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Recent Submissions
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Towards automated information retrieval of process data and knowledge from academic databases
(2021)
Conference lecture
Restricted access - publisher's policyProcess modeling requires both data (chemical reaction yields, kinetic constants, cost estimates, environmental indicators, etc.) and knowledge (operation models and formulations, alternative processes and technologies, ... -
DOTT-HEALTH: Desarrollo de tecnología aplicada a textos para el soporte de diagnosis, prevención y gestión de instituciones de salud
(CEUR-WS.org, 2021)
Conference report
Open AccessLa combinación de datos y pautas dirigidas a pacientes individuales se engloba en los Sistemas de Apoyo a la Decisión Clínica. La adopción del Informe Clínico Electrónico de forma sistemática por parte de los sistemas de ... -
Everything transformers: Recognition, classification and normalisation of professions and family relations
(CEUR-WS.org, 2021)
Conference report
Open AccessThis document describes the system submitted by TALP team for IberLEF 2021’s MEDDOPROF Shared Task. The joint occupation mention identification and family relation classification model is composed of a pre-trained DistilBERT ... -
Improving the extraction of process annotations from text with inter-sentence analysis
(Springer, 2020)
Conference report
Open AccessThe automatic extraction of formal process information from textual descriptions of processes is a challenging problem, but worth exploring, since it enables organizations to align complementary information that talks about ... -
TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations
(CEUR-WS.org, 2020)
Conference report
Open AccessThis article describes the model presented by the TALP Team to IberLEF’s eHealth Knowledge Discovery 2020 shared task[1]. The model iterates over the idea of using a single model for simultaneously identify key-phrases and ... -
Extracting annotations from textual descriptions of processes
(Springer, 2020)
Conference report
Open AccessOrganizations often have textual descriptions as a way to document their main processes. These descriptions are primarily used by the company’s personnel to understand the processes, specially for those ones that cannot ... -
Textual visual semantic dataset for text spotting
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessText Spotting in the wild consists of detecting and recognizing text appearing in images (e.g. signboards, traffic signals or brands in clothing or objects). This is a challenging problem due to the complexity of the context ... -
Enhancing text spotting with a language model and visual context information
(IOS Press, 2018)
Conference report
Open AccessThis paper addresses the problem of detecting and recognizing text in images acquired ‘in the wild’. This is a severely under-constrained problem which needs to tackle a number of challenges including large occlusions, ... -
Semantic relatedness based re-ranker for text spotting
(2019)
Conference lecture
Open AccessApplications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based ... -
Visual re-ranking with natural language understanding for text spotting
(2018)
Conference lecture
Open AccessMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text. In this paper, we tackle this problem from natural language processing perspective to ... -
From process models to chatbots
(Springer, 2019)
Conference report
Open AccessThe effect of digital transformation in organizations needs to go beyond automation, so that human capabilities are also augmented. A possibility in this direction is to make formal representations of processes more ... -
Approximate computation of alignments of business processes through relaxation labelling
(Springer, 2019)
Conference report
Open AccessA fundamental problem in conformance checking is aligning event data with process models. Unfortunately, existing techniques for this task are either complex, or can only be applicable to restricted classes of models. This ...
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