Showing posts from July, 2019

2019-03-27: Install ParsCit on Ubuntu

ParsCit is a citation parser developed by a joint effort of Pennsylvania State University and National University of Singapore. Over the past ten years, it is been compared with many other citation parsing tools and is still widely used. Although Neural ParsCit has been developed, the implementation is still not as easy to use as ParsCit. In particular, PDFMEF encapsules ParsCit as the default citation parser.

However, many people found that installing ParsCit is not very straightforward. This is partially because it is written in perl and the instructions on the ParsCit website are not 100% accurate. In this blog post, I describe the installation procedures of ParsCit on a Ubuntu 16.04.6 LTS desktop. Installation on CentOS should be similar. The instructions do not cover Windows.

The following steps assume we install ParsCit under /home/username/github.
Download the source code from and unzip it.
$ unzip Install c++ compiler
$  sudo a…

2019-07-30: SIGIR 2019 in Paris Trip Report

ACM SIGIR 2019 was held in Paris, France July 21-25, 2019 in the conference center of the Cite des sciences et de l'industrie. Attendees were treated to great talks, delicious food, sunny skies, and warm weather. The final day of the conference was historic - Paris' hottest day on record (42.6 C, 108.7 F).

There were over 1000 attendees, including 623 for tutorials, 704 for workshops, and 918 for the main conference. The acceptance rate for full papers was a low 19.7%, with 84/426 submissions accepted. Short papers were presented as posters, set up during the coffee breaks, which allowed for nice interactions among participants and authors. (Conference schedule - contains links to videos of many of the talks)

Several previously-published ACM TOIS journal papers were invited for presentation as posters or oral presentations. We were honored to be invited to present our 2017 ACM TOIS paper, "Comparing the Archival Rate of Arabic, English, Danish, and Korean Language Web Pa…

2019-07-17: Bathsheba Farrow (Computer Science PhD Student)

My name is Bathsheba Farrow.  I joined Old Dominion University as a PhD student in the fall of 2016.  My PhD advisor is Dr. Sampath Jayaratha. I am currently researching various technologies for reliable data collection in individuals suffering from Post-Traumatic Stress Disorder (PTSD).  I intend to use machine learning algorithms to identify patterns their physiological data to support rapid, reliable PTSD diagnosis.  However, diagnosis is only one side of the equation.  I also plan to investigate eye movement desensitization and reprocessing, brainwave technology, and other methods that may actually alleviate or eliminate PTSD symptoms.  I am working with partners at Eastern Virginia Medical School (EVMS) to discover more ways technology can be used to diagnosis and treat PTSD patients.

In May 2019, I wrote and submitted my first paper related to my PTSD research to the IEEE 20th International Conference on Information Reuse and Integration (IRI) for Data Science: Technological Adv…

2019-07-15: Lab Streaming Layer (LSL) Tutorial for Windows

First of all, I would like to give credit to Matt Gray for going through the major hassle in figuring out the prerequisites and for the awesome documentation provided on how to Install and Use Lab Streaming Layer on Windows.
In this blog, I will guide you how to install open source Lab Stream Layer (LSL) and stream data (eye tracking example using PupilLabs eye tracker) to NeuroPype Academic edition. Though a basic version of LSL is available along withNeuroPype, you will still need to complete following prerequisites before installing LSL. You can find installation instructions for LSL at The intention of this blog is to provide an easier and more streamlined step-by-step guide for installing LSL and NeuroPype. LSL is low-level technology for exchange of time series between programs and computers.

Christian A. Kothe, one of the developers of LSL, has a YouTube video in which he explains the structure and function of L…