Fictive motion in the context of mountaineering

Egorova, Ekaterina; Tenbrink, Thora; Purves, Ross S.

doi:10.1080/13875868.2018.1431646

Cited by 25 publications

(12 citation statements)

References 32 publications

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“…Only the second clause (describing the observer lowering herself to the ledge) indicates that the motion is hypothetical. Nonetheless, the reliability measure Krippendorff's alpha was found to be 0.802, which represents substantial agreement (Egorova et al 2018).…”

Section: Non-actual Motion (Vista)mentioning

confidence: 83%

“…According to Egorova et al (2018), the three major types of spatial descriptions encoded by FM differ in the spatial language used and in most cases can be distinguished based on the markers. However, in the absence of clear markers, only a broader context can disambiguate if the actual motion is present.…”

Section: Non-actual Motion (Vista)mentioning

confidence: 99%

“…Bateman et al 2010) for the potential linguistic encoding of the concepts. Egorova et al (2018), while reporting on the types of scenes encoded by FM and corresponding markers, do not provide an exhaustive account of the structure and systematicity of the latter. There is thus also a need to link relevant concepts to their linguistic encoding.…”

Section: Research Gaps and Problem Statementmentioning

confidence: 99%

“…There is thus also a need to link relevant concepts to their linguistic encoding. Working with the corpus of annotated FM provided by Egorova et al (2018), we aim to address these gaps by answering the following questions: I. What are the concepts that capture the differences between the types of scenes described by FM?…”

Section: Research Gaps and Problem Statementmentioning

confidence: 99%

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Fictive motion extraction and classification

Egorova

Moncla

Gaio

et al. 2018

International Journal of Geographical Information Science

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Fictive motion (e.g. 'The highway runs along the coast') is a pervasive phenomenon in language that can imply both a static and a moving observer. In a corpus of alpine narratives, it is used in three types of spatial descriptions: conveying the actual motion of the observer, describing a vista and communicating encyclopaedic spatial knowledge. This study takes a knowledge-based approach to develop rules for automated extraction and classification of these types based on an annotated corpus of fictive motion instances. In particular, we identify the differences in the set of concepts involved into the production of the three types of descriptions, followed by their linguistic operationalization. Based on that, we build a set of rules that classify fictive motion with an overall precision of 0.87 and recall of 0.71. The article highlights the importance of examining spatially rich, naturally occurring corpora for the lines of work dealing with the automated interpretation of spatial information in texts, as well as, more broadly, investigation of spatial language involved into various types of spatial discourse.

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Section: Non-actual Motion (Vista)mentioning

confidence: 83%

Section: Non-actual Motion (Vista)mentioning

confidence: 99%

Section: Research Gaps and Problem Statementmentioning

confidence: 99%

Section: Research Gaps and Problem Statementmentioning

confidence: 99%

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Fictive motion extraction and classification

Egorova

Moncla

Gaio

et al. 2018

International Journal of Geographical Information Science

Self Cite

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“…O movimento no espaço físico é um dos domínios experienciais mais básicos em nossa vida cotidiana, o que, para muitos pesquisadores, explica uma tendência cognitiva ao dinamismo na linguagem (Talmy 2000a, Egorova et al 2018.…”

Section: Padrões De Representação Do Movimentounclassified

Redobramento, recursão e verbos de movimento em português

Kewitz

2020

Revista Diadorim

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Neste artigo apresento um dos padrões de representação do movimento em português, especificamente quando há redobramento da informação do percurso no verbo e em expressões preposicionadas ou adverbiais. Para tanto, retomo o conceito de redobramento sintático apresentado por Moraes de Castilho (2005, 2011), atrelado ao Princípio de Recursão da Abordagem Multissistêmica (CASTILHO 2015). Com base na Semântica Cognitiva, mais especificamente na proposta de Talmy (1985, 2000b), descrevo dados do português arcaico com alguns verbos de movimento (entrar, sair, subir etc.) em que se observa o redobramento da informação de percurso. Ao final, coloco algumas questões e encaminhamentos para pesquisas futuras.

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Identifying Landscape Relevant Natural Language using Actively Crowdsourced Landscape Descriptions and Sentence-Transformers

Baer

Purves

2023

Künstl Intell

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Natural language has proven to be a valuable source of data for various scientific inquiries including landscape perception and preference research. However, large high quality landscape relevant corpora are scare. We here propose and discuss a natural language processing workflow to identify landscape relevant documents in large collections of unstructured text. Using a small curated high quality collection of actively crowdsourced landscape descriptions we identify and extract similar documents from two different corpora (Geograph and WikiHow) using sentence-transformers and cosine similarity scores. We show that 1) sentence-transformers combined with cosine similarity calculations successfully identify similar documents in both Geograph and WikiHow effectively opening the door to the creation of new landscape specific corpora, 2) the proposed sentence-transformer approach outperforms traditional Term Frequency - Inverse Document Frequency based approaches and 3) the identified documents capture similar topics when compared to the original high quality collection. The presented workflow is transferable to various scientific disciplines in need of domain specific natural language corpora as underlying data.

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Fictive motion in the context of mountaineering

Cited by 25 publications

References 32 publications

Fictive motion extraction and classification

Fictive motion extraction and classification

Redobramento, recursão e verbos de movimento em português

Identifying Landscape Relevant Natural Language using Actively Crowdsourced Landscape Descriptions and Sentence-Transformers

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