48 citations · 70 across the 4 of their papers we have counts for
6 papers
Zero-Shot Cross-Lingual Opinion Target Extraction
Soufian Jebbara, Philipp Cimiano
Aspect-based sentiment analysis involves the recognition of so called opinion target expressions (OTEs). To automatically extract OTEs, supervised learning algorithms are usually e…
Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases
Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano
The task of answering natural language questions over knowledge bases has received wide attention in recent years. Various deep learning architectures have been proposed for this t…
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano
The task of answering natural language questions over RDF data has received wide interest in recent years, in particular in the context of the series of QALD benchmarks. The task c…
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…