James Knox's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Automatically exported from code.google.com/p/becorpus
Automatically exported from code.google.com/p/biocaster-ontology
Collection of command-line tools for Chrome, OneTab, Evernote, and FireFox bookmark management. The tools are mostly to convert proprietary formats to markdown and organizing and add tags.
Finds a path of circumstantial relations between events on the basis of the CircumstantialEventOntology
Code for Stanford CS224u
Simple command-line scripts for document classification
Events and Situations Ontology
Repository for Fraud Dataset Benchmark
Resources for the ACL 2018 publication "Which Melbourne? Augmenting Geocoding with Maps", published in July 2018.
global report investigating novel coronavirus haplotypes
Alfred2 workflow for retrieving iCloud tabs from all devices
Simplify and improve the job hunting experience by integrating LLMs to automate tasks such as resume and cover letter generation, as well as application submission, saving users time and effort.
A collection of LaTeX templates used for research, courses, and miscellanea.
This Github provides the Jupyter notebooks for the Lab sessions of the VU Language-As-Data course.
The code and data accompanying the ACL 2017 "outstanding award" publication "Vancouver Welcomes You! Minimalist Location Metonymy Resolution"
Full text geoparsing as a Python library
GraphAware Framework Module for Integrating Neo4j with Elasticsearch
Foresight - Forensic Observation & Response Engine for Systematic Health Investigation and Global Threat Tracking [Proof of Concept] / SÉRUM - Système d'Évaluation et de Réponse Médico-légale pour les Urgences Mondiales [Preuve de concept]
RSS generator website
Full resources and Arxiv.org preprint supporting the forthcoming publication "A Pragmatic Guide to Geoparsing Evaluation."
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
Automatically exported from code.google.com/p/srl-editor