Alternatives and similar repositories for fact-graph

Users that are interested in fact-graph are comparing it to the libraries listed below

• teacherpeterpan / Zero-shot-Fact-Verification
  Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"
  ☆65Updated 3 years ago
• youngbin-ro / Multi2OIE
  Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
  ☆56Updated 3 years ago
• amazon-science / fact-check-summarization
  ☆78Updated last year
• TalSchuster / VitaminC
  Contrastive Fact Verification
  ☆73Updated 3 years ago
• yaolu / Multi-XScience
  Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
  ☆46Updated last year
• DevSinghSachan / syntax-augmented-bert
  Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
  ☆75Updated 3 years ago
• wang-research-lab / deepex
  Code repo for EMNLP21 paper "Zero-Shot Information Extraction as a Unified Text-to-Triple Translation"
  ☆108Updated last year
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆68Updated 4 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• neulab / wikiasp
  Code for WikiAsp: Multi-document aspect-based summarization.
  ☆42Updated 4 years ago
• RUCAIBox / Few-Shot-KG2Text
  Source for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"
  ☆50Updated 2 years ago
• kleinay / seq2seq_constrained_decoding
  Constrained decoding utilities for text generation using Huggingface seq2seq models
  ☆24Updated 2 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆40Updated 3 years ago
• dmis-lab / GeNER
  Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)
  ☆76Updated 2 years ago
• allenai / modularqa
  Code for ModularQA
  ☆28Updated 4 years ago
• epfl-dlab / GenIE
  The autoregressive information extraction system GenIE (Generative Information Extraction) implemented in PyTorch.
  ☆104Updated 2 years ago
• jifan-chen / QA-Verification-Via-NLI
  Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"
  ☆25Updated 2 years ago
• allenai / rainbow
  Neural models of common sense. 🤖
  ☆98Updated 2 years ago
• swarnaHub / ExplaGraphs
  [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
  ☆14Updated 2 years ago
• wzhouad / NLL-IE
  Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021
  ☆55Updated 3 years ago
• bjascob / amrlib-models
  Repository for model used in amrlib
  ☆27Updated last year
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆69Updated 3 years ago
• princeton-nlp / EntityQuestions
  EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535
  ☆146Updated 3 years ago
• McGill-NLP / FaithDial
  ☆50Updated 2 years ago
• Jacobsolawetz / large-scale-oie
  ☆38Updated 3 years ago
• salesforce / QGen
  ☆33Updated 2 years ago
• Yale-LILY / dart
  Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
  ☆155Updated 2 years ago
• salesforce / DocNLI
  ☆68Updated 5 months ago
• jzbjyb / X-FACTR
  ☆24Updated 2 years ago
• mingdachen / WikiTableT
  Code, data, and pretrained models for the paper "Generating Wikipedia Article Sections from Diverse Data Sources"
  ☆20Updated 4 years ago