Transforming scholarly landscapes: The influence of large language models on academic fields beyond computer science. [PDF]
PLoS ONELarge Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP's influence to other fields of study.
Aniket Pramanick +3 more
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"We must work tirelessly to promote …": Mediating interpersonal commitment to material processes in English translation of Chinese political discourse. [PDF]
PLoS ONEEvaluative items have been central in political translation studies. This paper extends previous research by focusing on "circumstances + material processes" expressions through data extracted from Chinese-English parallel corpus of Xi Jinping's ...
Jiachun Li, Shukun Chen, Yawen Zhang
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Combining computational linguistics with sentence embedding to create a zero-shot NLIDB
ArrayAccessing relational databases using natural language is a challenging task, with existing methods often suffering from poor domain generalization and high computational costs. In this study, we propose a novel approach that eliminates the training phase
Yuriy Perezhohin +2 more
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Promises and pitfalls of using LLMs to identify actor stances in political discourse. [PDF]
PLoS ONEEmpirical research in the social sciences is often interested in understanding actor stances; the positions that social actors take regarding normative statements in societal discourse.
Viviane Walker, Mario Angst
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Zero-shot Cross-Linguistic Learning of Event Semantics
Proceedings of the 15th International Conference on Natural Language Generation, 2022 Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific communicative setting and discourse constraints they face. In this paper, we look specifically at captions of images across Arabic, Chinese, Farsi, German, Russian, and Turkish ...
Alikhani, Malihe +8 more
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Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 An exciting outcome of research at the intersection of language and vision is that of zeroshot learning (ZSL). ZSL promises to scale visual recognition by borrowing distributed semantic models learned from linguistic corpora and turning them into visual recognition models.
Tanmoy Mukherjee, Timothy Hospedales
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Linguistically-Enriched and Context-AwareZero-shot Slot Filling [PDF]
Proceedings of the Web Conference 2021, 2021 Slot filling is identifying contiguous spans of words in an utterance that correspond to certain parameters (i.e., slots) of a user request/query. Slot filling is one of the most important challenges in modern task-oriented dialog systems. Supervised learning approaches have proven effective at tackling this challenge, but they need a significant ...
Siddique, A. B. +2 more
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Inflectional zero morphology – Linguistic myth or neurocognitive reality?
Frontiers in Psychology, 2022 Knowledge of language, its structure and grammar are an essential part of our education and daily activities. Despite the importance of language in our lives, linguistic theories that explain how the language system operates are often disconnected from our knowledge of the brain’s neurocognitive mechanisms underpinning the linguistic function.
Maria Alekseeva +3 more
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Faster Zero-shot Multi-modal Entity Linking via Visual-Linguistic Representation [PDF]
Data Intelligence, 2022 Abstract Multi-modal entity linking plays a crucial role in a wide range of knowledge-based modal-fusion tasks, i.e., multi-modal retrieval and multi-modal event extraction. We introduce the new ZEro-shot Multi-modal Entity Linking (ZEMEL) task, the format is similar to multi-modal entity linking, but multi-modal mentions are linked to ...
Qiushuo Zheng +4 more
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Fuzzy logic in linguistics: Its basic concepts and terminology [PDF]
Južnoslovenski Filolog, 2010 In this article the implementation of fuzzy logic in linguistics is concerned, with special reference to so-called ‘fuzzy linguistics’ and ‘cognitive linguistics’.
Radovanović Milorad
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