rycolab / aflt-f2023

Related projects ⓘ

Alternatives and complementary repositories for aflt-f2023

• sustcsonglin / disco-pointer
  Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …
  ☆14Updated last year
• iesl / s-diora
  ☆12Updated 3 years ago
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆11Updated 2 years ago
• speedcell4 / nersted
  Official implementation of "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path" (ACL'21)
  ☆9Updated 2 years ago
• whyNLP / Probabilistic-Transformer
  A probabilitic model for contextual word representation. Accepted to ACL2023 Findings.
  ☆17Updated last year
• davidweichiang / tikz-qtree
  Easy trees in LaTeX and TikZ
  ☆13Updated last year
• rycolab / parsing-as-tagging
  ☆18Updated last year
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆11Updated 8 months ago
• berlino / btg-seq2seq
  ☆12Updated last year
• Noahs-ARK / PaLM
  PyTorch implementation for PaLM: A Hybrid Parser and Language Model.
  ☆10Updated 4 years ago
• MurtyShikhar / Pushdown-Layers
  Code for Pushdown Layers from our EMNLP 2023 paper
  ☆26Updated 11 months ago
• Doraemonzzz / nanoTransNormer
  ☆11Updated last year
• deep-spin / understanding-spigot
  Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"
  ☆11Updated 3 years ago
• rycolab / tree_expectations
  Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988
  ☆10Updated 3 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 2 years ago
• Timothyxxx / NeuralSymbolicPapers
  ☆14Updated 2 years ago
• machelreid / editpro
  Learning to Model Editing Processes
  ☆26Updated 2 years ago
• IBM / transformers-struct-guidance
  Code for the ACL 2021 paper "Structural Guidance for Transformer Language Models"
  ☆12Updated 2 years ago
• emorynlp / seq2seq-corenlp
  ☆13Updated last year
• jungokasai / T2R
  ☆13Updated 2 years ago
• mstrise / dep2label-up
  Dependency Parsing as Sequence Labeling with Python3+ and PyTorch1+ and MTL
  ☆10Updated 5 years ago
• robert-lieck / RBN
  Recursive Bayesian Networks
  ☆11Updated last month
• da03 / criticize_text_generation
  A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …
  ☆11Updated last year
• bdusell / stack-attention
  Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"
  ☆16Updated 8 months ago
• yafuly / SyntacticGen
  ☆14Updated last year
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆15Updated 10 months ago
• aistairc / rnng-pytorch
  ☆21Updated 3 years ago
• stanojevic / Fast-MST-Algorithm
  Implementation of fast algorithms for Maximum Spanning Tree (MST) parsing that includes fast ArcMax+Reweighting+Tarjan algorithm for sing…
  ☆14Updated last year
• ekinakyurek / lexical
  Paper: Lexicon Learning for Few-Shot Neural Sequence Modeling
  ☆15Updated 2 years ago
• zhaoyanpeng / xcfg
  X (weighted / probabilistic) Context-Free Grammars
  ☆25Updated 9 months ago