Alternatives and similar repositories for neural-nlp-explanation-experiment:

Users that are interested in neural-nlp-explanation-experiment are comparing it to the libraries listed below

• umanlp / tg2019task
  TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
  ☆44Updated 4 years ago
• YujiaBao / R2A
  "Deriving Machine Attention from Human Rationales" EMNLP 2018
  ☆27Updated 5 years ago
• xingdi-eric-yuan / imrc_public
  Code for paper "Interactive Machine Comprehension with Information Seeking Agents" -- public version
  ☆23Updated 5 years ago
• MurtyShikhar / ExpBERT
  Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
  ☆29Updated 4 years ago
• vanzytay / NIPS2018_RCRN
  Tensorflow Source code for "Recurrently Controlled Recurrent Networks" (NIPS 2018)
  ☆23Updated 6 years ago
• ketranm / fan_vs_rnn
  The Importance of Being Recurrent for Modeling Hierarchical Structure
  ☆25Updated 6 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆57Updated 3 years ago
• sutd-statnlp / statnlp-neural
  statnlp-neural
  ☆31Updated 5 years ago
• Lorraine333 / ACL_CKBC
  ☆22Updated 6 years ago
• mingdachen / vsl
  Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)
  ☆34Updated 6 years ago
• uwnlp / event2mind
  Commonsense Inference on Events, Intents, and Reactions
  ☆44Updated 5 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆48Updated last year
• alontalmor / LeapOfThought
  ☆48Updated last year
• 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…
  ☆55Updated 2 years ago
• pramodkaushik / acl18_results
  Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
  ☆34Updated 6 years ago
• pcyin / structVAE
  ☆54Updated 4 years ago
• hhexiy / debiased
  Learn models that are robust to spurious correlations in the dataset.
  ☆26Updated 5 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆47Updated 4 years ago
• mingdachen / disentangle-semantics-syntax
  Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)
  ☆68Updated 3 years ago
• deep-spin / OpenNMT-entmax
  ☆14Updated 5 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 3 years ago
• johnmwu / contextual-corr-analysis
  ☆17Updated 4 years ago
• lifu-tu / ENGINE
  ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
  ☆24Updated 4 years 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 3 years ago
• jacobandreas / comp-aug
  ☆7Updated 6 years ago
• jamie-murdoch / ContextualDecomposition
  Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
  ☆57Updated 4 years ago
• IKMLab / arct2
  Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
  ☆53Updated 2 years ago
• INK-USC / ConNet
  ☆12Updated 4 years ago
• wenhuchen / Variational-Vocabulary-Selection
  Code for NAACL19 Paper "How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection"
  ☆42Updated 5 years ago
• JamesHujy / ELV
  ☆20Updated 3 years ago