Linked Books: un indice citazionale per la storia di Venezia

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This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated to the handwritten text recognition (HTR) of historical sources, typically tabular records, such as censuses. This dataset is based on a sample of 83 pages ...

This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 mi ...

Investigating the intangible nature of a cultural domain can take multiple forms, addressing for example the aesthetic, epistemic and social dimensions of its phenomenology. The context of Southern Chinese martial arts is of particular significance as it c ...

Term extraction is an information extraction task at the root of knowledge discovery platforms. Developing term extractors that are able to generalize across very diverse and potentially highly technical domains is challenging, as annotations for domains r ...

At the beginning of the 19th century, the Napoleonic administration introduced a new standardised description system to give an objective account of the form and functions of the city of Venice. The cadastre, deployed on a European scale, was offering for ...

Machine Translation (MT) has made considerable progress in the past two decades, particularly after the introduction of neural network models (NMT). During this time, the research community has mostly focused on modeling and evaluating MT systems at the se ...

The largest collections of art historical images are not found online but are safeguarded by museums and other cultural institutions in photographic libraries. These collections can encompass millions of reproductions of paintings, drawings, engravings and ...

Academic affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, and ...

This paper presents a methodology to analyze linguistic changes in a given textual corpus allowing to overcome two common problems related to corpus linguistics studies. One of these issues is the monotonic increase of the corpus size with time, and the ot ...

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

Traditional cell assays report on the average results of a cell population. However, a wide range of new tools are being developed for a fundamental understanding of single cell's functionality. Nonetheless, the current tools are either limited in their th ...

The study of newspaper layout evolution through historical corpora has been addressed by diverse qualitative and quantitative methods in the past few years. The recent availability of large corpora of newspapers is now making the quantitative analysis of l ...

"Teaching analytics" is the application of learning analytics techniques to understand teaching and learning processes, and eventually enable supportive interventions. However, in the case of (often, half-improvised) teaching in face-to-face classrooms, su ...

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messagi ...

As business conditions change rapidly, the need for integrating business and technical systems calls for novel ICT frameworks and solutions to remain concurrent in highly competitive markets. A number of problems and issues arise in this regard. In this pa ...

While artificial intelligence is successful in many applications that cover specific domains, for many commonsense problems there is still a large gap with human performance. Automated sentiment analysis is a typical example: while there are techniques tha ...

Massive digitization of archival material, coupled with automatic document processing techniques and data visualisation tools offers great opportunities for reconstructing and exploring the past. Unprecedented wealth of historical data (e.g. names of perso ...

This dissertation explores techniques that synthesize and generate program fragments and test inputs. The main goal of these techniques is to improve and support automation in program synthesis and test input generation. This is important because performin ...

Used in nearly every organization, employment interviews are a ubiquitous process where job applicants are evaluated by an employer for an open position. Consisting of an interpersonal interaction between at least one interviewer and a job applicant, they ...

The advent of the Web reshaped the way in which humans memorize information, arguably unlike any other technological advance of the last decades. Rather than remembering the information itself, people are primed to find the needed information through Web s ...

Linked Books: un indice citazionale per la storia di Venezia

Chat with Graph Search

Lausanne Historical Censuses Dataset HTR 35k

1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

The Facets of Intangible Heritage in Southern Chinese Martial Arts: Applying a Knowledge-Driven Cultural Contact Detection Approach

Unsupervised Term Extraction for Highly Technical Domains

Une approche computationnelle du cadastre napoléonien de Venise

Discourse Phenomena in Machine Translation

Extracting And Aligning Artist Names in Digitized Art Historical Archives

Mapping affinities: visualizing academic practice through collaboration

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Template Induction over Unstructured Email Corpora

Microfluidic and Electrokinetic Manipulation of Single Cells

Layout Analysis on Newspaper Archives

Teaching Analytics: Towards Automatic Extraction of Orchestration Graphs Using Wearable Sensors

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Current trends on ICT technologies for enterprise information systems

Acquiring Broad Commonsense Knowledge for Sentiment Analysis Using Human Computation

A Method for Record Linkage with Sparse Historical Data

Search Techniques for Code Generation

Computational Analysis Of Behavior In Employment Interviews And Video Resumes

MEM0R1ES: Memory-based Information Systems