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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). ...
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 ...
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
(IEEE, 2018-01-25)
Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...
Taxonomy extraction for customer service knowledge base construction
(Springer, 2019-11-04)
Customer service agents play an important role in bridging the gap between customers vocabulary and business terms. In a scenario where organisations are moving into semi-automatic customer service, se- mantic technologies ...
A decade of Semantic Web research through the lenses of a mixed methods approach
(IOS Press, 2019-06-20)
The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...
A term extraction approach to survey analysis in health care
(European Language Resources Association, 2020-05)
The voice of the customer has for a long time been a key focus of businesses in all domains. It has received a lot of attention from the research community in Natural Language Processing (NLP) resulting in many approaches ...
Intent classification by the use of automatically generated knowledge graphs
(MDPI, 2023-05-12)
Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers¿ goals. Although intent classification performs well in general settings, domain-specific user goals can ...