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Structured Prediction

55 papers with code · Methodology

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Latest papers with code

Phrase Grounding by Soft-Label Chain Conditional Random Field

1 Sep 2019liujch1998/SoftLabelCCRF

In this paper, we formulate phrase grounding as a sequence labeling task where we treat candidate regions as potential labels, and use neural chain Conditional Random Fields (CRFs) to model dependencies among regions for adjacent mentions.

PHRASE GROUNDING STRUCTURED PREDICTION

4
01 Sep 2019

A Smoother Way to Train Structured Prediction Models

NeurIPS 2018 krishnap25/casimir

We present a framework to train a structured prediction model by performing smoothing on the inference algorithm it builds upon.

NAMED ENTITY RECOGNITION OBJECT LOCALIZATION STRUCTURED PREDICTION

0
08 Feb 2019

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers

ACL 2019 helloeve/mre-in-one-pass

Most approaches to extraction multiple relations from a paragraph require multiple passes over the paragraph.

RELATION EXTRACTION STRUCTURED PREDICTION

12
04 Feb 2019

Learning with Fenchel-Young Losses

8 Jan 2019mblondel/fenchel-young-losses

Over the past decades, numerous loss functions have been been proposed for a variety of supervised learning tasks, including regression, classification, ranking, and more generally structured prediction.

STRUCTURED PREDICTION

142
08 Jan 2019

Deep Structured Prediction with Nonlinear Output Transformations

NeurIPS 2018 cgraber/NLStruct

Deep structured models are widely used for tasks like semantic segmentation, where explicit correlations between variables provide important prior information which generally helps to reduce the data needs of deep nets.

SEMANTIC SEGMENTATION STRUCTURED PREDICTION

8
01 Nov 2018

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

29 Sep 2018faisalml/NucleiSegmentation

However, CNNs require large amounts of labeled histopathology data.

STRUCTURED PREDICTION

53
29 Sep 2018

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge

EMNLP 2018 allenai/propara

Comprehending procedural text, e. g., a paragraph describing photosynthesis, requires modeling actions and the state changes they produce, so that questions about entities at different timepoints can be answered.

READING COMPREHENSION STRUCTURED PREDICTION

68
29 Aug 2018

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

EMNLP 2018 jind11/HSLN-Joint-Sentence-Classification

Prevalent models based on artificial neural network (ANN) for sentence classification often classify sentences in isolation without considering the context in which sentences appear.

BENCHMARKING SENTENCE CLASSIFICATION STRUCTURED PREDICTION

14
19 Aug 2018

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing

NeurIPS 2018 crazydonkey200/neural-symbolic-machines

We present Memory Augmented Policy Optimization (MAPO), a simple and novel way to leverage a memory buffer of promising trajectories to reduce the variance of policy gradient estimate.

COMBINATORIAL OPTIMIZATION PROGRAM SYNTHESIS SEMANTIC PARSING STRUCTURED PREDICTION

238
06 Jul 2018