Results 31 to 40 of about 8,038,777 (287)
Неокультурный балласт в смысловых структурах естественного языка
The Neo-Cultural Ballast in the Semantic Structures of Natural Language. The neo-cultural ballast is built into the semantic structures of language. It modifies them and influences the ways of functioning of language in the public consciousness.
Leontieva, Oksana
doaj +1 more source
A Review of NLIDB With Deep Learning: Findings, Challenges and Open Issues
Relational databases are storage for a massive amount of data. Knowledge of structured query language is a prior requirement to access that data. That is not possible for all non-technical personals, leading to the need for a system that translates text ...
Shanza Abbas +4 more
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Abbreviated text input using language modeling. [PDF]
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by taking advantage of the informational redundancy in natural language ...
Goodridge, Andrew, Nelken, Rani
core +1 more source
Słowa kluczowe, tagi…, i co dalej?
Keywords, tags... and what else? Keywords and their latest versions, called tags, are the object of this paper. Those expressions are treated as elements of the lexical systems of respective languages: the keyword language and the tag language.
Wiesław Babik
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Epigenetic reprogramming of lineage switching in cancer
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Visual Tools for Natural Language Processing [PDF]
We describe GATE, the General Architecture for Text Engineering, an integrated visual development environment to support the visual assembly, execution and analysis of modular natural language processing systems.
Humphreys, Kevin +2 more
core +1 more source
Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT
Large Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen +4 more
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The trajectory data collected by an Automatic Identification System (AIS) are an essential resource for various ships, and effective filtering and querying approaches are fundamental for managing these data.
Xuan Guo +5 more
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Menzerath’s Law in the Syntax of Languages Compared with Random Sentences
The Menzerath law is considered to show an aspect of the complexity underlying natural language. This law suggests that, for a linguistic unit, the size (y) of a linguistic construct decreases as the number (x) of constructs in the unit increases.
Kumiko Tanaka-Ishii
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e-SNLI: Natural Language Inference with Natural Language Explanations
In order for machine learning to garner widespread public adoption, models must be able to provide interpretable and robust explanations for their decisions, as well as learn from human-provided explanations at train time. In this work, we extend the Stanford Natural Language Inference dataset with an additional layer of human-annotated natural ...
Camburu, O +3 more
openaire +4 more sources

