Collaborative semantic representation network for metaphor detection

Yang, Qimeng; Yu, Long; Tian, Shengwei; Song, Jing

doi:10.1016/j.asoc.2021.107911

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…Several solutions have been proposed to solve this issue at the sentence level as well as at the level of individual words. Yang et al [221] introduced a collaborative model using a semantic representation network for the detection of metaphors at different levels.…”

Section: Processing Metaphorsmentioning

confidence: 99%

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Tyagi

Bhushan

2023

Wireless Pers Commun

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Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the people by aiding in fast urbanization and resource management through sustainable and scalable innovative solutions. The penetration of Information and Communication Technology (ICT) in smart cities has been a major contributor to keeping up with the agility and pace of their development. In this paper, we have explored Natural Language Processing (NLP) which is one such technical discipline that has great potential in optimizing ICT processes and has so far been kept away from the limelight. Through this study, we have established the various roles that NLP plays in building smart cities after thoroughly analyzing its architecture, background, and scope. Subsequently, we present a detailed description of NLP's recent applications in the domain of smart healthcare, smart business, and industry, smart community, smart media, smart research, and development as well as smart education accompanied by NLP's open challenges at the very end. This work aims to throw light on the potential of NLP as one of the pillars in assisting the technical advancement and realization of smart cities.

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Section: Processing Metaphorsmentioning

confidence: 99%

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Tyagi

Bhushan

2023

Wireless Pers Commun

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“…We first detect metaphors in texts by using a novel token-level metaphor identification method. The existing metaphor identification methods are phrase-level [4,23] or token-level metaphor recognition method [24]. Nevertheless, the accuracy of token-level metaphor recognition methods is low.…”

Section: Introductionmentioning

confidence: 99%

Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing

Zhang

Peng

et al. 2022

Companion Proceedings of the Web Conference 2022

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Metaphor, which can implicitly express profound meanings and emotions, is a unique writing technique frequently used in human language. In writing, meaningful metaphorical expressions can enhance the literariness and creativity of texts. Therefore, the usage of metaphor is a significant impact factor when assessing the creativity and literariness of writing. However, little to no automatic writing assessment system considers metaphorical expressions when giving the score of creativity. For improving the accuracy of automatic writing assessment, this paper proposes a novel creativity assessment model that imports a token-level metaphor identification method to extract metaphors as the indicators for creativity scoring. The experimental results show that our model can accurately assess the creativity of different texts with precise metaphor identification. To the best of our knowledge, we are the first to apply automatic metaphor identification to assess writing creativity. Moreover, identifying features (e.g., metaphors) that influence writing creativity using computational approaches can offer fair and reliable assessment methods for educational settings.

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Collaborative semantic representation network for metaphor detection

Cited by 2 publications

References 29 publications

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing

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