Pinned Repositories
adan
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
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.
ankura
Anchor-based topic modeling
cl2final
clime-ui
Code accompanying EMNLP 2020 paper "Interactive Refinement of Cross-Lingual Word Embeddings".
CMSC828L
dan
Deep Averaging Networks
incremental-coref
Code for "Adapting Coreference Resolution Models through Active Learning"
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).
forest-snow's Repositories
forest-snow/alps
Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
forest-snow/anchor-topic
This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
forest-snow/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).
forest-snow/incremental-coref
Code for "Adapting Coreference Resolution Models through Active Learning"
forest-snow/clime-ui
Code accompanying EMNLP 2020 paper "Interactive Refinement of Cross-Lingual Word Embeddings".
forest-snow/adan
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
forest-snow/ankura
Anchor-based topic modeling
forest-snow/cl2final
forest-snow/CMSC828L
forest-snow/dan
Deep Averaging Networks
forest-snow/discrete-active-learning-coref
Active learning for coreference resolution using discrete annotation
forest-snow/dotfiles
forest-snow/forest-snow.github.io
forest-snow/jbg-web
Source code for Jordan Boyd-Graber's academic webpage.
forest-snow/mvlsa
Multiview LSA
forest-snow/plotnine-examples
Jupyter Notebooks that are part of the plotnine documentation
forest-snow/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.
forest-snow/tbuie
The Best UI Ever...sorta...