About

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

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification

6 May 2021

The results show that the text classification models trained under our proposed framework outperform traditional models significantly in terms of fairness, and also slightly in terms of classification performance.

CLASSIFICATION FAIRNESS TEXT CLASSIFICATION

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification

6 May 2021

In this paper, we seek to improve the faithfulness of attention-based explanations for text classification.

TEXT CLASSIFICATION

XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

6 May 2021

The introduction of pretrained cross-lingual language models brought decisive improvements to multilingual NLP tasks.

NATURAL LANGUAGE UNDERSTANDING SENTENCE EMBEDDINGS TEXT CLASSIFICATION

Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review

3 May 2021

We indeed find that the pre-trained BERT model reduces review volume by 30% in TAR workflows simulated on the RCV1-v2 newswire collection.

ACTIVE LEARNING LANGUAGE MODELLING TEXT CLASSIFICATION

Multi-class Text Classification using BERT-based Active Learning

27 Apr 2021

Each transaction is accompanied by a text description provided by the customer to describe the products being picked up and delivered which can be used to classify the transaction.

ACTIVE LEARNING CLASSIFICATION NATURAL LANGUAGE UNDERSTANDING TEXT CLASSIFICATION

Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles

26 Apr 2021

We show that an informational approach to representing the meaning of a text has offered a way to effectively predict the scientific impact of research papers.

CITATION PREDICTION CLASSIFICATION TEXT CLASSIFICATION

APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization

23 Apr 2021

Query categorization is an essential part of query intent understanding in e-commerce search.

TEXT CLASSIFICATION

On a Utilitarian Approach to Privacy Preserving Text Generation

23 Apr 2021

This is because the nearest neighbor to the noised input is likely to be the original input.

TEXT CLASSIFICATION TEXT GENERATION

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

23 Apr 2021

Our analyses reveal a significant drop in performance when testing neural models on out-of-domain data and non-English languages that may be mitigated using diverse training data.

DECEPTION DETECTION TEXT CLASSIFICATION