Alternatives and similar repositories for PathQG

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

• DRSY / DGen
  [AAAI 2021]Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
  ☆22Updated 3 years ago
• WING-NUS / SG-Deep-Question-Generation
  This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
  ☆64Updated last year
• Yifan-Gao / Discern
  [EMNLP 2020] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
  ☆36Updated 2 years ago
• IBM / translucent-answer-prediction
  TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that …
  ☆28Updated 5 years ago
• bright2013 / CorefAwareMRC
  Codes for coreference-aware machine reading comprehension
  ☆13Updated 3 years ago
• goodbai-nlp / Sem-Dialogue
  Code for our paper "Semantic Representation for Dialogue Modeling" in ACL2021
  ☆45Updated 2 years ago
• wwxu21 / AMR-SG
  ☆21Updated 3 years ago
• sion-zcfei / CQG
  The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
  ☆23Updated 2 years ago
• HLTCHKUST / MulQG
  Multi-hop Question Generation with Graph Convolutional Network
  ☆30Updated 2 years ago
• aagohary / canard
  Repo for the question-in-context rewriting baseline presented in Elgohary et al. "Can you unpack that? Learning to rewrite questions-in-c…
  ☆22Updated 5 years ago
• SiyuanWangw / StepwiseQA
  The code of Paper "Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering".
  ☆21Updated 2 years ago
• jq2276 / Learning2Copy
  ☆20Updated 4 years ago
• LHRYANG / CRL_EGPG
  Pytorch Implementation of "Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation"
  ☆26Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 3 years ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆29Updated 10 months ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• jessionlin / csqa
  ☆39Updated 4 years ago
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆24Updated 3 years ago
• ictnlp / DialoFlow
  Code for ACL 2021 main conference paper "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances".
  ☆94Updated 3 years ago
• luciusssss / why-learn-shortcut
  [ACL'21 Findings] Why Machine Reading Comprehension Models Learn Shortcuts?
  ☆16Updated last year
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• JD-AI-Research-NLP / RoR
  ☆14Updated 2 years ago
• fuzihaofzh / distant_supervision_nlg
  Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.
  ☆19Updated 4 years ago
• Yifan-Gao / explicit_memory_tracker
  [ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
  ☆39Updated 2 years ago
• yxuansu / HCL
  [ACL'21] Dialogue Response Selection with Hierarchical Curriculum Learning
  ☆21Updated 2 years ago
• njuzrs / dialogue_distillation
  ☆15Updated 2 years ago
• c-box / LANKA
  Code for ACL2021 long paper: Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
  ☆29Updated 3 years ago
• BangLiu / QG
  Implementation of the paper "Learning to Generate Questions by Learning What not to Generate"
  ☆31Updated 6 years ago
• YuxiXie / SG-Deep-Question-Generation
  This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
  ☆76Updated 2 years ago
• JD-AI-Research-Silicon-Valley / SAE
  Code for AAAI 2020 paper "Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents"
  ☆41Updated 5 years ago