Explicit-implicit Distinction: A Review of Related Literature

doi:10.7575/aiac.alls.v.7n.1p.175

Cited by 6 publications

(2 citation statements)

References 51 publications

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“…Two different types of information can be disclosed in online profiles: explicit and implicit (Jarrah, 2016;Liang et al, 2019;Yus, 1999). First, explicit information is presented in the most influential and efficient way feasible.…”

Section: Self-disclosure and Booking Intentionmentioning

confidence: 99%

Self-disclosure and trust in the shared economy: a cross-cultural comparison

Broeder

2023

TMS

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Airbnb is one of the fastest-growing businesses within the sharing economy. In this online marketplace, hosts can list their spare rooms, apartments, or houses as accommodation for Airbnb guests in return for money. Since customers tend to be careful when booking a stranger's house, trust is one of the most important elements of Airbnb. One concrete way of establishing trust is self-disclosure. This study explored online marketplaces such as Airbnb and their users with a framework on how self-disclosure in personal descriptions can be used to increase booking intention. An online experimental survey with two conditions was conducted (implicit vs. explicit host self-disclosure). There were 129 Dutch participants and 71 Chinese participants from China. Contrary to our expectations, implicit language in self-disclosure by the Airbnb host led to more trust than explicit language. Airbnb guests from the Netherlands had higher booking intentions and more trust in the Airbnb host after reading an implicit self-disclosure compared to guests from China. These cultural differences disappeared with the explicit self-disclosure profile.

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Section: Self-disclosure and Booking Intentionmentioning

confidence: 99%

Self-disclosure and trust in the shared economy: a cross-cultural comparison

Broeder

2023

TMS

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“…Implicit NP Relations Next, we analyze the composition of the relations in the dataset, as to whether these relations are implicit or explicit. While there is no accepted definition of explicit-implicit distinction in the literature (Carston, 2009;Jarrah, 2016), here we adapt a definition originally used by Cheng and Erk (2019) for another phenomenon, implicit arguments: 14 In an implicit relation the anchor and the complement are not syntactically connected to each other and might not even appear in the same sentence. This implies, for example, that any inter-sentential relations are implicit 15 , while relations within one sentence can be either implicit or explicit.…”

Section: Np-relationsmentioning

confidence: 99%

Text-based NP Enrichment

Elazar

Basmova

Goldberg

et al. 2022

Transactions of the Association for Computational Linguistics

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Understanding the relations between entities denoted by NPs in a text is a critical part of human-like natural language understanding. However, only a fraction of such relations is covered by standard NLP tasks and benchmarks nowadays. In this work, we propose a novel task termed text-based NP enrichment (TNE), in which we aim to enrich each NP in a text with all the preposition-mediated relations—either explicit or implicit—that hold between it and other NPs in the text. The relations are represented as triplets, each denoted by two NPs related via a preposition. Humans recover such relations seamlessly, while current state-of-the-art models struggle with them due to the implicit nature of the problem. We build the first large-scale dataset for the problem, provide the formal framing and scope of annotation, analyze the data, and report the results of fine-tuned language models on the task, demonstrating the challenge it poses to current technology. A webpage with a data-exploration UI, a demo, and links to the code, models, and leaderboard, to foster further research into this challenging problem can be found at: yanaiela.github.io/TNE/.

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