Results 1 to 10 of about 144,316 (254)
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
doaj +3 more sources
Zero-shot Generative Linguistic Steganography [PDF]
arXivGenerative linguistic steganography attempts to hide secret messages into covertext. Previous studies have generally focused on the statistical differences between the covertext and stegotext, however, ill-formed stegotext can readily be identified by humans.
Lin, Ke +3 more
arxiv +3 more sources
Journal of Contemporary Educational Research, 2023 Based on Halliday’s systemic functional grammar, especially the ideational function, this research aims at disclosing the hidden ideologies and values of the seemingly objective news reports on China’s COVID-19 policies in The Economist. Transitivity, voice, and nominalization are the major analytical subjects. After China lifted the zero-COVID policy,
Chuyan Wang
openalex +3 more sources
Exploring Linguistic Similarity and Zero-Shot Learning for Multilingual Translation of Dravidian Languages [PDF]
arXiv, 2023 Current research in zero-shot translation is plagued by several issues such as high compute requirements, increased training time and off target translations. Proposed remedies often come at the cost of additional data or compute requirements. Pivot based neural machine translation is preferred over a single-encoder model for most settings despite the ...
Ebadulla, Danish +4 more
arxiv +3 more sources
Journal of Applied Statistics, 2019 Corpus linguistics is the study of language as expressed in a body of texts or documents. The relative frequency of a word within a text and the dispersion of the word across the collection of texts provide information about the word's prominence and diffusion, respectively.
Brent D. Burch, Jesse Egbert
openalex +5 more sources
Ontology extension by online clustering with large language model agents. [PDF]
Front Big DataAn ontology is a structured framework that categorizes entities, concepts, and relationships within a domain to facilitate shared understanding, and it is important in computational linguistics and knowledge representation.
Wu G, Ling C, Graetz I, Zhao L.
europepmc +2 more sources
Linguistics parameters for zero anaphora resolution
, 2010 This dissertation describes and proposes a set of linguistically motivated rules for zero anaphora resolution in the context of a natural language processing chain developed for Portuguese. Some languages, like Portuguese, allow noun phrase (NP) deletion (or zeroing) in several syntactic contexts in order to avoid the redundancy that would result from ...
Simone Cristina Pereira
openalex +2 more sources
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
+6 more sources
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
openaire +4 more sources
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
openaire +3 more sources