Topic Classification

28 papers with code • 1 benchmarks • 3 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

Active learning in annotating micro-blogs dealing with e-reputation

ungeimer/FLAT-TextTagger 16 Jun 2017

This paper intends to develop a so-called active learning process for automatically annotating French language tweets that deal with the image (i. e., representation, web reputation) of politicians.

Hierarchical Transformers for Long Document Classification

helmy-elrais/RoBERT_Recurrence_over_BERT 23 Oct 2019

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a recently introduced language representation model based upon the transfer learning paradigm.

KLUE: Korean Language Understanding Evaluation

KLUE-benchmark/KLUE 20 May 2021

We introduce Korean Language Understanding Evaluation (KLUE) benchmark.

Cross-Lingual Adaptation using Structural Correspondence Learning

pprett/bolt 4 Aug 2010

From these correspondences a cross-lingual representation is created that enables the transfer of classification knowledge from the source to the target language.

Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting

ghazi-f/SSPIWO 13 Oct 2020

Even though Variational Autoencoders (VAEs) are widely used for semi-supervised learning, the reason why they work remains unclear.

Topic-based Evaluation for Conversational Bots

knights207210/Deep-Learning-for-VUI 11 Jan 2018

Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined.

From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information

xusong19960424/global_cnn CONLL 2018

Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training.

Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization

ht1221/leap-lstm 28 May 2019

Compared to previous models which can also skip words, our model achieves better trade-offs between performance and efficiency.

Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding

JbRemy/Cahan 16 Aug 2019

The Hierarchical Attention Network (HAN) has made great strides, but it suffers a major limitation: at level 1, each sentence is encoded in complete isolation.

An Overview of the Active Gene Annotation Corpus and the BioNLP OST 2019 AGAC Track Tasks

YaoXinZhi/BERT-CRF-for-BioNLP-OST2019-AGAC-Task1 WS 2019

The active gene annotation corpus (AGAC) was developed to support knowledge discovery for drug repurposing.