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相关论文: A State-Transition Grammar for Data-Oriented Parsi…

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In this paper we provide for parsing with respect to grammars expressed in a general TFS-based formalism, a restriction of ALE. Our motivation being the design of an abstract (WAM-like) machine for the formalism, we consider parsing as a…

cmp-lg · 计算机科学 2016-08-31 Shuly Wintner , Nissim Francez

We present the formalism of sequential and asynchronous processes defined in terms of random or quantum grammars and argue that these processes have relevance in genomics. To make the article accessible to the non-mathematicians, we keep…

概率论 · 数学 2007-05-23 Dimitri Petritis

Modern language models define distributions over strings, but downstream tasks often require different output formats. For instance, a model that generates byte-pair strings does not directly produce word-level predictions, and a DNA model…

计算与语言 · 计算机科学 2026-03-09 Vésteinn Snæbjarnarson , Samuel Kiegeland , Tianyu Liu , Reda Boumasmoud , Ryan Cotterell , Tim Vieira

We present an approach to parallel natural language parsing which is based on a concurrent, object-oriented model of computation. A depth-first, yet incomplete parsing algorithm for a dependency grammar is specified and several restrictions…

cmp-lg · 计算机科学 2008-02-03 Peter Neuhaus , Udo Hahn

Sign Language (SL) linguistic is dependent on the expensive task of annotating. Some automation is already available for low-level information (eg. body part tracking) and the lexical level has shown significant progresses. The syntactic…

计算与语言 · 计算机科学 2014-06-26 Rémi Dubot , Christophe Collet

The following technical report presents a formal approach to probabilistic minimalist grammar parameter estimation. We describe a formalization of a minimalist grammar. We then present an algorithm for the application of variational…

计算与语言 · 计算机科学 2019-08-30 Eva Portelance , Amelia Bruno , Daniel Harasim , Leon Bergen , Timothy J. O'Donnell

We address the issue of how to associate frequency information with lexicalized grammar formalisms, using Lexicalized Tree Adjoining Grammar as a representative framework. We consider systematically a number of alternative probabilistic…

cmp-lg · 计算机科学 2008-02-03 John Carroll , David Weir

In this thesis we present a semantic representation formalism based on directed graphs and explore its linguistic adequacy and explanatory benefits in the semantics of plurality and quantification. Our graph language covers the essentials…

计算与语言 · 计算机科学 2021-12-14 Yu Cao

In this article, we present a fresh perspective on language, combining ideas from various sources, but mixed in a new synthesis. As in the minimalist program, the question is whether we can formulate an elegant formalism, a universal…

计算与语言 · 计算机科学 2023-03-10 Loe Feijs

The aim of this paper is to define a dependency grammar framework which is both linguistically motivated and computationally parsable. See the demo at http://www.conexor.fi/analysers.html#testing

cmp-lg · 计算机科学 2007-05-23 Timo Jarvinen , Pasi Tapanainen

Phrase-structure grammars are effective models for important syntactic and semantic aspects of natural languages, but can be computationally too demanding for use as language models in real-time speech recognition. Therefore, finite-state…

cmp-lg · 计算机科学 2008-02-03 Fernando C. N. Pereira , Rebecca N. Wright

Defining words in a textual context is a useful task both for practical purposes and for gaining insight into distributed word representations. Building on the distributional hypothesis, we argue here that the most natural formalization of…

计算与语言 · 计算机科学 2019-11-14 Timothee Mickus , Denis Paperno , Mathieu Constant

We are concerned with the analysis of normative texts - documents based on the deontic notions of obligation, permission, and prohibition. Our goal is to make queries about these notions and verify that a text satisfies certain properties…

计算与语言 · 计算机科学 2017-06-19 John J. Camilleri , Normunds Grūz\=ıtis , Gerardo Schneider

We present extensions to a continuous-state dependency parsing method that makes it applicable to morphologically rich languages. Starting with a high-performance transition-based parser that uses long short-term memory (LSTM) recurrent…

计算与语言 · 计算机科学 2015-08-12 Miguel Ballesteros , Chris Dyer , Noah A. Smith

We introduce stochastic and quantum finite-state transducers as computation-theoretic models of classical stochastic and quantum finitary processes. Formal process languages, representing the distribution over a process's behaviors, are…

量子物理 · 物理学 2008-04-29 Karoline Wiesner , James P. Crutchfield

Opinion mining, also known as sentiment analysis, is a subfield of natural language processing (NLP) that focuses on identifying and extracting subjective information in textual material. This can include determining the overall sentiment…

计算与语言 · 计算机科学 2023-08-08 Nour Eddine Zekaoui , Siham Yousfi , Maryem Rhanoui , Mounia Mikram

Language models trained on large text corpora encode rich distributional information about real-world environments and action sequences. This information plays a crucial role in current approaches to language processing tasks like question…

机器学习 · 计算机科学 2023-02-07 Belinda Z. Li , William Chen , Pratyusha Sharma , Jacob Andreas

The multiplicity of software projects' stakeholders and activities leads to the multiplicity of software specification views and thus creates the need to establish mutual consistency between them. The process of establishing such…

软件工程 · 计算机科学 2017-11-20 Alexandr Naumchev

In a recent paper (M. Barash, A. Okhotin, "Defining contexts in context-free grammars", LATA 2012), the authors introduced an extension of the context-free grammars equipped with an operator for referring to the left context of the…

形式语言与自动机理论 · 计算机科学 2014-05-23 Mikhail Barash , Alexander Okhotin

In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal…

人工智能 · 计算机科学 2017-06-14 Federico Cerutti , Alice Toniolo , Timothy J. Norman