update about and my work pages
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James Ravenscroft 2023-07-30 12:08:26 +01:00
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I'm James, I am a Chief Technology Officer and Software Engineer specialising in Machine Learning and in particular, Natural Language Processing. I am an amateur musician, cook and photographer and I love to read fiction and watch box sets and movies. I live with my wife and cats in the south of England.
- [What I'm up to right now](#what-im-up-to-right-now)
- [What I do for work](#what-i-do-for-work)
- [What I do for fun](#what-i-do-for-fun)
- [About The Site](#about-the-site)
## What I'm up to right now
@ -41,5 +43,6 @@ I'm using some icons from SVGRepo like:
- [the like icon](https://www.svgrepo.com/svg/506227/like)
- [the comment icon](https://www.svgrepo.com/svg/522070/comment-3)
- [the repost icon](https://www.svgrepo.com/svg/469632/retweet)
- [the mastodon icon](https://www.svgrepo.com/svg/362235/mastodon-simple)
in both cases I've made some small changes to the svg metadata - you're free to copy and make similar changes to these according to [the license](https://www.svgrepo.com/page/licensing#CC%20Attribution)
in all cases I've made some small changes to the svg metadata - you're free to copy and make similar changes to these according to [the license](https://www.svgrepo.com/page/licensing#CC%20Attribution)

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On this page you will find summaries of projects that I've worked on including both software and scientific research.
### Contents
## Software
- [Software](#software)
- [General/Open Source](#generalopen-source)
- [TimeTrack](#timetrack)
- [NLP / ML](#nlp--ml)
- [CDCRTool](#cdcrtool)
- [Partridge](#partridge)
- [Sapienta](#sapienta)
- [Academic Publications](#academic-publications)
- [2021](#2021)
- [2019](#2019)
- [2018](#2018)
- [2017](#2017)
- [2016](#2016)
- [2013](#2013)
### Turbopilot
# Software
[<img src="https://img.shields.io/github/stars/ravenscroftj/turbopilot?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/turbopilot)
## General/Open Source
A weekend experiment where I attempted to use [GGML](https://github.com/ggerganov/ggml/) quantized tensors to run a state-of-the-art code completion model on commodity hardware including laptops, desktops, ARM machines like Macbooks and even Raspberry Pis. As the GGML library matures, I'm adding support for things like Nvidia GPU support too.
### TimeTrack
[<img src="https://img.shields.io/github/watchers/ravenscroftj/timetrack?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/timetrack)
A small command-line tool I wrote for monitoring my time spent on projects - it has API integration with the popular SaaS timesheet tool [Harvest](https://www.getharvest.com/)
## NLP / ML
### CDCRTool
[<img src="https://img.shields.io/github/watchers/ravenscroftj/cdcrtool?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/cdcrtool)
A tool for annotating co-references of entities that occur in linked news paper article/scientific paper pairings. Some 'sharp' code but this was my first venture into 'full stack' using ReactJS on the frontend and Flask on the backend. The repository also contains the final corpus which we made available as part of our EACL21 publication.
### Partridge
[Website](https://papro.org.uk/) | [<img src="https://img.shields.io/github/watchers/ravenscroftj/partridge?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/partridge)
[Website](https://papro.org.uk/) | [<img src="https://img.shields.io/github/stars/ravenscroftj/partridge?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/partridge)
A scientific paper indexing system that uses machine learning to enrich papers in order to make them more easy to search and filter. Originally written in Python 2 with xml-rpc worker processes and recently updated to use Python 3 and [dramatiq](https://dramatiq.io/) for concurrency.
### Sapienta
[Website](http://www.sapientaproject.com/) | [Live Instance](https://sapienta.papro.org.uk/) | [<img src="https://img.shields.io/github/watchers/ravenscroftj/sapienta?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/sapienta)
[Website](http://www.sapientaproject.com/) | [Live Instance](https://sapienta.dcs.aber.ac.uk/) | [<img src="https://img.shields.io/github/stars/ravenscroftj/sapienta?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/sapienta)
An NLP pipeline for processing and enriching scientific papers with sentence-level information about their core scientific concepts (CoreSCs). This is a Python 3 implementation of Prof Maria Liakata's 2010 paper. We provide a free web service for low volume requests and a simple to use docker configuration for those who want to run the software over a larger number of papers.
# Academic Publications
### CDCRTool
[<img src="https://img.shields.io/github/stars/ravenscroftj/cdcrtool?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/cdcrtool)
A tool for annotating co-references of entities that occur in linked news paper article/scientific paper pairings. Some 'sharp' code but this was my first venture into 'full stack' using ReactJS on the frontend and Flask on the backend. The repository also contains the final corpus which we made available as part of our EACL21 publication.
### TimeTrack
[<img src="https://img.shields.io/github/stars/ravenscroftj/timetrack?style=social" alt="github repository" style="display:inline; margin: 0px;" />](https://github.com/ravenscroftj/timetrack)
A small command-line tool I wrote for monitoring my time spent on projects - it has API integration with the popular SaaS timesheet tool [Harvest](https://www.getharvest.com/)
## Academic Publications
Below are links to my various publishing profiles in case you prefer to follow me on an external site/silo:
- [ORCID](https://orcid.org/0000-0003-0293-9452)
- [Google Scholar Profile](https://scholar.google.co.uk/citations?user=e43P2foAAAAJ&hl=en)
- [Semantic Scholar](https://www.semanticscholar.org/author/145681615)
### 2022
<ul>
<li>Maufe, M., <strong>Ravenscroft, J.</strong>, Procter, R., & Liakata, M. (2022, December). <a href="">A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering.</a> In Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 80-97).
</li>
</ul>
### 2021
<ul>
<li><strong>Ravenscroft J.</strong>, Cattan A., Clare A., Dagan I., Liakata M. <a href="https://aclanthology.org/2021.eacl-main.21.pdf">CD<sup>2</sup>CR: Co-reference Resolution Across Documents and Domains</a></li>
<li><strong>Ravenscroft J.</strong>, Cattan A., Clare A., Dagan I., Liakata M. <a href="https://aclanthology.org/2021.eacl-main.21.pdf">CD<sup>2</sup>CR: Co-reference Resolution Across Documents and Domains</a> In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (pp. 270-280).</li>
</ul>
### 2019
@ -75,12 +67,12 @@ Below are links to my various publishing profiles in case you prefer to follow m
### 2018
<ul>
<li><strong>Ravenscroft, J.</strong>, Clare, A., &amp; Liakata, M. <a href="http://aclweb.org/anthology/P18-4004">HarriGT: Linking news articles to scientific literature.</a></li>
<li><strong>Ravenscroft, J.</strong>, Clare, A., &amp; Liakata, M. <a href="http://aclweb.org/anthology/P18-4004">HarriGT: Linking news articles to scientific literature.</a> In Proceedings of ACL 2018, System Demonstrations (pp. 19-24).</li>
</ul>
### 2017
<ul>
<li><strong>Ravenscroft, J.</strong>, Clare, A., Duma, D., Liakata, M. <a href="https://doi.org/10.1371/journal.pone.0173152">Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements</a></li>
<li><strong>Ravenscroft, J.</strong>, Clare, A., Duma, D., Liakata, M. <a href="https://doi.org/10.1371/journal.pone.0173152">Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements</a> PloS one, 12(3), e0173152.</li>
</ul>