forest-snow

alps

Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".

anchor-topic

This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.

mtanchor_demo

Repository contains demo code for MTAnchor, an interactive, multilingual topic modeling system. The code accompanies the paper Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages (Yuan et al., 2018).

incremental-coref

Code for "Adapting Coreference Resolution Models through Active Learning"

clime-ui

Code accompanying EMNLP 2020 paper "Interactive Refinement of Cross-Lingual Word Embeddings".

adan

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

ankura

Anchor-based topic modeling

cl2final

CMSC828L

dan

Deep Averaging Networks

discrete-active-learning-coref

Active learning for coreference resolution using discrete annotation

dotfiles

forest-snow.github.io

jbg-web

Source code for Jordan Boyd-Graber's academic webpage.

mvlsa

Multiview LSA

plotnine-examples

Jupyter Notebooks that are part of the plotnine documentation

sciqa

A project to build an algorithm that answers science questions correctly. Each question being trained is supplied with four answers, with only one answer being correct. Our algorithm tries to solve a much smaller subproblem of the task that Jordan Boyd-Graber's QANTA system addresses.

tbuie

The Best UI Ever...sorta...