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We introduce 9 guiding principles to integrate Participatory Design (PD) methods in the development of Natural Language Processing (NLP) systems. The adoption of PD methods by NLP will help to alleviate issues concerning the development of more democratic, fairer, less-biased technologies to process natural language data. This short paper is the outcome of an ongoing dialogue between designers and NLP experts and adopts a non-standard format following previous work by Traum (2000); Bender (2013); Abzianidze and Bos (2019). Every section is a guiding principle. While principles 1–3 illustrate assumptions and methods that inform community-based PD practices, we used two fictional design scenarios (Encinas and Blythe, 2018), which build on top of situations familiar to the authors, to elicit the identification of the other 6. Principles 4–6 describes the impact of PD methods on the design of NLP systems, targeting two critical aspects: data collection & annotation, and the deployment & evaluation. Finally, principles 7–9 guide a new reflexivity of the NLP research with respect to its context, actors and participants, and aims. We hope this guide will offer inspiration and a road-map to develop a new generation of PD-inspired NLP. We introduce 9 guiding principles to integrate Participatory Design (PD) methods in the development of Natural Language Processing (NLP) systems. The adoption of PD methods by NLP will help to alleviate issues concerning the development of more democratic, fairer, less-biased technologies to process natural language data. This short paper is the outcome of an ongoing dialogue between designers and NLP experts and adopts a non-standard format following previous work by Traum (2000); Bender (2013); Abzianidze and Bos (2019). Every section is a guiding principle. While principles 1–3 illustrate assumptions and methods that inform community-based PD practices, we used two fictional design scenarios (Encinas and Blythe, 2018), which build on top of situations familiar to the authors, to elicit the identification of the other 6. Principles 4–6 describes the impact of PD methods on the design of NLP systems, targeting two critical aspects: data collection & annotation, and the deployment & evaluation. Finally, principles 7–9 guide a new reflexivity of the NLP research with respect to its context, actors and participants, and aims. We hope this guide will offer inspiration and a road-map to develop a new generation of PD-inspired NLP

This article provides an overview of the dissemination work carried out in META-NET from 2010 until 2015; we describe its impact on the regional, national and international level, mainly with regard to politics and the funding situation for LT topics. The article documents the initiative's work throughout Europe in order to boost progress and innovation in our field. Peer Reviewed

This paper presents the results of the WMT15 shared tasks, which included a standard news translation task, a metrics task, a tuning task, a task for run-time estimation of machine translation quality, and an automatic post-editing task. This year, 68 machine translation systems from 24 institutions were submitted to the ten translation directions in the standard translation task. An additional 7 anonymized systems were included, and were then evaluated both automatically and manually. The quality estimation task had three subtasks, with a total of 10 teams, submitting 34 entries. The pilot automatic post- editing task had a total of 4 teams, submitting 7 entries.

Cultural heritage institutions are currently rethinking access to their collections to allow the public to interpret and contribute to their collections. In this work, we present the Agora project, an interdisciplinary project in which Web technology and theory of interpretation meet. This we call digital hermeneutics. The Agora project facilitates the understanding of historical events and improves the access to integrated online history collections. In this contribution, we focus on defining and modeling prototypical object-event and event-event relationships that support the interpretation of objects in cultural heritage collections. We present a use case in which we model historical events as well as relations between objects and events for a set of paintings from the Rijksmuseum Amsterdam collection. Our use case shows how Web technology and theory of interpretation meet in the present, and what technological hurdles still need to be taken to fully support digital hermeneutics.

In this article, we present the basic ideas of creating a new information-rich lexical database of Dutch, called Cornetto, that is interconnected with corresponding English synsets and a formal ontology. The Cornetto database is based on two existing electronic dictionaries - the Referentie Bestand Nederlands (RBN) and the Dutch wordnet (DWN). The former holds FrameNet-like information for Dutch and the latter is structured as the English wordnet. In Cornetto, three different collections are maintained for lexical units, synsets and ontology terms. The database interlinks the three collections and aims at clarifying the relations between them. The organization and work processes of the project are briefly introduced. We also describe the design and implementation of new tools prepared for the lexicographic work on the Cornetto project. The tools are based on the DEB development platform and behave as special dictionary clients for the well-known DEBVisDic wordnet editor and browser. © 2008 Springer-Verlag Berlin Heidelberg.