:rocket: 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

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

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

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)

No description provided.

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

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

[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'

Must-read papers for unsupervised structured prediction

CRF Toolkit based on C#; support ADF (Adaptive stochastic gradient Decent based on Feature-frequency information, ACL 2012)

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

A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.

Code for "An Empirical Investigation of Beam-Aware Training in Supertagging" to appear in EMNLP Findings 2020

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.

Image Segmentation by Iterative Inference from Conditional Score Estimation

Submission titled Non-neural Structured Prediction for Event Detection from News in Indian Languages for EDNIL 2020 - Event Detection from News in Indian Languages

Context-Free Grammar-guided Generation of FHIR Resources Using Large Language Models

Stock Price Change Direction Prediction