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Recent work has attempted to characterize the structure of semantic memory and the search algorithms which, together, best approximate human patterns of search revealed in a semantic fluency task. There are a number of models that seek to…

Computation and Language · Computer Science 2017-12-01 Filip Miscevic , Aida Nematzadeh , Suzanne Stevenson

This paper introduces a framework for studying the interactions of autonomous system components and the design of the connectivity structure in Systems of Systems (SoSs). This framework, which uses complex network models, is also used to…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-05 Mohsen Mosleh , Peter Ludlow , Babak Heydari

We extend the semantics and type system of a lambda calculus equipped with common constructs to be "resource-aware". That is, the semantics keeps track of the usage of resources, and is stuck, besides in case of type errors, if either a…

Programming Languages · Computer Science 2026-03-24 Riccardo Bianchini , Francesco Dagnino , Paola Giannini , Elena Zucca

The automatic ranking of word pairs as per their semantic relatedness and ability to mimic human notions of semantic relatedness has widespread applications. Measures that rely on raw data (distributional measures) and those that use…

Computation and Language · Computer Science 2012-03-09 Saif M Mohammad , Graeme Hirst

Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown in a large body of work in computational linguistics;…

Computation and Language · Computer Science 2020-03-19 Gemma Boleda

There have been several efforts to extend distributional semantics beyond individual words, to measure the similarity of word pairs, phrases, and sentences (briefly, tuples; ordered sets of words, contiguous or noncontiguous). One way to…

Machine Learning · Computer Science 2013-10-21 Peter D. Turney

In this paper we dealt with the comparison and linking between lexical resources with domain knowledge provided by ontologies. It is one of the issues for the combination of the Semantic Web Ontologies and Text Mining. We investigated the…

Artificial Intelligence · Computer Science 2015-03-17 He Tan

Graphs provide a unified representation of semantic content and relational structure, making them a natural fit for domains such as molecular modeling, citation networks, and social graphs. Meanwhile, large language models (LLMs) have…

Machine Learning · Computer Science 2026-05-04 Haotian Xu , Yuning You , Tengfei Ma

A perspective of statistical language models which emphasizes their collocational aspect is advocated. It is suggested that strings be generalized in terms of classes of relationships instead of classes of objects. The single most important…

cmp-lg · Computer Science 2008-02-03 Robert John Freeman

This article proposes a method to extract dependency structures from phrase-structure level parsing with Interaction Grammars. Interaction Grammars are a formalism which expresses interactions among words using a polarity system.…

Computation and Language · Computer Science 2009-09-21 Jonathan Marchand , Bruno Guillaume , Guy Perrier

Dependency syntax represents the structure of a sentence as a tree composed of dependencies, i.e., directed relations between lexical units. While in its more general form any such tree is allowed, in practice many are not plausible or are…

Computation and Language · Computer Science 2026-04-07 Gómez-Rodríguez , Carlos , Alemany-Puig , Lluís

Syntactic theory has traditionally adopted a constructivist approach, in which a set of atomic elements are manipulated by combinatory operations to yield derived, complex elements. Syntactic structure is thus seen as the result or discrete…

Computation and Language · Computer Science 2019-01-01 Diego Gabriel Krivochen

RESTful services on the Web expose information through retrievable resource representations that represent self-describing descriptions of resources, and through the way how these resources are interlinked through the hyperlinks that can be…

Artificial Intelligence · Computer Science 2010-06-15 Rosa Alarcon , Erik Wilde

A fundamental advantage of neural models for NLP is their ability to learn representations from scratch. However, in practice this often means ignoring existing external linguistic resources, e.g., WordNet or domain specific ontologies such…

Computation and Language · Computer Science 2017-04-26 Ye Zhang , Matthew Lease , Byron C. Wallace

Large language models (LLMs) offer a new empirical setting in which long-standing theories of linguistic meaning can be examined. This paper contrasts two broad approaches: social constructivist accounts associated with language games, and…

Computation and Language · Computer Science 2026-01-05 Dimitris Vartziotis

This paper presents a multidimensional Dependency Grammar (DG), which decouples the dependency tree from word order, such that surface ordering is not determined by traversing the dependency tree. We develop the notion of a \emph{word order…

cmp-lg · Computer Science 2009-09-25 Norbert Broeker

Distributional semantics has had enormous empirical success in Computational Linguistics and Cognitive Science in modeling various semantic phenomena, such as semantic similarity, and distributional models are widely used in…

Computation and Language · Computer Science 2019-05-20 Matthijs Westera , Gemma Boleda

Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural building blocks. These features tend to be shared by…

Social and Information Networks · Computer Science 2016-10-20 Ian Barnett , Nishant Malik , Marieke L. Kuijjer , Peter J. Mucha , Jukka-Pekka Onnela

We employ the theory of canonical extensions to study residuation algebras whose associated relational structures are functional, i.e., for which the ternary relations associated to the expanded operations admit an interpretation as…

Logic · Mathematics 2018-04-24 Wesley Fussner , Alessandra Palmigiano

The mathematical representation of semantics is a key issue for Natural Language Processing (NLP). A lot of research has been devoted to finding ways of representing the semantics of individual words in vector spaces. Distributional…

Computation and Language · Computer Science 2014-11-13 Karl Moritz Hermann