Alternatives and similar repositories for LongDocSum:

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

• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• neulab / REALSumm
  REALSumm: Re-evaluating Evaluation in Text Summarization
  ☆71Updated 2 years ago
• harsh19 / Reasoning-Chains-MultihopQA
  Code and Data for our EMNLP 2020 paper titled 'Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multiho…
  ☆28Updated 3 years ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆91Updated 2 years ago
• nlpyang / NoisySumm
  Codes for NAACL 2021 paper 'Noisy Self-Knowledge Distillation for Text Summarization'
  ☆23Updated 3 years ago
• teacherpeterpan / Zero-shot-Fact-Verification
  Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"
  ☆63Updated 3 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 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
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• salesforce / DocNLI
  ☆68Updated 3 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated 7 months ago
• amazon-science / fact-check-summarization
  ☆77Updated 10 months ago
• princeton-nlp / MADE
  EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering
  ☆70Updated 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 2 years ago
• DevSinghSachan / syntax-augmented-bert
  Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
  ☆74Updated 3 years ago
• Alibaba-NLP / MultilangStructureKD
  [ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
  ☆71Updated 2 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• dayihengliu / CRQDA
  Code for EMNLP2020 paper: "Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space"
  ☆26Updated 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.
  ☆28Updated 7 months ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated last year
• sebastianruder / emnlp2021-multiqa-tutorial
  EMNLP 2021 Tutorial: Multi-Domain Multilingual Question Answering
  ☆38Updated 3 years ago
• CogComp / faithful_summarization
  ☆15Updated 3 years ago
• uclanlp / synpg
  Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".
  ☆38Updated 8 months ago
• yuwfan / FILTER
  ☆21Updated 3 years ago
• wzhouad / NLL-IE
  Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021
  ☆55Updated 3 years ago
• thunlp / CorefBERT
  Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"
  ☆68Updated 2 years ago
• jhyuklee / sparc
  ACL'2020: Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
  ☆49Updated 4 years ago
• oriram / splinter
  ☆92Updated 3 years ago
• wangcunxiang / SemEval2020-Task4-Commonsense-Validation-and-Explanation
  This project is special for SemEval2020 task4 Commonsense Validation and Explanantion
  ☆48Updated 4 years ago