Results 221 to 230 of about 2,534 (254)
Distributional formal semantics
Information and Computation, 2022 To appear in: Information and Computation (WoLLIC 2019 Special Issue)
Noortje Venhuizen +2 more
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Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics [PDF]
Frontiers in Artificial Intelligence, 2022 Massimo Poesio +2 more
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Distributional Semantics and Linguistic Theory [PDF]
Annual Review of Linguistics, 2020 Distributional semantics provides multidimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown by a large body of research in computational linguistics; yet, its impact in theoretical linguistics has so far been limited.
Gemma Boleda
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Empirical distributional semantics: Methods and biomedical applications [PDF]
Journal of Biomedical Informatics, 2009 Trevor Cohen, Dominic Widdows
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A semantics for distributed Erlang
Proceedings of the 2005 ACM SIGPLAN workshop on Erlang, 2005We propose an extension to Fredlund's formal semantics for Erlang that models the concept of nodes. The motivation is that there exist sequences of events that can occur in practice, but are impossible to describe using a single-node semantics, such as Fredlund's. The consequence is that some errors in distributed systems might not be detected by model
Koen Claessen, Hans Svensson
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2023
Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic contexts. It is at once a theoretical model to express meaning, a practical methodology to construct semantic representations, a computational framework for acquiring meaning
Alessandro Lenci, Magnus Sahlgren
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Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic contexts. It is at once a theoretical model to express meaning, a practical methodology to construct semantic representations, a computational framework for acquiring meaning
Alessandro Lenci, Magnus Sahlgren
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Composition in Distributional Semantics
Language and Linguistics Compass, 2013Abstract Distributional Semantic Models, which automatically induce word meaning representations from naturally occurring textual data, are a success story of computational linguistics. Recently, there has been much interest in whether such models, endowed with a compositional component, can also successfully ...
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From Semantics to Spatial Distribution
2000This work studies the notion of locality in the context of process specification. It relates naturally with other works where information about the localities of a program is obtained information from its description written down in a programming language.
Luis R. Sierra Abbate +2 more
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Distributional Semantics of Clinical Words
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 2019Word embeddings are the distributed representation of the words in numerical form. Recent research in word embeddings shows the importance of using them in deep learning algorithms. Word embeddings are commonly leveraged as feature inputs to many deep learning models.
Vamsi Krishna +3 more
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