Results 51 to 60 of about 7,007,067 (368)
Неокультурный балласт в смысловых структурах естественного языка
Zeszyty Cyrylo-Metodiańskie, 2018 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
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Attention in Natural Language Processing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview of attention is still missing.
Andrea Galassi +2 more
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics [PDF]
IEEE Games Entertainment Media Conference, 2021 We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of automated metrics, datasets, and human evaluation standards.
Sebastian Gehrmann +55 more
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Development of the Computer Graphics Management System Using Text of Natural Language
Журнал інженерних наук, 2018 The computer has been an integral part of our life. We cannot imagine complicated mathematical and technological calculation without using computer, but we are at this stage in the development of computing systems, when is not enough computer obedience ...
Al Salaimeh S.
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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as sentences, have however not been so successful.
Alexis Conneau +4 more
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FOLIO: Natural Language Reasoning with First-Order Logic [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Large language models (LLMs) have achieved remarkable performance on a variety of natural language understanding tasks. However, existing benchmarks are inadequate in measuring the complex logical reasoning capabilities of a model.
Simeng Han +25 more
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The place of language among sign systems: Juri Lotman and Émile Benveniste
Sign Systems Studies, 2013 This paper seeks to shed light on an unwritten chapter in the history of Tartu semiotics, that is, to draw a parallel between Juri Lotman and Émile Benveniste on the status of natural language among other systems of signs.
Remo Gramigna
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TinyBERT: Distilling BERT for Natural Language Understanding [PDF]
Findings, 2019 Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually computationally expensive, so it is difficult to efficiently execute them ...
Xiaoqi Jiao +7 more
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Sentiment Analysis: Linguistic Potential of Preprocessing Regimentation
Виртуальная коммуникация и социальные сети, 2023 The article deals with the sentiment analysis regimentation as a relevant direction in automated natural language processing and its linguistic potential.
Aleksandr A. Barkovich
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Słowa kluczowe, tagi…, i co dalej?
Studia z Filologii Polskiej i Słowiańskiej, 2014 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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