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Multi-Label Classification

62 papers with code ยท Methodology

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Interaction Matching for Long-Tail Multi-Label Classification

18 May 2020

We present an elegant and effective approach for addressing limitations in existing multi-label classification models by incorporating interaction matching, a concept shown to be useful for ad-hoc search result ranking.

MULTI-LABEL CLASSIFICATION

A Robust Experimental Evaluation of Automated Multi-Label Classification Methods

16 May 2020

In this work, we provide a general comparison of five automated multi-label classification methods -- two evolutionary methods, one Bayesian optimization method, one random search and one greedy search -- on 14 datasets and three designed search spaces.

AUTOML MULTI-LABEL CLASSIFICATION

Generating SOAP Notes from Doctor-Patient Conversations

4 May 2020

In this paper, we present the first study to evaluate complete pipelines for leveraging these transcripts to train machine learning model to generate these notes.

MULTI-LABEL CLASSIFICATION

Investigating Class-level Difficulty Factors in Multi-label Classification Problems

1 May 2020

This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time.

MULTI-LABEL CLASSIFICATION

Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures

30 Apr 2020

In this paper we investigate whether the various linguistic features from World Atlas of Language Structures (WALS) can be reliably inferred from multi-lingual text.

MULTI-LABEL CLASSIFICATION

Entity Type Prediction in Knowledge Graphs using Embeddings

28 Apr 2020

Open Knowledge Graphs (such as DBpedia, Wikidata, YAGO) have been recognized as the backbone of diverse applications in the field of data mining and information retrieval.

ENTITY TYPING INFORMATION RETRIEVAL KNOWLEDGE GRAPHS MULTI-LABEL CLASSIFICATION TYPE PREDICTION

Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling

27 Apr 2020

In recent years, there has been an increasing interest in the application of Artificial Intelligence - and especially Machine Learning - to the field of Sustainable Development (SD).

MULTI-LABEL CLASSIFICATION

GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task

27 Apr 2020

Multi-label networks with branches are proved to perform well in both accuracy and speed, but lacks flexibility in providing dynamic extension onto new labels due to the low efficiency of re-work on annotating and training.

MULTI-LABEL CLASSIFICATION

Multi-label Stream Classification with Self-Organizing Maps

20 Apr 2020

With the lack of stationarity in the distribution of data streams, new algorithms are needed to online adapt to such changes (concept drift).

MULTI-LABEL CLASSIFICATION MULTI-LABEL LEARNING