in machine learning means you can run the same code on the same data and get the same results. While this may seem relatively straightforward, there are plenty of potential pitfalls. In this talk, we’ll discuss a scale for evaluating the reproduciblity of a machine learning project and how to make sure that your own work is easy to reproduce. While this talk is focused on researchers (it’s based on a paper I presented at an ICML workshop), the tips and tricks should apply to anyone who does exploratory data analysis or machine learning generally.

Reproducible Research Best Practices (highlighting Kaggle Kernels)

Published:

In this workshop, we’ll take an existing research project and make it fully reproducible using Kaggle Kernels. This workshop will include hands-on instruction and best practices for each of the three components necessary for completely reproducible research.

I do, We do, You Do: Supporting active learning with notebooks

Published:

The gradual release of responsibility instructional model (also known as the I do, We do, You do model) is a pedagogical technique developed by Pearson & Gallagher where students engage with material more independently over time. In this workshop, participants will learn how to apply the I do, We do, You do framework to teaching with Jupyter notebooks. Over the course of the workshop, participants will complete a series of exercises designed to help them use Jupyter notebooks more effectively support active learning in the classroom.

Data Science Portfolios

Published:

This talk describes how to put together a data science portfolio that will help you stand out, different kinds of data science jobs and how to tailor your application to shine as a candidate.

Mixed Effects Regression

Published:

The combination of power, flexibility and clearly interpretable models make it a very powerful technique. I’ll introduce you to the method (no stats background required!), show you how to apply it to your own datasets and walk you through some tricks for clearly visualizing the output.

Paper Discussion: The Importance of Being Recurrent for Modeling Hierarchical Structure

Published:

You may, in fact, need more than attention. This paper is a comparison of the ability of recurrent and non-recurrent (i.e. transformer) neural network structures, focusing on their ability to model hierarchical relationships in natural language. The authors found that for both subject-object agreement and logical entailment, RNN’s outperformed transformers. While there is limited theoretical support for these findings, the empirical results are compelling.que developed by Pearson & Gallagher where students engage with material more independently over time. In this workshop, participants will learn how to apply the I do, We do, You do framework to teaching with Jupyter notebooks. Over the course of the workshop, participants will complete a series of exercises designed to help them use Jupyter notebooks more effectively support active learning in the classroom.

teaching

Linguistics Outreach

Posters & Activicties, Pacific Science Center, 2014

These materials were developed for Paws on Science; an annual event put on by the Pacific Science Center to help UW scientists connect with the public. They were designed with an elementary-school audience in mind.

An Introduction to Relational Databases

Slides, Sociolinguistics Lab, 2016

Slides from a talk given at a sociolinguistics lab meeting on relational databases. Includes information on software for making relational databases and ideas for distributing them.

A Guide to Livetweeting Conferences

Website, https://rctatman.github.io/Livetweeting-Guide/, 2018

I’ve written a fairly in-depth guide to livetweeting that you can find here. It’s intentionally minimal so that it can easily loaded on phones with limited data.