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Semantic representation and enrichment of information retrieval experimental data
(Springer Berlin Heidelberg, 2016-05-28)
Experimental evaluation carried out in international large-scale campaigns is a fundamental pillar of the scientific and technological advancement of information retrieval (IR) systems. Such evaluation activities produce ...
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)
(Insight Centre for Data Analytics, 2016-06-16)
This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ...
A comparison of emotion annotation approaches for text
(MDPI, 2018-05-11)
While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there ...
Classifying sentential modality in legal language: A use case in financial regulations, acts and directives
(ACM, 2017-06-12)
Texts expressed in legal language are often di cult and time consuming
for lawyers to read through, particularly for the purpose of
identifying relevant deontic modalities (obligations, prohibitions
and permissions). ...
Multimodal multimodel emotion analysis as linked data
(IEEE, 2017-10-23)
The lack of a standard emotion representation model
hinders emotion analysis due to the incompatibility of annotation
formats and models from different sources, tools and annotation
services. This is also a limiting ...
Automatic taxonomy generation: a use-case in the legal domain
(LTC'17, 8th Language & Technology Conference, 2017-11-17)
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information more easily and faster ...
A comparison of emotion annotation schemes and a new annotated data set
(European Languages Resources Association (ELRA), 2018-05-07)
While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed
methodologies, the recognition of more nuanced affect has received less attention, and ...
Multimodal multimodel emotion analysis as linked data
(IEEE, 2018-02-01)
The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor ...
Teanga: a linked data based platform for natural language processing
(Language Resources and Evaluation Conference (LREC 2018), 2018-05-07)
In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or ...
Semi-Supervised Technical Term Tagging With Minimal User Feedback
(2012)
In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ...