mcoavoux's Stars
xdqkid/AMR-Visualization
AMR-Visualization Tools, show AMR graph strcucture
alban-petit/semantic-supertag-parser
Structural generalization in COGS: Supertagging is (almost) all you need
copenlu/ALPS_2021
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
princeton-vl/attach-juxtapose-parser
Code for the paper "Strongly Incremental Constituency Parsing with Graph Neural Networks"
jonathanherzig/span-based-sp
Author implementation of the paper "Span-based Semantic Parsing for Compositional Generalization"
ccjenny26/AI_justice
Project of classification decisions from the court using BERT
deep-spin/entmax
The entmax mapping and its loss, a family of sparse softmax alternatives.
nikitakit/tetra-tagging
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
CoEDL/elpis
🙊 software for creating speech recognition models.
persephone-tools/persephone
A tool for automatic phoneme transcription
hopsparser/hopsparser
A neural dependency parser that does its best
LoicGrobol/UD_Old_French-SRCMF
Old French data.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
getalp/Flaubert
Unsupervised Language Model Pre-training for French
john-hewitt/structural-probes
Codebase for testing whether hidden states of neural networks encode discrete structures.
langprocgroup/nn_syntactic_state
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
plasticityai/magnitude
A fast, efficient universal vector embedding utility package.
hantek/distance-parser
Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018
amirbawab/corpus-tools
Corpus tools
mhjabreel/CharCNN
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
languageMIT/naturalstories
Corpus of naturalistic stories with annotation and psycholinguistic measures
facebookresearch/colorlessgreenRNNs
Code and data for paper Colorless Green Recurrent Networks Dream Hierarchically
allenai/PeerRead
Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
XachaB/Qumin
Quantitative modelling of inflection