🚀 State-of-the-art parsers for natural language.

DGMs for NLP. A roadmap.

[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

SemEval-2022 Shared Task 10: Structured Sentiment Analysis

Smoothed Dilated Convolutions for Improved Dense Prediction

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.

Sequential sets to sequential sets learning

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

The Mingled Structured Predictor

Python library for declarative, constrained, structured-output prediction.

A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).

Structured Prediction with Deep Value Networks (PyTorch implementation)

Machine learning algorithms for structured inputs and outputs, such as on OCR and voice-to-text data.

Code for the ICML 2021 paper "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization" by Sang Michael Xie, Tengyu Ma, Percy Liang