Alternatives and similar repositories for tree_expectations

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

• rycolab / prefix-parsing
  ☆14Updated last year
• iesl / s-diora
  ☆12Updated 4 years ago
• ekinakyurek / lexical
  Paper: Lexicon Learning for Few-Shot Neural Sequence Modeling
  ☆16Updated 3 years ago
• deep-spin / understanding-spigot
  Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"
  ☆11Updated 4 years ago
• machelreid / editpro
  Learning to Model Editing Processes
  ☆26Updated 3 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• libowen2121 / VI-dependency-syntax
  Dependency Grammar Induction
  ☆18Updated 6 years ago
• berlino / btg-seq2seq
  ☆12Updated 2 years ago
• srush / ProbTalk
  ☆29Updated 3 years ago
• neulab / neural-lpcfg
  The Return of Lexical Dependencies: Neural Lexicalized PCFGs (TACL)
  ☆33Updated 3 years ago
• Noahs-ARK / rational-recurrences
  Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.
  ☆28Updated 3 years ago
• timvieira / vocrf
  Variable-order CRFs with structure learning
  ☆16Updated 10 months ago
• swiseman / neighbor-splicing
  ☆12Updated 3 years ago
• sustcsonglin / disco-pointer
  Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …
  ☆13Updated last year
• zhaoyanpeng / xcfg
  X (weighted / probabilistic) Context-Free Grammars
  ☆25Updated last year
• FilippoC / diffdp
  Differentiable Perturb-and-Parse operator
  ☆25Updated 6 years ago
• aistairc / rnng-pytorch
  ☆22Updated 3 years ago
• sustcsonglin / second-order-neural-dmv
  source code of COLING2020 "Second-Order Unsupervised Neural Dependency Parsing"
  ☆16Updated 2 years ago
• tommccoy1 / rnn-hierarchical-biases
  Code for "Does syntax need to grow on trees? Sources of inductive bias in sequence to sequence networks"
  ☆23Updated 5 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 2 years ago
• yoonkim / neural-qcfg
  ☆45Updated 3 years ago
• mstrise / dep2label-up
  Dependency Parsing as Sequence Labeling with Python3+ and PyTorch1+ and MTL
  ☆10Updated 5 years ago
• zomux / lanmt-ebm
  lanmt ebm
  ☆12Updated 5 years ago
• 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 2 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 2 weeks ago
• Noahs-ARK / PaLM
  PyTorch implementation for PaLM: A Hybrid Parser and Language Model.
  ☆10Updated 5 years ago
• chaojiang06 / arXivEdits
  Data for EMNLP 2022 paper "arXivEdits: Understanding the Human Revision Process in Scientific Writing".
  ☆14Updated last year
• galsang / trees_from_transformers
  Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…
  ☆30Updated 2 years ago
• suzgunmirac / crowd-sampling
  Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
  ☆18Updated 2 years ago
• rycolab / parsing-as-tagging
  ☆18Updated last year