The Extended Digital Scholarly Edition of “The Name of the Rose”: modelling, workflow and the IDEA paradigm by Christian D'Agata

Subjects: “…euporia and domain specific language annotation…”
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Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training by Hao Wang, Lekai Zhou, Jianyong Duan, Li He

“…To address this problem, this paper proposes a method for cross-lingual entity recognition based on an attention mechanism and adversarial training, using resource-rich language annotation data to migrate to low-resource languages for named entity recognition tasks and outputting changing semantic vectors through the attention mechanism to effectively solve the long-sequence semantic dilution problem. …”
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A Blackboard Model for Flexible and Parallel Text Annotation by Marc Gallofre Ocana, Andreas L. Opdahl

“…Creating rich semantic text annotations is a complex process that involves combining multiple natural-language annotation approaches. This annotation process is often approached sequentially and includes pre-processing steps and techniques that build on the outputs of others. …”
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Beginning programming with Java for dummies / by 453488 Burd, Barry

EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets by Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola Ferrier, Oliver Cossairt, Maria K.Y. Chan

“…toolkit for the automatic extraction, separation, and caption-based natural language annotation of images from scientific literature. …”
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Annotation Scheme and Evaluation: The Case of Offensive Language by Barbara Lewandowska-Tomaszczyk, Slavko Žitnik, Chaya Liebeskind, Giedre Valunaite Oleskevicienė, Anna Bączkowska, Paul A. Wilson, Marcin Trojszczak, Ivana Brač, Lobel Filipić, Ana Ostroški Anić, Olga Dontcheva-Navratilova, Agnieszka Borowiak, Kristina Despot, Jelena Mitrović

“…The present paper focuses on the presentation and discussion of aspects of OFFENSIVE LANGUAGE linguistic annotation, including the creation, annotation practice, curation, and evaluation of an OFFENSIVE LANGUAGE annotation taxonomy scheme, that was first proposed in Lewandowska-Tomaszczyk et al. (2021). …”
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Discovering the Language of Actions by Sharma, Pratyusha

“…Here, we present a framework for learning hierarchical policies from demonstrations, using sparse natural language annotations to guide the discovery of reusable skills for autonomous decision-making. …”
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Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry by Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin

“…Thus, domain-specific knowledge about fault characteristics and severities exists as technical language annotations in industrial datasets. Furthermore, recent advances in natural language processing enable weakly supervised model optimisation using natural language annotations, most notably in the form of natural language supervision (NLS). …”

Corpus Notarial y Sintáctico del Asturiano Medieval (CoNSAM-XIII) by Rosabel San Segundo-Cachero

“…This annotation system allows for queries and comparative studies among languages annotated according to the same standard by using the searcher CorpusSearch (Randall, 2005).…”
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Joint visual template and natural language for robust visual tracking by Jingchao Wang, Huanlong Zhang, Jianwei Zhang

“…Experimental results over tracking benchmarks with language annotations show that the proposed VNTrack is competitive among the state‐of‐the‐art trackers.…”
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Self-Supervised Skill Learning for Semi-Supervised Long-Horizon Instruction Following by Benhui Zhuang, Chunhong Zhang, Zheng Hu

“…This paper addresses the challenge of learning such an agent under the scarcity of language annotations. One approach for leveraging unannotated data is to generate pseudo-labels for unannotated trajectories using sparse seed annotations. …”
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Generating web service request from annotated BPEL by Nguyen, Ngoc Son.

“…Since Web service discovery systems may support different Web service description languages, Annotated-BPEL must be translated into specific description languages so that it can be readable and understood. …”
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Scalable syntactic inductive biases for neural language models by Kuncoro, AS

“…</p> <p>Altogether, our findings and methods in this work: (i) provide an example of how existing linguistic theories (particularly concerning the syntax of language), annotations, and resources can be used both as diagnostic evaluation tools, and also as a source of prior knowledge for crafting inductive biases that can improve the performance of computational models of language; (ii) showcase the <em>continued</em> relevance and benefits of more explicit syntactic inductive biases, even within the context of scalable neural models like BERT that can derive their knowledge from large amounts of data; (iii) contribute to a better understanding of where exactly syntactic biases are most helpful in different types of NLP tasks; and (iv) motivate the broader question of how we can design models that integrate stronger syntactic biases---and yet can be easily scalable at the same time---as a promising (if relatively underexplored) direction of NLP research.…”