Big Data at Scale for Digital Humanities

Sun, Yiming; Peng, Zong–Gen; Plale, Beth; Todd, Aaron; Auvil, Loretta; Willis, Craig; Zeng, Jiaan; Pathirage, Milinda; Liyanage, Samitha; Ruan, Guangchen; Downie, J. Stephen

doi:10.4018/978-1-4666-4699-5.ch011

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…In order to comply with non‐consumptive use, we created a dataset from random sentences across random pages in our texts. We recognize that this data is far from representative of the entirety of the whole volumes and publish this dataset in order to comply with legal precedent of non‐consumptivity established in the Authors Guild v. Google legal settlement (Kowalczyk, et al, 2014).…”

Section: Limitationsmentioning

confidence: 99%

Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American Literature

Parulian,

Dubnicek,

Evans

et al. 2023

Proceedings of the Association for Information Science and Tech

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Named Entity Recognition (NER), the automated identification and tagging of entities in text, is a popular natural language processing task, and has the power to transform restricted data into open datasets of entities for further research. This project benchmarks four NER models–Stanford NER, BookNLP, spaCy‐trf and RoBERTa–to identify the most accurate approach and generate an open‐access, gold‐standard dataset of human annotated entities. To meet a real‐world use case, we benchmark these models on a sample dataset of sentences from Native American authored literature, identifying edge cases and areas of improvement for future NER work.

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Section: Limitationsmentioning

confidence: 99%

Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American Literature

Parulian,

Dubnicek,

Evans

et al. 2023

Proceedings of the Association for Information Science and Tech

Self Cite

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“…The HTRC was created as a research arm of the HathiTrust consortium to consider tools for research for scholars who hope to analyse and interpret text at large scale (Unsworth 2011, Kowalczyk 2012, Kowalczyk et al 2013. The services that the HTRC provides include, to date, support for scholar-created custom research collections ('worksets'), statistical text analysis tools and online interfaces to them, an application programming interface (API) for metadata, and a data API for public domain materials.…”

mentioning

confidence: 99%

A Fragmentizing Interface to a Large Corpus of Digitized Text: (Post)humanism and Non-consumptive Reading via Features

Bhattacharyya

Organisciak

Downie

2015

Interdisciplinary Science Reviews

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While the idea of distant reading does not rule out the possibility of close reading of the individual components of the corpus of digitized text that is being distant-read, this ceases to be the case when parts of the corpus are, for reasons relating to intellectual property, not accessible for consumption through downloading followed by close reading. Copyright restrictions on material in collections of digitized text such as the HathiTrust Digital Library (HTDL) necessitate providing facilities for non-consumptive reading, one of the approaches to which consists of providing users with features from the text in the form of small fragments of text, instead of the text itself. We argue that, contrary to expectation, the fragmentary quality of the features generated by the reading interface does not necessarily imply that the mode of reading enabled and mediated by these features points in an anti-humanist direction. We pose the fragmentariness of the features as paradigmatic of the fragmentation with which digital techniques tend, more generally, to trouble the humanities. We then generalize our argument to put our work on feature-based non-consumptive reading in dialogue with contemporary debates that are currently taking place in philosophy and in cultural theory and criticism about posthumanism and agency. While the locus of agency in such a non-consumptive practice of reading does not coincide with the customary figure of the singular human subject as reader, it is possible to accommodate this fragmentizing practice within the terms of an ampler notion of agency imagined as dispersed across an entire technosocial ensemble. When grasped in this way, such a practice of reading may be considered posthumanist but not necessarily antihumanist.keywords digital humanities, digital libraries, posthumanism, text analysis, textuality 62 SAYAN BHATTACHARYYA et al.

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Big Data at Scale for Digital Humanities

Cited by 2 publications

References 23 publications

Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American Literature

Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American Literature

A Fragmentizing Interface to a Large Corpus of Digitized Text: (Post)humanism and Non-consumptive Reading via Features

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