LeeSureman / Sequence-Labeling-Early-Exit

Related projects: ⓘ

• THU-BPM / PairSCL
  The source code of paper "PAIR-LEVEL SUPERVISED CONTRASTIVE LEARNING FOR NATURAL LANGUAGE INFERENCE" at ICASSP 2022.
  ☆46Updated last year
• 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
• microsoft / REINA
  ☆116Updated 2 years ago
• RandyZhouRan / MELM
  Code for "MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER"
  ☆44Updated 2 years ago
• xuuuluuu / SynLSTM-for-NER
  Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.
  ☆29Updated 2 years ago
• jiacheng-ye / UANet
  Code for our EMNLP 2020 paper "Uncertainty-Aware Label Refinement for Sequence Labeling"
  ☆22Updated 3 years ago
• caskcsg / TextSmoothing
  ☆34Updated 2 years ago
• dinghanshen / Cutoff
  The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach …
  ☆62Updated 3 years ago
• yxuansu / TaCL
  [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
  ☆91Updated 2 years ago
• yuwfan / FILTER
  ☆21Updated 2 years ago
• luciusssss / why-learn-shortcut
  [ACL'21 Findings] Why Machine Reading Comprehension Models Learn Shortcuts?
  ☆16Updated last year
• yumeng5 / RoSTER
  [EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
  ☆63Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• fuzihaofzh / distant_supervision_nlg
  Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.
  ☆20Updated 3 years ago
• ictnlp / DialoFlow
  Code for ACL 2021 main conference paper "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances".
  ☆93Updated 3 years ago
• Alibaba-NLP / AIN
  Code for our EMNLP 2020 Paper "AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network"
  ☆18Updated last year
• jingjingli01 / TGLS
  TGLS: Unsupervised Text Generation by Learning from Search
  ☆24Updated 3 years ago
• THUDM / FewNLU
  ☆65Updated 2 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆61Updated last year
• princeton-nlp / MADE
  EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering
  ☆70Updated 2 years ago
• bigganbing / Fairseq_MorphTE
  [NeurIPS 2022]MorphTE: Injecting Morphology in Tensorized Embeddings
  ☆17Updated last year
• nlpyang / NoisySumm
  Codes for NAACL 2021 paper 'Noisy Self-Knowledge Distillation for Text Summarization'
  ☆23Updated 3 years ago
• SALT-NLP / LADA
  Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
  ☆44Updated last year
• thunlp / PELT
  Source code for "A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models"
  ☆44Updated last year
• peterwestuw / BottleSum
  ☆36Updated 4 years ago
• wangruicn / DialogueCSE
  DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
  ☆19Updated 2 years ago
• lipiji / uChecker
  Code of the COLING22 paper "uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers"
  ☆18Updated 2 years ago
• yizhen20133868 / CI-ToD
  PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialog…
  ☆27Updated 2 years ago
• takase / rethink_perturbations
  Rethinking Perturbations in Encoder-Decoders for Fast Training
  ☆18Updated 2 years ago
• LeslieOverfitting / selective_distillation
  ☆35Updated 3 years ago