salesforce / query-focused-sum

Related projects ⓘ

Alternatives and complementary repositories for query-focused-sum

• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆52Updated last year
• Yale-LILY / ROSE
  ☆35Updated last year
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• amazon-science / fact-check-summarization
  ☆77Updated 6 months ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆47Updated last year
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆63Updated 2 years ago
• salesforce / QAFactEval
  ☆41Updated last year
• Yale-LILY / QMSum
  Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
  ☆110Updated last year
• kite99520 / DialSummEval
  Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"
  ☆14Updated last year
• McGill-NLP / FaithDial
  ☆48Updated last year
• W4ngatang / qags
  Question Answering and Generation for Summarization
  ☆68Updated last year
• neulab / REALSumm
  REALSumm: Re-evaluating Evaluation in Text Summarization
  ☆71Updated 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
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆64Updated 3 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• stangelid / qt
  ☆41Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆22Updated 7 months ago
• peterwestuw / surface-form-competition
  ☆57Updated 2 years ago
• CogComp / faithful_summarization
  ☆15Updated 3 years ago
• mingdachen / WikiTableT
  Code, data, and pretrained models for the paper "Generating Wikipedia Article Sections from Diverse Data Sources"
  ☆19Updated 3 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated last year
• ThomasScialom / QuestEval
  ☆90Updated 8 months ago
• mia-workshop / MIA-Shared-Task-2022
  An official repository for MIA 2022 (NAACL 2022 Workshop) Shared Task on Cross-lingual Open-Retrieval Question Answering.
  ☆31Updated 2 years ago
• salesforce / QGen
  ☆33Updated last year
• Shikib / usr
  Code for ACL 2020 paper: USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation (https://arxiv.org/pdf/2005.0045…
  ☆50Updated last year
• scai-conf / SCAI-QReCC-21
  Resources for the shared task on conversational question answering SCAI-QReCC 2021
  ☆27Updated 2 years ago
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆81Updated 3 years ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆39Updated 10 months ago