Leveraging Linguistic Resources for Improving Neural Text Classification

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Australasian Language Technology Association Workshop

• Publication date

  Unknown publication date

• Fields of study

  Linguistics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Opinion Mining and Sentiment Analysis

  2018cited by this paper
• Deep Unordered Composition Rivals Syntactic Methods for Text Classification

  2015influential reference
• Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

  2015cited by this paper
• Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans

  2015cited by this paper
• Dropout: a simple way to prevent neural networks from overfitting

  2014influential reference
• A Convolutional Neural Network for Modelling Sentences

  2014cited by this paper
• GloVe: Global Vectors for Word Representation

  2014cited by this paper
• Distributed Representations of Sentences and Documents

  2014cited by this paper
• Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

  2013cited by this paper
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• Parsing with Compositional Vector Grammars

  2013cited by this paper
• Learning Word Vectors for Sentiment Analysis

  2011cited by this paper
• Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions

  2011cited by this paper
• Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

  2011cited by this paper
• Recurrent neural network based language model

  2010cited by this paper
• The Unified Medical Language System (UMLS): integrating biomedical terminology

  2004cited by this paper
• Ontologies improve text document clustering

  2003cited by this paper
• The global k-means clustering algorithm

  2003cited by this paper
• Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

  2001cited by this paper
• Review: From Data to Knowledge through Concept-oriented Terminologies: Experience with the Medical Entities Dictionary

  2000cited by this paper
• Long Short-Term Memory

  1997cited by this paper
• SNOMED RT: a reference terminology for health care

  1997cited by this paper
• Knowledge sources for Natural Language Processing.

  1996cited by this paper
• Coordinating Taxonomies: Key to Re-Usable Concept Representations

  1995cited by this paper
• WordNet: A Lexical Database for English

  1995influential reference
• NewsWeeder: Learning to Filter Netnews

  1995cited by this paper

• SKEDS - An external knowledge supported logistic regression approach for document-level sentiment classification

  2024cites this paper
• Categorization of Textual Data: Harnessing Recurrent Neural Networks and Concept Net for Extensive Topic Mining

  2024cites this paper
• Leveraging Natural Language Processing and Clinical Notes for Dementia Detection

  2023cites this paper
• A Survey of Relevant Text Mining Technology

  2022cites this paper
• A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network

  2022influential citation
• LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories

  2021cites this paper
• A fast detector generation algorithm for negative selection

  2021cites this paper
• Feature Extraction In Gene Expression Dataset Using Multilayer Perceptron

  2021cites this paper
• How to Rank Answers in Text Mining

  2019cites this paper
• A population‐based analysis of attributable hospitalisation costs of invasive fungal diseases in haematological malignancy patients using data linkage of state‐wide registry and costing databases: 2009‐2015

  2019cites this paper
• A Robust Hybrid Approach for Textual Document Classification

  2019influential citation
• Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning

  2019cites this paper