From giant despair to a new heaven: The early years of automatic collation

Nury, Elisa; Spadini, Elena

doi:10.1515/itit-2019-0047

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…This method of detection of minuscule differ ences in the letterpress material was devised in the late 1940's by Charlton Hinman and applied in his optomechanical comparator used for textual collation (Nury & Spadini, 2020). Though algorithms of automated text collation have made considerable progress in recent years, human eye has yet to be replaced by a software when it comes to search for differences in the graphic material, at least on a more general level than pixelbypixel comparison.…”

Section: Methods and Samplementioning

confidence: 99%

Maps fromAtlas Silesiae(1750): a listing of plates and states

Paprotny¹

2022

Polish Cartographical Review

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The paper sets out to attempt identification of all known plates used to print maps included in the Atlas Silesiae and of all identified states of these maps. While the early states of the Atlas maps are relatively well studied (though far not in every detail), printings pulled from the same though deeply reworked plates, published in Nurnberg in the first two decades of the 19th c., are not always recognised as the late states of the same maps. For each of twenty maps from Atlas Silesiae listed are all identified states together with the most distinctive differences between them. Eleven copies of Atlas Silesiae were also examined in search for possible regularities of their composition in terms of states of the included maps. Public collections with exemplary copies of the Atlas maps in each state identified in the paper are listed in the Appendix.

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Section: Methods and Samplementioning

confidence: 99%

Maps fromAtlas Silesiae(1750): a listing of plates and states

Paprotny¹

2022

Polish Cartographical Review

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LERA—an interactive platform for synoptical representations of multiple text witnesses

Pöckelmann

Medek

Ritter

et al. 2022

Digital Scholarship in the Humanities

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In the humanities, text comparison is essential for scholarly editing the traditions of a text with its different witnesses under study. For the computer-aided creation of a critical apparatus, there have been established approaches and tools for many years. However, they mainly focus on subsentences or sentences. An efficient and easy-to-use automatic comparison of entire chapters or books still represents a research desideratum. The Locate, Explore, Retrace and Apprehend complex text variants (LERA) working environment presented here solves this issue. It is based on a two-stage collation approach: an efficient, fully automatic alignment of text segments, which can be paragraphs, subparagraphs or sentences, with interactive post-processing options, followed by the detailed comparison at segment level. Because aligning text segments, such as paragraphs, for more than two text witnesses is algorithmically challenging, we discuss the heuristics we developed in more detail. LERA combines the entire process of document management, tokenization/segmentation, normalization, alignment, and visualization with interactive control options and exploratory tools. It has already been and is being successfully applied in several Digital Humanities projects of different languages, e.g. for Arabic, French, Hebrew as well as German and English texts.

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Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review

Kuznetsov

Buchmann

Eichler

et al. 2022

Computational Linguistics

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Peer review is a key component of the publishing process in most fields of science. The increasing submission rates put a strain on reviewing quality and efficiency, motivating the development of applications to support the reviewing and editorial work. While existing NLP studies focus on the analysis of individual texts, editorial assistance often requires modeling interactions between pairs of texts—yet general frameworks and datasets to support this scenario are missing. Relationships between texts are the core object of the intertextuality theory—a family of approaches in literary studies not yet operationalized in NLP. Inspired by prior theoretical work, we propose the first intertextual model of text-based collaboration, which encompasses three major phenomena that make up a full iteration of the review–revise–and–resubmit cycle: pragmatic tagging, linking and long-document version alignment. While peer review is used across the fields of science and publication formats, existing datasets solely focus on conference-style review in computer science. Addressing this, we instantiate our proposed model in the first annotated multi-domain corpus in journal-style post-publication open peer review, and provide detailed insights into the practical aspects of intertextual annotation. Our resource is a major step towards multi-domain, fine-grained applications of NLP in editorial support for peer review, and our intertextual framework paves the path for general-purpose modeling of text-based collaboration. We make our corpus, detailed annotation guidelines and accompanying code publicly available.

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From giant despair to a new heaven: The early years of automatic collation

Cited by 5 publications

References 23 publications

Maps fromAtlas Silesiae(1750): a listing of plates and states

Maps fromAtlas Silesiae(1750): a listing of plates and states

LERA—an interactive platform for synoptical representations of multiple text witnesses

Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review

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