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Related papers: Interaction Grammars

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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

Graph Interpolation Grammars are a declarative formalism with an operational semantics. Their goal is to emulate salient features of the human parser, and notably incrementality. The parsing process defined by GIGs incrementally builds a…

cmp-lg · Computer Science 2009-09-25 John Larcheveque

This article describes a method to build syntactical dependencies starting from the phrase structure parsing process. The goal is to obtain all the information needed for a detailled semantical analysis. Interaction Grammars are used for…

Computation and Language · Computer Science 2010-11-19 Jonathan Marchand , Bruno Guillaume , Guy Perrier

This paper proposes to use dialgebras to specify the semantics of interactive systems in a natural way. Dialgebras are a conservative extension of coalgebras. In this categorical model, from the point of view that we provide, the notions of…

Programming Languages · Computer Science 2011-08-03 Vincenzo Ciancia

Message Sequence Charts & Sequence Diagrams are graphical models that represent the behavior of distributed and concurrent systems via the scheduling of discrete and local emission and reception events. We propose an Interaction Language…

Formal Languages and Automata Theory · Computer Science 2021-05-04 Erwan Mahe , Christophe Gaston , Pascale Le Gall

How complex is an Ising model? Usually, this is measured by the computational complexity of its ground state energy problem. Yet, this complexity measure only distinguishes between planar and non-planar interaction graphs, and thus fails to…

Statistical Mechanics · Physics 2025-05-28 Tobias Reinhart , Gemma De les Coves

Contact between languages has the potential to transmit vocabulary and other language features; however, this does not always happen. Here, an iterated learning model is used to examine, in a simple way, the resistance of languages to…

Computation and Language · Computer Science 2024-08-27 Seth Bullock , Conor Houghton

Integrative Complexity (IC) is a psychometric that measures the ability of a person to recognize multiple perspectives and connect them, thus identifying paths for conflict resolution. IC has been linked to a wide variety of political,…

Computers and Society · Computer Science 2019-06-06 Alexander Robertson , Luca Maria Aiello , Daniele Quercia

Recently researchers working in the LFG framework have proposed algorithms for taking advantage of the implicit context-free components of a unification grammar [Maxwell 96]. This paper clarifies the mathematical foundations of these…

cmp-lg · Computer Science 2008-02-03 Marc Dymetman

Making a linguistic theory is like making a programming language: one typically devises a type system to delineate the acceptable utterances and a denotational semantics to explain observations on their behavior. Via this connection, the…

Computation and Language · Computer Science 2007-05-23 Chung-chieh Shan

Recent Iterated Response (IR) models of pragmatics conceptualize language use as a recursive process in which agents reason about each other to increase communicative efficiency. These models are generally defined over complete utterances.…

Computation and Language · Computer Science 2018-10-23 Reuben Cohn-Gordon , Noah D. Goodman , Christopher Potts

The principle of compositionality, which enables natural language to represent complex concepts via a structured combination of simpler ones, allows us to convey an open-ended set of messages using a limited vocabulary. If compositionality…

Computation and Language · Computer Science 2020-02-18 Yi Ren , Shangmin Guo , Matthieu Labeau , Shay B. Cohen , Simon Kirby

Natural language is characterized by compositionality: the meaning of a complex expression is constructed from the meanings of its constituent parts. To facilitate the evaluation of the compositional abilities of language processing…

Computation and Language · Computer Science 2020-10-13 Najoung Kim , Tal Linzen

Several explanation methods such as Integrated Gradients (IG) can be characterised as path-based methods, as they rely on a straight line between the data and an uninformative baseline. However, when applied to language models, these…

Computation and Language · Computer Science 2023-05-26 Joseph Enguehard

Models of complex systems are widely used in the physical and social sciences, and the concept of layering, typically building upon graph-theoretic structure, is a common feature. We describe an intuitionistic substructural logic called…

Logic in Computer Science · Computer Science 2023-06-22 Simon Docherty , David Pym

We use dialgebras, generalising both algebras and coalgebras, as a complement of the standard coalgebraic framework, aimed at describing the semantics of an interactive system by the means of reaction rules. In this model, interaction is…

Logic in Computer Science · Computer Science 2013-06-05 Vincenzo Ciancia

Interactive communication (IC), i.e., the reciprocal exchange of information between two or more interactive partners, is a fundamental part of human nature. As such, it has been studied across multiple scientific disciplines with different…

This paper presents a model for linguistic description based on group theory. A grammar in this model, or "G-grammar", is a collection of lexical expressions which are products of logical forms, phonological forms, and their inverses.…

cmp-lg · Computer Science 2007-05-23 Marc Dymetman

We propose a formalism for representation of finite languages, referred to as the class of IDL-expressions, which combines concepts that were only considered in isolation in existing formalisms. The suggested applications are in natural…

Artificial Intelligence · Computer Science 2011-07-04 M. J. Nederhof , G. Satta

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm…

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