Alternatives and similar repositories for ContextualDecomposition:

Users that are interested in ContextualDecomposition are comparing it to the libraries listed below

• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 3 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 3 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆169Updated 6 years ago
• Sachin19 / seq2seq-con
  Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"
  ☆77Updated 3 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 3 years ago
• urvashik / lm-context-analysis
  Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"
  ☆54Updated 6 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆48Updated 5 years ago
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆71Updated 3 years ago
• yala / text_nn
  Text classification models. Used a submodule for other projects.
  ☆68Updated 5 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 4 years ago
• pramodkaushik / acl18_results
  Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
  ☆33Updated 6 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆70Updated 7 months ago
• decompositional-semantics-initiative / DNC
  Diverse Natural Language Inference Collection - NLI dataset that can used to evaluate how well models perform distinct types of reasoning…
  ☆36Updated 4 years ago
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆54Updated 3 years ago
• violet-zct / MSVED-morph-reinflection
  An implementation of semi-supervised VAE for morphology reinflection.
  ☆26Updated 5 years ago
• nelson-liu / inoculation-by-finetuning
  Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.
  ☆19Updated 6 years ago
• Noahs-ARK / soft_patterns
  Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…
  ☆54Updated 2 years ago
• pclucas14 / GansFallingShort
  Code for "Language GANs Falling Short"
  ☆59Updated 4 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 2 years ago
• XiangLi1999 / syntactic-VIB
  Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB
  ☆52Updated 2 years ago
• BIU-NLP / Breaking_NLI
  NLI test set with lexical inferences
  ☆49Updated 6 years ago
• yanaiela / demog-text-removal
  ☆51Updated 6 years ago
• tom-pelsmaeker / deep-generative-lm
  Code accompanying the paper "Effective Estimation of Deep Generative Language Models".
  ☆25Updated 4 years ago
• yftah89 / Neural-SCL-Domain-Adaptation
  The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
  ☆14Updated 6 years ago
• robinjia / adversarial-squad
  Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
  ☆118Updated 6 years ago
• mingdachen / disentangle-semantics-syntax
  Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)
  ☆67Updated 4 years ago
• IBM / superglue-mtl
  Boolean Question Answering with multi-task learning and uses large LM embeddings like BERT, RoBERTa
  ☆18Updated 5 years ago