SimpleNLG-DE: Adapting SimpleNLG 4 to German

Braun, Daniel A.; Klimt, Kira; Schneider, Daniela Ribeiro; Matthes, Florian

doi:10.18653/v1/w19-8651

Cited by 8 publications

(9 citation statements)

References 14 publications

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“…We never encountered any serious limitation in generating text even when reproducing existing texts (e.g. Little Riding Hood), but we now describe a more formal evaluation by sampling sentences found in public corpora and reproducing them with jsRealB, similarly to the methodology used by Braun et al [2] for evaluating SimpleNLG-DE.…”

Section: Discussionmentioning

confidence: 99%

The jsRealB Text Realizer: Organization and Use Cases -- Revised version

Lapalme¹

2020

Preprint

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This paper describes the design principles behind jsRealB, a surface realizer written in JavaScript for English or French sentences from a specification inspired by the constituent syntax formalism. It can be used either within a web page or as a node .js module. We show that the seemingly simple process of text realization involves many interesting implementation challenges in order to take into account the specifics of each language. jsRealB has a large coverage of English and French and has been used to develop realistic data-to-text applications and to reproduce existing literary texts and sentences with Universal Dependency annotations. Its source code and that of its applications are available on GitHub.

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Section: Discussionmentioning

confidence: 99%

The jsRealB Text Realizer: Organization and Use Cases -- Revised version

Lapalme¹

2020

Preprint

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“…Because query answering over a KG needs to locate not only the nodes/entities in the KG but also paths connecting them, which is considered much more difficult than the entity discovery mechanisms. Our proposed solution is inspired by the strategy of path planning (Jike & Yuhui, 2008a) (Braun et al, 2019b) (VoiceFriend Integrated Messaging and Engagement Solution, n.d.). Consider the following analogous problem of traveling by car from Fargo, North Dakota, USA to Orlando, Florida, USA.…”

Section: Entity and Property Recognition And Linkingmentioning

confidence: 99%

Artificial Intelligence-Empowered Chatbot for Effective COVID-19 Information Delivery to Older Adults

Wang

Liang

et al. 2021

International Journal of E-Health and Medical Communications

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The coronavirus disease 2019 (COVID-19) epidemic poses a threat to the everyday life of people worldwide and brings challenges to the global health system. During this outbreak, it is critical to find creative ways to extend the reach of informatics into every person in society. Although there are many websites and mobile applications for this purpose, they are insufficient in reaching vulnerable populations like older adults who are not familiar with using new technologies to access information. In this paper, we propose an AI-enabled chatbot assistant that delivers real-time, useful, context-aware, and personalized information about COVID-19 to users, especially older adults. To use the assistant, a user simply speaks to it through a mobile phone or a smart speaker. This natural and interactive interface does not require the user to have any technical background. The virtual assistant was evaluated in the lab environment through various types of use cases. Preliminary qualitative test results demonstrate a reasonable precision and recall rate.

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“…However, SimpleNLG is still considered the most popular method since it was presented by Gatt and Reiter (2009), It is a rulebased realiser that uses three main steps syntactic, morphological and orthographic realisations to produce a correctly inflected and high-quality output. It was adapted to many languages includ-ing (in chronological order) French (Vaudry andLapalme, 2013), Italian (Mazzei et al, 2016), Spanish (Ramos-Soto et al, 2017), Galician (Cascallar-Fuentes et al, 2018), Dutch (de Jong andTheune, 2018), Mandarin (Chen et al, 2018) and German (Braun et al, 2019).…”

Section: Related Workmentioning

confidence: 99%

“…The lexicon was extracted from Wiktionary 5 . Usually, Wiktionary dump files are parsed to extract information (such as in (Braun et al, 2019). However, the Arabic dump file is not well formatted.…”

Section: Arabic Lexiconmentioning

confidence: 99%