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Although citizens agree on the importance of objective scientific information, yet they tend to avoid scientific literature due to access restrictions, its complex language or their lack of prior background knowledge. Instead, they rely on shallow information on the web or social media often published for commercial or political incentives rather than the correctness and informational value. This paper presents an overview of the CLEF 2022 SimpleText track addressing the challenges of text simplification approaches in the context of promoting scientific information access, by providing appropriate data and benchmarks, and creating a community of IR and NLP researchers working together to resolve one of the greatest challenges of today. The track provides a corpus of scientific literature abstracts and popular science requests. It features three tasks. First, content selection (what is in, or out?) challenges systems to select passages to include in a simplified summary in response to a query. Second, complexity spotting (what is unclear?) given a passage and a query, aims to rank terms/concepts that are required to be explained for understanding this passage (definitions, context, applications). Third, text simplification (rewrite this!) given a query, asks to simplify passages from scientific abstracts while preserving the main content.

The Web and social media have become the main source of information for citizens, with the risk that users rely on shallow information in sources prioritizing commercial or political incentives rather than the correctness and informational value. Non-experts tend to avoid scientific literature due to its complex language or their lack of prior background knowledge. Text simplification promises to remove some of these barriers. The CLEF 2022 SimpleText track addresses the challenges of text simplification approaches in the context of promoting scientific information access, by providing appropriate data and benchmarks, and creating a community of NLP and IR researchers working together to resolve one of the greatest challenges of today. The track will use a corpus of scientific literature abstracts and popular science requests. It features three tasks. First, content selection (what is in, or out?) challenges systems to select passages to include in a simplified summary in response to a query. Second, complexity spotting (what is unclear?) given a passage and a query, aims to rank terms/concepts that are required to be explained for understanding this passage (definitions, context, applications). Third, text simplification (rewrite this!) given a query, asks to simplify passages from scientific abstracts while preserving the main content.

This paper presents an overview of the CLEF 2022 SimpleText Task 3 on query biased simplification of scientific text. After discussing the motivation and general task setup, we detail the exact test collection, consisting of a train of sentences from scientific abstracts paired with human reference simplified sentences, and extensive test corpus of sentences with detailed annotations of lexical and syntactic complexity. We present a detailed analysis of the submitted simplified sentences, and the resulting evaluation scores.

Children have the right to express their views in all matters affecting them, and to have them considered and given due weight. Children’s participation is most meaningful when rooted in children’s everyday lives, and its promotion should be encouraged from the youngest ages, especially in early childhood education and care (ecec). In this paper we apply the Lundy model of participation, widely used in policy, practice and professional development initiatives, to the ecec context. Based on examples provided by ecec professionals from Belgium, Greece, Poland, and Portugal, we illustrate the implementation of the elements of space, voice, audience and influence, proposed by the Lundy model. We also discuss the interrelations among these elements and the need for organisational and contextual support to enhance children’s participation. This paper adds to existing literature, highlighting theoretical and practical issues associated with the promotion of children’s right to participate in ecec.

"In most species, male sexual behaviour involves a complicated sequence of events that culminates with the delivery of sperm and fertilisation of the female egg. However, despite decades of research, very little is still known regarding the mechanics controlling this behaviour. In this thesis, by using mice as our model system, we aimed to understand the neuronal mechanisms underlying male sexual behaviour, in particular the involvement of the midbrain dopaminergic neurons.(...)"