Attribute Extraction
11 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Attribute Extraction
| Trend | Dataset | Best Model | Paper | Code | Compare |
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SWDE
Most implemented papers
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
Unfortunately, it can be difficult to apply joint optimization to DCNNs when training data is imbalanced, and re-balancing multi-label data directly is structurally infeasible, since adding/removing data to balance one label will change the sampling of the other labels.
Simplified DOM Trees for Transferable Attribute Extraction from the Web
google-research/google-research
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There has been a steady need to precisely extract structured knowledge from the web (i. e. HTML documents).
Multimodal Attribute Extraction
wavewangyue/mae
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The broad goal of information extraction is to derive structured information from unstructured data.
Getting To Know You: User Attribute Extraction from Dialogues
jasonwu0731/GettingToKnowYou
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LREC 2020
User attributes provide rich and useful information for user understanding, yet structured and easy-to-use attributes are often sparsely populated.
Extracting Outcomes from Appellate Decisions in US State Courts
Predicting the outcome of a legal process has recently gained considerable research attention.
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
Attribute value extraction refers to the task of identifying values of an attribute of interest from product information.
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
zjunlp/deepke
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We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base population.
DOM-LM: Learning Generalizable Representations for HTML Documents
We argue that the text and HTML structure together convey important semantics of the content and therefore warrant a special treatment for their representation learning.
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text
syuoni/eznlp
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The resulted annotated corpus includes 1, 200 full medical records (or 18, 039 broken-down documents), and achieves inter-annotator agreements (IAAs) of 94. 53%, 73. 73% and 91. 98% F 1 scores for the three tasks.
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
arnab-api/romba
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Given a subject-relation query, we study how the model aggregates information about the subject and relation to predict the correct attribute.
