Results 11 to 20 of about 121,704 (159)
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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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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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 ...
Fuad Jamour +2 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.
Timothy M. Hospedales, Tanmoy Mukherjee
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Zero to spoken dialogue system in one quarter [PDF]
Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics - TeachCL '08, 2008 This paper describes a Computational Linguistics course designed for Linguistics students. The course is structured around the architecture of a Spoken Dialogue System and makes extensive use of the dialogue system tools and examples available in the Regulus Open Source Project.
Gwen Christian, Beth Ann Hockey
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Automatic linguistic analysis for language teachers [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 This paper presents the Natural Language Processing-based linguistic analysis tool that we have developed for Japanese as a Second Language teachers. This program, Zero Detector (ZD), aims to promote effective instruction of zero anaphora, on the basis of a hypothesis about ideal conditions for second language acquisition, by making invisible zeros ...
Makoto Yoshie +3 more
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Zero-shot cross-lingual transfer language selection using linguistic similarity
Information Processing & Management, 2023 We study the selection of transfer languages for different Natural Language Processing tasks, specifically sentiment analysis, named entity recognition and dependency parsing. In order to select an optimal transfer language, we propose to utilize different linguistic similarity metrics to measure the distance between languages and make the choice of ...
Juuso Eronen +2 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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ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
, 2023 Preprint.
Kesen I. +10 more
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Few-Shot and Zero-Shot Learning for Historical Text Normalization [PDF]
, 2019 Historical text normalization often relies on small training datasets. Recent work has shown that multi-task learning can lead to significant improvements by exploiting synergies with related datasets, but there has been no systematic study of different ...
Bollmann, Marcel +2 more
core +3 more sources