Papers Topic Classification
“Topic Classification” 태그가 달린 논문 186편 · 필터 해제
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models
Text classification is the most basic natural language processing task. It has a wide range of applications ranging from sentiment analysis to topic classification. Recently, deep learning approaches based on CNN, LSTM, …
ClassificationGeneral ClassificationLanguage ModellingSentence+4Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Humans have been shown to give contrastive explanations, which explain why an observed event happened rather than some other counterfactual event (the contrast case). Despite the influential role that contrastivity plays…
counterfactualMultiple-choiceQuestion AnsweringSentiment Analysis+2Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Language exhibits structure at different scales, ranging from subwords to words, sentences, paragraphs, and documents. To what extent do deep models capture information at these scales, and can we force them to better ca…
Part-Of-Speech TaggingTopic ClassificationControlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
Even though Variational Autoencoders (VAEs) are widely used for semi-supervised learning, the reason why they work remains unclear. In fact, the addition of the unsupervised objective is most often vaguely described as a…
Sentiment AnalysisTopic ClassificationTransfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Multilingual transformer models like mBERT and XLM-RoBERTa have obtained great improvements for many NLP tasks on a variety of languages. However, recent works also showed that results from high-resource languages could …
NERTopic ClassificationTransfer LearningRevisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
In this paper, we study bidirectional LSTM network for the task of text classification using both supervised and semi-supervised approaches. Several prior works have suggested that either complex pretraining schemes usin…
ClassificationGeneral ClassificationLanguage ModelingLanguage Modelling+5A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
The authors compared oversampling methods for the problem of multi-class topic classification. The SMOTE algorithm underlies one of the most popular oversampling methods. It consists in choosing two examples of a minorit…
ClassificationGeneral ClassificationMulti Class Text Classificationtext-classification+2Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge
Emotion recognition has become a major problem in computer vision in recent years that made a lot of effort by researchers to overcome the difficulties in this task. In the field of affective computing, emotion recogniti…
ClassificationEmotion Recognitionfeature selectionGeneral Classification+1AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature
Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with thousands of cases being reported each day. Numerous scientific articles are being published on the disease raising the need for a service which …
ArticlesDocument RankingPassage RankingQuestion Answering+2ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Identifying the topic (domain) of each user's utterance in open-domain conversational systems is a crucial step for all subsequent language understanding and response tasks. In particular, for complex domains, an utteran…
ClassificationGeneral ClassificationTopic Classification2kenize: Tying Subword Sequences for Chinese Script Conversion
Simplified Chinese to Traditional Chinese character conversion is a common preprocessing step in Chinese NLP. Despite this, current approaches have poor performance because they do not take into account that a simplified…
General ClassificationTopic ClassificationIs Language Modeling Enough? Evaluating Effective Embedding Combinations
Universal embeddings, such as BERT or ELMo, are useful for a broad set of natural language processing tasks like text classification or sentiment analysis. Moreover, specialized embeddings also exist for tasks like topic…
Entity DisambiguationGeneral ClassificationLanguage ModelingLanguage Modelling+5Give your Text Representation Models some Love: the Case for Basque
Word embeddings and pre-trained language models allow to build rich representations of text and have enabled improvements across most NLP tasks. Unfortunately they are very expensive to train, and many small companies an…
General ClassificationNERPOSPOS Tagging+4Low resource language dataset creation, curation and classification: Setswana and Sepedi -- Extended Abstract
The recent advances in Natural Language Processing have only been a boon for well represented languages, negating research in lesser known global languages. This is in part due to the availability of curated data and res…
Data AugmentationGeneral ClassificationTopic ClassificationOntology Extraction and Usage in the Scholarly Knowledge Domain
Ontologies of research areas have been proven to be useful in many application for analysing and making sense of scholarly data. In this chapter, we present the Computer Science Ontology (CSO), which is the largest ontol…
General ClassificationTopic ClassificationInvestigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi
The recent advances in Natural Language Processing have been a boon for well-represented languages in terms of available curated data and research resources. One of the challenges for low-resourced languages is clear gui…
ClassificationData AugmentationGeneral ClassificationTopic ClassificationSequence Labeling Approach to the Task of Sentence Boundary Detection
One of the keys to enable chatbots to communicate with human in a more natural way is the ability to handle long and complex user's utterances. In order to achieve this goal, we propose to integrate the Sentence Boundary…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Boundary DetectionChatbot+11Simultaneous Identification of Tweet Purpose and Position
Tweet classification has attracted considerable attention recently. Most of the existing work on tweet classification focuses on topic classification, which classifies tweets into several predefined categories, and senti…
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+4Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases
We present the Global Health Monitor, an online Web-based system for detecting and mapping infectious disease outbreaks that appear in news stories. The system analyzes English news stories from news feed providers, clas…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus
Student's feedback is an important source of collecting students' opinions to improve the quality of training activities. Implementing sentiment analysis into student feedback data, we can determine sentiments polarities…
Deep LearningGeneral ClassificationSentiment AnalysisSentiment Classification+1