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Text Classification

198 papers with code ยท Natural Language Processing

Text classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

( Image credit: Text Classification Algorithms: A Survey )

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Latest papers without code

Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference

21 Jan 2020

Some NLP tasks can be solved in a fully unsupervised fashion by providing a pretrained language model with "task descriptions" in natural language (e. g., Radford et al., 2019).

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION

Deceptive AI Explanations: Creation and Detection

21 Jan 2020

Artificial intelligence comes with great opportunities and but also great risks.

TEXT CLASSIFICATION

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

13 Jan 2020

Next, we develop a DistanceNet model which uses these distance measures, or a mixture of these distance measures, as an additional loss function to be minimized jointly with the task's loss function, so as to achieve better unsupervised domain adaptation.

SENTIMENT ANALYSIS TEXT CLASSIFICATION UNSUPERVISED DOMAIN ADAPTATION

Building Hierarchical Interpretations in Natural Language via Feature Interaction Detection

ICLR 2020

Existing explanation generation methods usually provide important features by scoring their individual contributions to the model prediction and ignore the interactions between features, which eventually provide a bag-of-words representation as explanation.

TEXT CLASSIFICATION

Generalized Zero-shot ICD Coding

ICLR 2020

The International Classification of Diseases (ICD) is a list of classification codes for the diagnoses.

MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION ZERO-SHOT LEARNING

BERT for Sequence-to-Sequence Milti-Label Text Classification

ICLR 2020

We study the BERT language representation model and the sequence generation model with BERT encoder for multi-label text classification task.

MULTI-LABEL CLASSIFICATION MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION

Incorporating BERT into Neural Machine Translation

ICLR 2020

The recently proposed BERT~\citep{devlin2018bert} has shown great power on a variety of natural language understanding tasks, such as text classification, reading comprehension, etc.

READING COMPREHENSION TEXT CLASSIFICATION UNSUPERVISED MACHINE TRANSLATION

Anchor & Transform: Learning Sparse Representations of Discrete Objects

ICLR 2020

Learning continuous representations of discrete objects such as text, users, and items lies at the heart of many applications including text and user modeling.

LANGUAGE MODELLING TEXT CLASSIFICATION

EDUCE: Explaining model Decision through Unsupervised Concepts Extraction

ICLR 2020

Therefore, we propose a new self-interpretable model that performs output prediction and simultaneously provides an explanation in terms of the presence of particular concepts in the input.

SENTIMENT ANALYSIS TEXT CLASSIFICATION

Unsupervised Data Augmentation for Consistency Training

ICLR 2020

In this work, we present a new perspective on how to effectively noise unlabeled examples and argue that the quality of noising, specifically those produced by advanced data augmentation methods, plays a crucial role in semi-supervised learning.

DATA AUGMENTATION TEXT CLASSIFICATION TRANSFER LEARNING