🚀 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

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

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

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.)

Structured Prediction with Deep Value Networks (PyTorch implementation)

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).

This repository contains the official PyTorch implementation of the paper: "Learning Discrete Structured VAE using NES".

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