Alternatives and similar repositories for ACL2022_Limited_Data_Learning_Tutorial:

Users that are interested in ACL2022_Limited_Data_Learning_Tutorial are comparing it to the libraries listed below

• shmsw25 / Channel-LM-Prompting
  An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
  ☆131Updated 2 years ago
• shijie-wu / crosslingual-nlp
  This repo supports various cross-lingual transfer learning & multilingual NLP models.
  ☆92Updated last year
• oriram / splinter
  ☆92Updated 3 years ago
• Yale-LILY / QMSum
  Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
  ☆115Updated last year
• dapascual / K2T
  ☆70Updated 3 years ago
• amazon-science / sentence-representations
  ☆78Updated 2 years ago
• acl-org / responsibleNLPresearch
  templates and other documents regarding responsible NLP research
  ☆64Updated last year
• princeton-nlp / OptiPrompt
  [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
  ☆167Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• Yale-LILY / dart
  Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
  ☆148Updated 2 years ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆91Updated 2 years ago
• jiacheng-ye / DocL-NER
  Code for our paper "Leveraging Document-Level Label Consistency for Named Entity Recognition" and "Uncertainty-Aware Sequence Labeling"
  ☆19Updated 2 years ago
• lvyiwei1 / StylePTB
  ☆61Updated 2 years ago
• W4ngatang / qags
  Question Answering and Generation for Summarization
  ☆68Updated 2 years ago
• GaryYufei / PromDA
  Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"
  ☆67Updated last year
• THUDM / FewNLU
  ☆66Updated 3 years ago
• yxuansu / TaCL
  [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
  ☆92Updated 2 years ago
• DevSinghSachan / emdr2
  Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…
  ☆108Updated 2 years ago
• mcao516 / EntFA
  ☆25Updated 2 years ago
• ThomasScialom / QuestEval
  ☆92Updated 10 months 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 4 years ago
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 3 years ago
• tingofurro / summac
  Codebase, data and models for the SummaC paper in TACL
  ☆87Updated 2 weeks ago
• amzn / multiconer-baseline
  ☆47Updated last year
• wzhouad / NLL-IE
  Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021
  ☆55Updated 3 years ago
• INK-USC / CrossFit
  Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
  ☆107Updated 2 years ago
• TalSchuster / VitaminC
  Contrastive Fact Verification
  ☆71Updated 2 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆47Updated 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
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago