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This paper proposes a corpus for development and evaluation of tools and techniques for identifying emerging infectious disease threats in online news text. The corpus can not only be used for Information Extraction, but also for other Natural Language Processing tasks such as text classification. We make use of articles published on the Program for Monitoring Emerging Diseases (PROMED) platform, which provides current information about outbreaks of infectious disease globally. Among the key pieces of information present in the articles is the Uniform Resource Locator (URL) to the online news sources where the outbreaks were originally reported. We detail the procedure followed to build the dataset, which include leveraging the source URLs to retrieve the news reports and subsequently pre-processing the retrieved documents. We also report on experimental results of event extraction on the dataset using the Data Analysis for Information Extraction in any Language(DANIEL) system. DANIEL is a multilingual news surveillance system that leverages unique attributes associated with news reporting repetition and saliency, to extract events. The system has a wide geographical and language coverage, including low-resource languages. In addition, we compare different classification approaches in terms of their ability to differentiate between epidemic related and non-related news articles that constitute the corpus.
Data Types:
  • Document
This paper proposes a corpus for development and evaluation of tools and techniques for identifying emerging infectious disease threats in online news text. The corpus can not only be used for Information Extraction, but also for other Natural Language Processing tasks such as text classification. We make use of articles published on the Program for Monitoring Emerging Diseases (PROMED) platform, which provides current information about outbreaks of infectious disease globally. Among the key pieces of information present in the articles is the Uniform Resource Locator (URL) to the online news sources where the outbreaks were originally reported. We detail the procedure followed to build the dataset, which include leveraging the source URLs to retrieve the news reports and subsequently pre-processing the retrieved documents. We also report on experimental results of event extraction on the dataset using the Data Analysis for Information Extraction in any Language(DANIEL) system. DANIEL is a multilingual news surveillance system that leverages unique attributes associated with news reporting repetition and saliency, to extract events. The system has a wide geographical and language coverage, including low-resource languages. In addition, we compare different classification approaches in terms of their ability to differentiate between epidemic related and non-related news articles that constitute the corpus.
Data Types:
  • Document
ATC-Anno is an annotation tool for the transcription and semantic annotation of air traffic control utterances. It was developed at the Spoken Language Systems (LSV) group at Saarland University. The latest version of the tool can always be found on the LSV GitHub account. If you use the tool in your research, please cite the associated paper: Marc Schulder, Johannah O'Mahony, Yury Bakanouski, Dietrich Klakow (2020). ATC-Anno: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation. In Proceedings of the International Conference on Language Resources and Evaluation (LREC), Marseilles, France.
Data Types:
  • Other
  • Software/Code
The SNSF project A World of Possibilities [WoPoss] aims at tracking the evolution of modal meanings in the diachrony of the Latin language. Passages expressing modal notions of ‘necessity’, ‘possibility’ and ‘volition’ are annotated following a pipeline that combines both automatic and fine-grained manual annotation. Texts are first gathered from different online open access resources to create the initial dataset. Owing to the heterogeneity of formats and encodings, the files are regularized before the implementation of the automatic annotation of linguistic features. They are then uploaded to the annotation platform [INCEpTION] which has been previously customized for the fine-grained manual annotation [Bermúdez Sabel, in press]. This second type of annotation is carried out following the WoPoss guidelines [Dell’Oro, 2019] and it also involves checking the automatic annotation for curation. In a third stage the files are automatically enriched with metadata. In this paper, we focus on the first two phases of the workflow – i.e. the gathering and automatic annotation of the texts and the fine-grained manual annotation –, which have been the core tasks of the WoPoss team in the first year of the project (2019-2020).
Data Types:
  • Document
Abstract For 17 years the estimated number of bots in the virtual world of Second Life (SL) is less than 1% and only about 15% of them are active. They deal with simple matters asked by their creators, e.g. managing a region, a group, working as a language translator, an avatar welcoming other avatars appearing in a given area, a catwalk model, etc. On average, for so many years various artists have tried to create bots in the field artistic, either using available programming libraries that support the Second Life protocol or using objects to create advanced choreographies in which they later embed their bots. In this article, a brief history of the creation of bots on the Internet will be discussed, examples of created artistic bots in Second Life will be given and the operation of the artbot created by me will be presented. People interested the bot have the opportunity to interact with it personally, e.g. by requesting the creation of a given work, with which they could later photograph and put on a joint exhibition. Keywords: second life, bot, artbot, art, net art, generative art, leonardo de artbot
Data Types:
  • Document
Abstract For 17 years the estimated number of bots in the virtual world of Second Life (SL) is less than 1% and only about 15% of them are active. They deal with simple matters asked by their creators, e.g. managing a region, a group, working as a language translator, an avatar welcoming other avatars appearing in a given area, a catwalk model, etc. On average, for so many years various artists have tried to create bots in the field artistic, either using available programming libraries that support the Second Life protocol or using objects to create advanced choreographies in which they later embed their bots. In this article, a brief history of the creation of bots on the Internet will be discussed, examples of created artistic bots in Second Life will be given and the operation of the artbot created by me will be presented. People interested the bot have the opportunity to interact with it personally, e.g. by requesting the creation of a given work, with which they could later photograph and put on a joint exhibition. Keywords: second life, bot, artbot, art, net art, generative art, leonardo de artbot
Data Types:
  • Document
DTSSP and then digested with chymotrypsin and analysed by LC/MS-MS by the University of Cambridge Proteomics Facility. TolC was identified with an emPAI score of 11.1 and AcrA with a score of 10.2. Controls with bovine serum albumin (BSA) were also analysed from the same gel, selecting a band that migrated as a dimer. The crosslinked BSA sample identified 126 peptides that had reacted with the DTSSP, while the control showed 4 false positives. The location of the peptide fragments with mass corresponding to reduced DTSSP were mapped onto the crystal structures of TolC and AcrA and correspond to the equatorial domain and helical hairpin of TolC and the helical hairpin, lipoyl domain and membrane proximal domain of AcrA
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  • Other
  • Document
This article discusses the issues of national spirit and national identity, which are not sufficiently studied in the socio-political and philosophical sciences. Naturally, in modern democratic processes, the spirit of the people is a powerful force, and a dialectical study of the self-consciousness of the people, which is the main driving force of the conceptual knowledge of history. Accordingly, this issue is systematically retrospectively analyzed by Eastern and Western scholars based on the principles of historicity and modernity. The article shows the significance of the pragmatic nature of the national spirit and national identity.
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  • Document
Deliverable 4.1 provides a roadmap of activities for the seven national hubs of the project. These hubs, called Rethinkerspaces, will generate a deep and wide overview of ‘their’ national science communication landscape and act as testbeds and validation mechanisms for the research results of the project. Via their local communities, the Rethinkerspaces will be in charge of creating communities of inquiry to acquire insights into the emerging science communication landscape, map networks, actors, roles and repertoires, contribute to understand sensemaking practices and test a new quality of interactions framework. Besides, they will experiment with new strategies and train other actors in new ways of science communication. The Rethinkerspaces, based in seven European countries (Italy (ZML), the Netherlands (VU), Poland (CSC), Portugal (ITQB NOVA), Serbia (CPN), Sweden (V&A) and the United Kingdom (UWE), will become a learning environment to engage in a collective process of inquiry, experimentation and reflective learning.
Data Types:
  • Other
  • Document
Diversity and complexity of the large surface protein family in the compacted genomes of various Pneumocystis species
Data Types:
  • Other
  • Document
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