Annotation Schema Oriented Validation for Dependency Parsing Evaluation

Proceedings of the Ninth International Workshop on Treebanks and Linguistic Theories. Editors: Markus Dickinson, Kaili Müürisep and Marco Passarotti. NEALT Proceedings Series, Vol. 9 (2010), 19-30. © 2010 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/15891

Parental engagement and early interactions with preterm infants during the stay in the Neonatal Intensive Care Unit: protocol of a mixed-method and longitudinal study

Introduction: The preterm infants\u2019 developmental outcomes depend on both biological and environmental risk factors. The environmental factors include prolonged parental separation, less exposure to early mother/father-infant interactions and the parents\u2019 ability to respond to the trauma of premature birth. In the case of premature birth, the father\u2019s ability to take an active part in the care of the infant from the start is essential. The parents\u2019 emotional closeness to the preterm infant hospitalized in the Neonatal Intensive Care Unit (NICU) \u2013through touch, affectionate talk, visual contact and facial affect\u2013may be crucial to the well-being of the newborn, the development of mutual regulation, the establishment of a functioning parent-infant affective relationship, and the parents\u2019 confidence in their ability to provide care for their baby. Methods and analysis: This is a mixed-method, observational and longitudinal study. The methodological strategy will include: (1) ethnographic observation in a level III NICU located in Northern Italy for a duration of 18 months; (2) 3+3 min video recordings of mother-infant and father-infant interaction in the NICU; (3) a semi-structured interview with fathers during the infants\u2019 hospital stay; (4) 3+3 min video recordings of mother-infant and father-infant face-to-face interaction in the laboratory at 4 months of corrected age; (5) a self-report questionnaire for parents on depression and a questionnaire on the quality of the couple relationship at the approximate times of the video recording sessions. Ethics and dissemination: The study protocol was approved by the Ethical Committee for Clinical Trials of the Verona and Rovigo Provinces. Results aim to be published in international peer-reviewed journals, and presented at relevant national and international conferences. This research project will develop research relevant to (A) the quality and modalities of maternal and paternal communication with the preterm infant in the NICU; (B) the influence of maternal/paternal social stimulation on the infant behavioral states; (C) the quality and modalities of paternal support to the partner, and possible influences on the mother-infant relationship. Strengths and limitations of this study: - This is one of a small number of studies focused on maternal/paternal communicative behaviors addressed spontaneously to the preterm infant hospitalized in the NICU, and their effects on the infant\u2019s behavioral states. - Results from this project will increase the very scant knowledge about the presence of early interactive contingencies between mother/father and the preterm infant in the NICU, and their possible predictive role of positive outcomes in mother-infant and father-infant relationship. - Findings will be limited to the experiences of Italian parents

Requirements for Information Extraction for Knowledge Management

Knowledge Management (KM) systems inherently suffer from the knowledge acquisition bottleneck - the difficulty of modeling and formalizing knowledge relevant for specific domains. A potential solution to this problem is Information Extraction (IE) technology. However, IE was originally developed for database population and there is a mismatch between what is required to successfully perform KM and what current IE technology provides. In this paper we begin to address this issue by outlining requirements for IE based KM

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey

Objectives: This survey aims to provide an overview of the current state of biomedical and clinical Natural Language Processing (NLP) research and practice in Languages other than English (LoE). We pay special attention to data resources, language models, and popular NLP downstream tasks. Methods: We explore the literature on clinical and biomedical NLP from the years 2020-2022, focusing on the challenges of multilinguality and LoE. We query online databases and manually select relevant publications. We also use recent NLP review papers to identify the possible information lacunae. Results: Our work confirms the recent trend towards the use of transformer-based language models for a variety of NLP tasks in medical domains. In addition, there has been an increase in the availability of annotated datasets for clinical NLP in LoE, particularly in European languages such as Spanish, German and French. Common NLP tasks addressed in medical NLP research in LoE include information extraction, named entity recognition, normalization, linking, and negation detection. However, there is still a need for the development of annotated datasets and models specifically tailored to the unique characteristics and challenges of medical text in some of these languages, especially low-resources ones. Lastly, this survey highlights the progress of medical NLP in LoE, and helps at identifying opportunities for future research and development in this field

QAKiS @ QALD-2

International audienceWe present QAKiS, a system for Question Answering over linked data (in particular, DBpedia). The problem of question interpretation is addressed as the automatic identification of the set of relevant relations between entities in the natural language input question, matched against a repository of automatically collected relational patterns (i.e. the WikiFramework repository). Such patterns represent possible lexical-izations of ontological relations, and are associated to a SPARQL query derived from the linked data relational patterns. Wikipedia is used as the source of free text for the automatic extraction of the relational patterns, and DBpedia as the linked data resource to provide relational patterns and to be queried using a natural language interface