Results 51 to 60 of about 9,504,350 (389)

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data [PDF]

open access: yesConference 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
semanticscholar   +1 more source

Reference in Formal Semantics and Natural Language: A Methodological Route

open access: yesPhenomenology and Mind, 2019
In this paper, I will tackle the notion of reference of singular terms in the light of a classic analytic divide, i.e. whether its analysis, like the analysis of other basic notions, should be carried out in natural language or in the semantics of formal
Francesca Boccuni
doaj   +1 more source

The Stanford CoreNLP Natural Language Processing Toolkit

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2014
We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP community and also among commercial and government users of ...
Christopher D. Manning   +5 more
semanticscholar   +1 more source

Słowa kluczowe, tagi…, i co dalej?

open access: yesStudia 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
doaj   +1 more source

Datasets: A Community Library for Natural Language Processing [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2021
The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets
Quentin Lhoest   +31 more
semanticscholar   +1 more source

Sentiment Analysis: Linguistic Potential of Preprocessing Regimentation

open access: yesВиртуальная 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
doaj   +1 more source

The place of language among sign systems: Juri Lotman and Émile Benveniste

open access: yesSign 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
doaj   +1 more source

PIQA: Reasoning about Physical Commonsense in Natural Language [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2019
To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to today's natural language understanding systems.
Yonatan Bisk   +4 more
semanticscholar   +1 more source

FOLIO: Natural Language Reasoning with First-Order Logic [PDF]

open access: yesConference 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
semanticscholar   +1 more source

Menzerath’s Law in the Syntax of Languages Compared with Random Sentences

open access: yesEntropy, 2021
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
doaj   +1 more source

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