Alternatives and similar repositories for nmn-drop:

Users that are interested in nmn-drop are comparing it to the libraries listed below

• easonnie / semanticRetrievalMRS
  This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".
  ☆60Updated 5 years ago
• rajarshd / Multi-Step-Reasoning
  ☆120Updated last year
• qkaren / converse_reading_cmr
  code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"
  ☆77Updated 4 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆101Updated 4 years ago
• alontalmor / MultiQA
  ☆138Updated 3 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• allenai / allentune
  Hyperparameter Search for AllenNLP
  ☆135Updated last month
• uwnlp / open_type
  ☆69Updated 2 years ago
• microsoft / Transformer-XH
  ☆69Updated 4 years ago
• epwalsh / nlp-models
  NLP research experiments, built on PyTorch within the AllenNLP framework.
  ☆91Updated 11 months ago
• shmsw25 / single-hop-rc
  An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehensio…
  ☆58Updated 5 years ago
• xwhan / ProQA
  Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
  ☆43Updated last year
• allenai / propara
  ProPara (Process Paragraph Comprehension) dataset and models
  ☆81Updated 5 years ago
• huminghao16 / RE3QA
  Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
  ☆104Updated 5 years ago
• chinnadhurai / ParlAI
  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
  ☆36Updated 4 years ago
• shmsw25 / DecompRC
  An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"
  ☆138Updated 2 years ago
• diegma / graph-2-text
  Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
  ☆151Updated 5 years ago
• wellecks / nonmonotonic_text
  Non-Monotonic Sequential Text Generation (ICML 2019)
  ☆72Updated 5 years ago
• ZeweiChu / MQR
  ☆20Updated 5 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated 6 months ago
• raosudha89 / clarification_question_generation_pytorch
  Code and data for the paper: Answer-based Adversarial Training for Generating Clarification Questions
  ☆42Updated 4 years ago
• neulab / cmu-multinlp
  Generalizing Natural Language Analysis through Span-relation Representations
  ☆91Updated 2 years ago
• thespectrewithin / joint_align
  Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
  ☆52Updated 5 years ago
• allenai / Break
  ☆82Updated 2 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆47Updated 5 years ago
• vid-koci / bert-commonsense
  Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Re…
  ☆70Updated 2 years ago
• shmsw25 / qa-hard-em
  An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"
  ☆137Updated 4 years ago
• raylin1000 / drop-bert
  NABERT model for solving the DROP dataset
  ☆26Updated 5 years ago
• my89 / co-squac
  A repository for converting between CoQA, SQuAD2, and QuAC and visualizing the data.
  ☆25Updated 6 years ago
• cfmrp / tutorial
  Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)
  ☆114Updated 5 years ago