Alternatives and similar repositories for Multi-Step-Reasoning

Users that are interested in Multi-Step-Reasoning are comparing it to the libraries listed below

• 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
• shmsw25 / DecompRC
  An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"
  ☆138Updated 3 years ago
• yicheng-w / CommonSenseMultiHopQA
  Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"
  ☆123Updated 6 years ago
• shmsw25 / qa-hard-em
  An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"
  ☆136Updated 5 years ago
• yairf11 / MUPPET
  Code for the paper "multi-hop paragraph retrieval for open-domain question answering"
  ☆36Updated 3 years ago
• raylin1000 / drop-bert
  NABERT model for solving the DROP dataset
  ☆26Updated 6 years ago
• easonnie / semanticRetrievalMRS
  This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".
  ☆60Updated 5 years ago
• my89 / co-squac
  A repository for converting between CoQA, SQuAD2, and QuAC and visualizing the data.
  ☆25Updated 6 years ago
• alontalmor / MultiQA
  ☆140Updated 4 years ago
• allenai / aristo-leaderboard
  Tools and datasets for Aristo Leaderboards
  ☆42Updated 4 years ago
• shuohangwang / comatch
  ☆43Updated 6 years ago
• hsinyuan-huang / FlowQA
  Implementation of conversational QA model: FlowQA (with slight improvement)
  ☆197Updated 6 years ago
• 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
• chinnadhurai / ParlAI
  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
  ☆36Updated 4 years ago
• AmitMY / chimera
  Code from the paper "Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation - NAACL-2019.
  ☆127Updated last year
• nouhadziri / THRED
  The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
  ☆110Updated 7 months ago
• ecchochan / roberta-squad
  roBERTa training for SQuAD
  ☆50Updated 5 years ago
• facebookresearch / TreeNLG
  A novel method of constrained decoding for neural NLG (NNLG) models
  ☆83Updated 5 years ago
• wilburOne / cosmosqa
  ☆64Updated 2 years ago
• huminghao16 / RE3QA
  Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
  ☆104Updated 5 years ago
• shuohangwang / mprc
  ☆81Updated 7 years ago
• luheng / lsgn
  Labeled Span Graph Networks
  ☆118Updated 7 years ago
• lancopku / Unpaired-Sentiment-Translation
  Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL 2018)
  ☆108Updated 6 years ago
• diegma / graph-2-text
  Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
  ☆151Updated 6 years ago
• vanzytay / EMNLP2018_NLI
  Repository for NLI models (EMNLP 2018)
  ☆61Updated 6 years ago
• mingdachen / syntactic-template-generation
  Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)
  ☆80Updated 5 years ago
• kevinduh / san_mrc
  Stochastic Answer Networks (SAN) for Machine Reading Comprehension
  ☆148Updated 6 years ago
• cbaziotis / seq3
  Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sen…
  ☆125Updated 3 years ago
• nitishgupta / nmn-drop
  Neural Module Network for Reasoning over Text, ICLR 2020
  ☆120Updated 4 years ago
• raosudha89 / ranking_clarification_questions
  Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Info…
  ☆102Updated 6 years ago