48 citations · 70 across the 6 of their papers we have counts for
8 papers
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Milad Alshomary, Timon Gurcke, Shahbaz Syed +5
Key point analysis is the task of extracting a set of concise and high-level statements from a given collection of arguments, representing the gist of these arguments. This paper p…
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…
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…