Alternatives and similar repositories for CONCRETE

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

• CambridgeNLIP / verification-real-world-info-needs
  ☆23Updated 2 years ago
• mbzuai-nlp / ProgramFC
  Code for the ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆56Updated 2 years ago
• Mayer123 / UDT-QA
  Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)
  ☆56Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated 2 years ago
• MichSchli / AVeriTeC
  ☆65Updated 10 months ago
• jifan-chen / subquestions-for-fact-checking
  Code and dataset for the paper: Generating Literal and Implied Subquestions to Fact-check Complex Claims
  ☆28Updated 2 years ago
• mcao516 / EntFA
  ☆27Updated 2 years ago
• hover-nlp / hover
  ☆18Updated 4 years ago
• Yixiao-Song / VeriScore
  ☆30Updated 10 months ago
• teacherpeterpan / ProgramFC
  Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆31Updated 2 years ago
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated 2 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆59Updated 2 years ago
• ChenxinAn-fdu / CGSum
  [AAAI'21] Code and dataset for our paper: Enhancing Scientific Papers Summarization with Citation Graph
  ☆25Updated 3 years ago
• XinyuanLu00 / QACheck
  About Data and Codes for EMNLP 2023 System Demo Paper "QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking"
  ☆19Updated last year
• goodbai-nlp / AMRBART
  Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022
  ☆101Updated last year
• acl-org / responsibleNLPresearch
  templates and other documents regarding responsible NLP research
  ☆70Updated 2 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆49Updated 2 years ago
• qiangning / MATRES
  ☆45Updated 3 years ago
• tingofurro / summac
  Codebase, data and models for the SummaC paper in TACL
  ☆102Updated 8 months ago
• asaakyan / covidfact
  Data and code for the paper COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.
  ☆39Updated 8 months ago
• omnilabNLP / LogicNLI
  ☆16Updated 3 years ago
• WadeYin9712 / GeoMLAMA
  ☆15Updated 2 years ago
• ict-bigdatalab / CorpusBrain
  CIKM 2022: CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
  ☆34Updated 3 years ago
• ej0cl6 / TextEE
  A standardized, fair, and reproducible benchmark for evaluating event extraction approaches
  ☆56Updated 5 months ago
• skgabriel / mrf-modeling
  Data and models for Misinfo Reaction Frames paper.
  ☆14Updated last year
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆28Updated last year
• prdwb / orconvqa-release
  ☆58Updated 4 years ago
• tagoyal / factuality-datasets
  ☆46Updated 2 years ago
• LanD-FBK / benchmark-gen-explanations
  Codes for "Benchmarking the Generation of Fact Checking Explanations"
  ☆10Updated last year
• diyiy / ACL2022_Limited_Data_Learning_Tutorial
  ☆92Updated 3 years ago