Results 21 to 30 of about 37,120 (283)

Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey

open access: yesFrontiers in Robotics and AI, 2020
Natural language is inherently a discrete symbolic representation of human knowledge. Recent advances in machine learning (ML) and in natural language processing (NLP) seem to contradict the above intuition: discrete symbols are fading away, erased by ...
Lorenzo Ferrone, Fabio Massimo Zanzotto
doaj   +1 more source

Eesti keele ühendverbide kompositsionaalsuse määramine

open access: yesEesti Rakenduslingvistika Ühingu Aastaraamat, 2016
The purposes of this article are to automatically classify Estonian particle verbs and detect their degree of compositionality. In order to group particle verbs, the lexical association measures (AMs) are compared.
Eleri Aedmaa
doaj   +1 more source

Overview of data preprocessing for machine learning applications in human microbiome research

open access: yesFrontiers in Microbiology, 2023
Although metagenomic sequencing is now the preferred technique to study microbiome-host interactions, analyzing and interpreting microbiome sequencing data presents challenges primarily attributed to the statistical specificities of the data (e.g ...
Eliana Ibrahimi   +13 more
doaj   +1 more source

Faster linearizability checking via $P$-compositionality [PDF]

open access: yes, 2015
Linearizability is a well-established consistency and correctness criterion for concurrent data types. An important feature of linearizability is Herlihy and Wing's locality principle, which says that a concurrent system is linearizable if and only if ...
A. Aiyer   +19 more
core   +3 more sources

Geometry of Compositionality

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2017
This paper proposes a simple test for compositionality (i.e., literal usage) of a word or phrase in a context-specific way. The test is computationally simple, relying on no external resources and only uses a set of trained word vectors.
Hongyu Gong, Suma Bhat, Pramod Viswanath
openaire   +2 more sources

Linearity and compositionality in the semantics of binomial stable constructions [PDF]

open access: yesСлово.ру: балтийский акцент
The article examines binomial stable syntactic constructions (BSSCs) as a distinct class of phraseologized expressions in Russian. The analysis focuses on the interaction between two key parameters of their semantic organisation: linearity and ...
Ma Cuiting, Saakyan L.N.
doaj   +1 more source

German particle verbs: Compositionality at the syntax-semantics interface

open access: yesJournal of Language Modelling, 2018
Particle verbs represent a type of multi-word expression composed of a base verb and a particle. The meaning of the particle verb is often, but not always, derived from the meaning of the base verb, sometimes in quite complex ways.
Stefan Bott, Sabine Schulte im Walde
doaj   +1 more source

Compositional Semantic Parsing on Semi-Structured Tables [PDF]

open access: yes, 2015
Two important aspects of semantic parsing for question answering are the breadth of the knowledge source and the depth of logical compositionality. While existing work trades off one aspect for another, this paper simultaneously makes progress on both ...
Liang, Percy, Pasupat, Panupong
core   +2 more sources

Non-Compositional Term Dependence for Information Retrieval [PDF]

open access: yes, 2015
Modelling term dependence in IR aims to identify co-occurring terms that are too heavily dependent on each other to be treated as a bag of words, and to adapt the indexing and ranking accordingly.
Fujita S.   +20 more
core   +1 more source

Compositionality in al-Farabi [PDF]

open access: yesحکمت اسرا, 2015
Compositionality is an important principle in new semantics. On this principle, the meanings of compound words are determined by the meaning of its parts and the way in which how to be composed. Every system of semantics must be compositional on a priory
bahaodin movahhed abtahi   +2 more
doaj  

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