Browsing Data Science Institute (Conference Papers) by Author "Handschuh, Siegfried"
Now showing items 1-16 of 16
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The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics
QasemiZadeh, Behrang; Handschuh, Siegfried (2014)This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ... -
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences
Nováček, Vít; Groza, Tudor; Handschuh, Siegfried (Springer Verlag, 2009)Prominent biomedical literature search tools like ScienceDirect, PubMed Central or MEDLINE allow for efficient retrieval of resources based on key words. Due to vast amounts of data available in life sciences, key word ... -
Extending Community Ontology Using Automatically Generated Suggestions
Nováček, Vít; Dabrowski, Maciej; Kruk, Sebastian Ryszard; Handschuh, Siegfried (AAAI Press, 2007)In this paper we propose an ontology (formal knowledge base) creation methodology based on integrating external ontologies into the one developed by a community of the do- main experts. We present the MarcOntX agent, a ... -
Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives
Nováček, Vít; Groza, Tudor; Handschuh, Siegfried (IEEE, 2009)Using the current state of the art in life science publication search (e.g., PubMed), one can efficiently search for resources containing particular key-words or their combinations. It is impossible to search for abstract ... -
KonneXSALT: First Steps Towards a Semantic Claim Federation Infrastructure
Groza, Tudor; Handschuh, Siegfried; Möller, Knud; Decker, Stefan (Springer, 2008)Dissemination, an important phase of scientific research, can be seen as a communication process between scientists. They expose and support their findings, while discussing claims stated in related scientific publications. ... -
Learning from Linked Open Data Usage: Patterns & Metrics
Möller, Knud; Hausenblas, Michael; Cyganiak, Richard; Handschuh, Siegfried (2010)Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ... -
The NEPOMUK Project - On the way to the Social Semantic Desktop
Groza, Tudor; Handschuh, Siegfried; Möller, Knud (2007)This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful ... -
A Protégé Plug-in Development to Support the NEPOMUK Representational Language
Caires, Milena; Scerri, Simon; Handschuh, Siegfried (2007)In this document, we present the challenges faced to develop a plug-in for Protégé that supports requirements for the NEPOMUK1 Representational Language (NRL). NRL is a language built on top of RDF/S and ... -
Random Manhattan Indexing
QasemiZadeh, Behrang; Handschuh, Siegfried (2014)Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ... -
Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction
QasemiZadeh, Behrang; Handschuh, Siegfried (2014)Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ... -
Semantic Versioning Manager: Integrating SemVersion in Protégé
Groza, Tudor; Handschuh, Siegfried (2006)Knowledge domains and their semantic representations via ontologies are typically subject to change in practical applications. Additionally, engineering of ontologies often takes place in distributed settings where multiple ... -
Semantically Enhanced Passage Retrieval for Business Analysis Activity
Thai, VinhTuan; Davis, Brian; O'Riain, Sean; O'Sullivan, David; Handschuh, Siegfried (2008)Business analysis activity often involves the identification and extraction of information from business reports. The unstructured content of business reports poses a challenge to current Business Intelligence technologies. ... -
SemEval-2017 Task 5: Fine-grained sentiment analysis on financial microblogs and news
Cortis, Keith; Freitas, André; Daudert, Tobias; Huerlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian (Association for Computational Linguistics, 2017-08-03)This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour, and truth” theme. This task contains two ... -
SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André (European Language Resources Association, 2018-05-07)This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German, French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ... -
Social sentiment indices powered by X-scores
Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; Handschuh, Siegfried (INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ... -
WWW'18 open challenge: financial opinion mining and question answering
Maia, Macedo; Handschuh, Siegfried; Freitas, André; Davis, Brian; McDermott, Ross; Zarrouk, Manel; Balahur, Alexandra (Association for Computing Machinery, 2018-04-23)The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of many application domains which are dependent on the analysis of unstructured data at scale. The ...