Byron C. Wallace

Publications
Influence

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Ye Zhang, Byron C. Wallace
Computer Science
IJCNLP
13 October 2015

Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification. Expand

Closing the Gap between Methodologists and End-Users: R as a Computational Back-End

Byron C. Wallace, I. Dahabreh, T. Trikalinos, J. Lau, Paul Trow, C. Schmid
Computer Science
30 June 2012

We present a framework that allows methodologists to implement new methods in R that are then automatically integrated into the GUI for use by end-users, so long as the programmer conforms to our interface. Expand

Semi-automated screening of biomedical citations for systematic reviews

Byron C. Wallace, T. Trikalinos, J. Lau, C. Brodley, C. Schmid
Medicine, Computer Science
BMC Bioinformatics
26 January 2010

We present a novel online classification strategy for citation screening to automatically discriminate "relevant" from "irrelevant" citations, without excluding any of the citations eligible for the systematic review. Expand

Attention is not Explanation

Sarthak Jain, Byron C. Wallace
Computer Science
NAACL-HLT
26 February 2019

We empirically investigate the relationship between attention weights, inputs, and outputs in neural NLP models. Expand

Modelling Context with User Embeddings for Sarcasm Detection in Social Media

Silvio Amir, Byron C. Wallace, Hao Lyu, Paula Carvalho, M. Silva
Computer Science
CoNLL
4 July 2016

We introduce a deep neural network for automated sarcasm detection on social media that does not require extensive feature engineering. Expand

Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data

Byron C. Wallace, C. Schmid, J. Lau, T. Trikalinos
Computer Science, Medicine
BMC medical research methodology
4 December 2009

We have developed and validated a new program for conducting meta-analyses that combines the advantages of existing software for this task. Meta-Analyst is implemented in C# atop of the Microsoft .NET framework. Expand

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr

Byron C. Wallace, Kevin Small, C. Brodley, J. Lau, T. Trikalinos
Computer Science
IHI '12
28 January 2012

We develop abstrackr, an online tool for the task of citation screening for systematic reviews. Expand

ERASER: A Benchmark to Evaluate Rationalized NLP Models

Jay DeYoung, Sarthak Jain, +4 authors Byron C. Wallace
Computer Science
ACL
8 November 2019

We propose the Evaluating Rationales And Simple English Reasoning (ERASER) benchmark to advance research on interpretable models in NLP that reveal the `reasoning' behind model outputs. Expand

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature

Benjamin E. Nye, Junyi Jessy Li, +4 authors Byron C. Wallace
Computer Science, Medicine
ACL
11 June 2018

We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials. Expand

Aggregating and Predicting Sequence Labels from Crowd Annotations

A. T. Nguyen, Byron C. Wallace, Junyi Jessy Li, A. Nenkova, Matthew Lease
Computer Science, Medicine
ACL
2017

We propose a novel Hidden Markov Model variant of Long Short Term Memory that can predict sequences in unannotated text. Expand

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