527 citations · 605 across the 12 of their papers we have counts for
4 papers · 2 filters
Predicting Disease-Gene Associations using Cross-Document Graph-based Features
Hendrik ter Horst, Matthias Hartung, Roman Klinger +2
In the context of personalized medicine, text mining methods pose an interesting option for identifying disease-gene associations, as they can be used to generate novel links betwe…
Improving Opinion-Target Extraction with Character-Level Word Embeddings
Soufian Jebbara, Philipp Cimiano
Fine-grained sentiment analysis is receiving increasing attention in recent years. Extracting opinion target expressions (OTE) in reviews is often an important step in fine-grained…
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
Soufian Jebbara, Philipp Cimiano
The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed…
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
Soufian Jebbara, Philipp Cimiano
Sentiment analysis can be regarded as a relation extraction problem in which the sentiment of some opinion holder towards a certain aspect of a product, theme or event needs to be…