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In this note we suggest that difficulties encountered in natural language semantics are, for the most part, due to the use of mere symbol manipulation systems that are devoid of any content. In such systems, where there is hardly any link…

人工智能 · 计算机科学 2007-12-13 Walid S. Saba

A wide range of constraints can be compactly specified using automata or formal languages. In a sequence of recent papers, we have shown that an effective means to reason with such specifications is to decompose them into primitive…

人工智能 · 计算机科学 2009-03-04 Claude-Guy Quimper , Toby Walsh

Human beings possess the most sophisticated computational machinery in the known universe. We can understand language of rich descriptive power, and communicate in the same environment with astonishing clarity. Two of the many contributors…

计算与语言 · 计算机科学 2021-01-01 Karthikeya Ramesh Kaushik , Andrea E. Martin

We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it in ordinary language. Assuming the existence of such a structure, we show that the…

人工智能 · 计算机科学 2009-09-29 Walid S. Saba

We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it. Assuming such a structure we show that the semantics of various natural language…

人工智能 · 计算机科学 2007-05-23 Walid S. Saba

Compositionality in language refers to how much the meaning of some phrase can be decomposed into the meaning of its constituents and the way these constituents are combined. Based on the premise that substitution by synonyms is…

计算与语言 · 计算机科学 2017-03-13 Christina Lioma , Niels Dalum Hansen

Compositional vector space models of meaning promise new solutions to stubborn language understanding problems. This paper makes two contributions toward this end: (i) it uses automatically-extracted paraphrase examples as a source of…

计算与语言 · 计算机科学 2018-02-01 Avneesh Saluja , Chris Dyer , Jean-David Ruvini

Under categorial grammars that have powerful rules like composition, a simple n-word sentence can have exponentially many parses. Generating all parses is inefficient and obscures whatever true semantic ambiguities are in the input. This…

cmp-lg · 计算机科学 2008-02-03 Jason Eisner

Compositionality is a key aspect of human intelligence, essential for reasoning and generalization. While transformer-based models have become the de facto standard for many language modeling tasks, little is known about how they represent…

计算与语言 · 计算机科学 2025-06-03 Aishik Nagar , Ishaan Singh Rawal , Mansi Dhanania , Cheston Tan

Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition. When simulating language emergence with neural networks, compositionality has been shown to…

计算与语言 · 计算机科学 2023-05-23 Emily Cheng , Mathieu Rita , Thierry Poibeau

Identifying the relations that exist between words (or entities) is important for various natural language processing tasks such as, relational search, noun-modifier classification and analogy detection. A popular approach to represent the…

计算与语言 · 计算机科学 2017-09-06 Huda Hakami , Danushka Bollegala

Compositionality, the phenomenon where the meaning of a phrase can be derived from its constituent parts, is a hallmark of human language. At the same time, many phrases are non-compositional, carrying a meaning beyond that of each part in…

计算与语言 · 计算机科学 2022-10-25 Emmy Liu , Graham Neubig

Bisimulation metric is a robust behavioural semantics for probabilistic processes. Given any SOS specification of probabilistic processes, we provide a method to compute for each operator of the language its respective metric…

编程语言 · 计算机科学 2014-08-08 Daniel Gebler , Simone Tini

This paper connects a vector-based composition model to a formal semantics, the Dependency-based Compositional Semantics (DCS). We show theoretical evidence that the vector compositions in our model conform to the logic of DCS.…

计算与语言 · 计算机科学 2016-06-09 Ran Tian , Naoaki Okazaki , Kentaro Inui

The categorical compositional approach to meaning has been successfully applied in natural language processing, outperforming other models in mainstream empirical language processing tasks. We show how this approach can be generalized to…

计算机科学中的逻辑 · 计算机科学 2017-10-02 Joe Bolt , Bob Coecke , Fabrizio Genovese , Martha Lewis , Dan Marsden , Robin Piedeleu

Systematic compositionality is the ability to recombine meaningful units with regular and predictable outcomes, and it's seen as key to humans' capacity for generalization in language. Recent work has studied systematic compositionality in…

计算与语言 · 计算机科学 2018-07-20 João Loula , Marco Baroni , Brenden M. Lake

Compositionality of denotational semantics is an important concern in programming semantics. Mathematical operational semantics in the sense of Turi and Plotkin guarantees compositionality, but seen from the point of view of stateful…

计算机科学中的逻辑 · 计算机科学 2022-05-12 Sergey Goncharov , Stefan Milius , Lutz Schröder , Stelios Tsampas , Henning Urbat

Due to the increased complexity of software development projects more and more systems are described by models. The sheer size makes it impractical to describe these systems by a single model. Instead many models are developed that provide…

软件工程 · 计算机科学 2014-09-24 Christoph Herrmann , Holger Krahn , Bernhard Rumpe , Martin Schindler , Steven Völkel

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…

计算与语言 · 计算机科学 2020-10-13 Najoung Kim , Tal Linzen

Compositional data (i.e., data comprising random variables that sum up to a constant) arises in many applications including microbiome studies, chemical ecology, political science, and experimental designs. Yet when compositional data serve…

统计方法学 · 统计学 2025-01-03 Ritwik Bhaduri , Siyuan Ma , Lucas Janson