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200 papers

The social and implicit nature of human communication ramifies readers' understandings of written sentences. Single gold-standard interpretations rarely exist, challenging conventional assumptions in natural language processing. This work…

Computation and Language · Computer Science 2023-12-08 Liesbeth Allein , Maria Mihaela Truşcǎ , Marie-Francine Moens

We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a grammar formalism and a framework for synthesizing data, our…

Computation and Language · Computer Science 2024-05-09 Canaan Breiss , Alexis Ross , Amani Maina-Kilaas , Roger Levy , Jacob Andreas

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…

Logic in Computer Science · Computer Science 2017-10-02 Joe Bolt , Bob Coecke , Fabrizio Genovese , Martha Lewis , Dan Marsden , Robin Piedeleu

We provide a direct method for proving Craig interpolation for a range of modal and intuitionistic logics, including those containing a "converse" modality. We demonstrate this method for classical tense logic, its extensions with path…

Logic in Computer Science · Computer Science 2023-06-16 Tim Lyon , Alwen Tiu , Rajeev Goré , Ranald Clouston

The Grammar of Institutions, or Institutional Grammar, is an established approach to encode policy information in terms of institutional statements based on a set of pre-defined syntactic components. This codebook provides coding guidelines…

Multiagent Systems · Computer Science 2024-10-22 Christopher K. Frantz , Saba N. Siddiki

I propose a novel Ising-like model of language evolution. In a simple way, Ising-like models represent the countervailing tendencies towards convergence and change present in language evolution. In the ordinary Ising-model, a node on a…

Multiagent Systems · Computer Science 2023-05-24 Conor Houghton

Machine Learning (ML) has emerged as a powerful form of data modelling with widespread applicability beyond its roots in the design of autonomous agents. However, relatively little attention has been paid to the interaction between people…

Artificial Intelligence · Computer Science 2024-10-29 A. Baskar , Ashwin Srinivasan , Michael Bain , Enrico Coiera

An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic similarity…

Computation and Language · Computer Science 2023-05-24 Haotian Ye , Yihong Liu , Hinrich Schütze

Syntactic parsing is a necessary task which is required for NLP applications including machine translation. It is a challenging task to develop a qualitative parser for morphological rich and agglutinative languages. Syntactic analysis is…

Computation and Language · Computer Science 2015-01-29 Monika T. Makwana , Deepak C. Vegda

Taking an interaction network oriented perspective in informatics raises the challenge to describe deterministic finite systems which take part in networks of nondeterministic interactions. The traditional approach to describe processes as…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-02-22 Johannes Reich

Various concepts of grammatical compositionality arise in many theories of both natural and artificial languages, and often play a key role in accounts of the syntax-semantics interface. We propose that many instances of compositionality…

Computation and Language · Computer Science 2022-01-17 Norman E. Trushaev

Human languages use a wide range of grammatical categories to constrain which words or phrases can fill certain slots in grammatical patterns and to express additional meanings, such as tense or aspect, through morpho-syntactic means. These…

Computation and Language · Computer Science 2022-04-22 Luc Steels , Paul Van Eecke , Katrien Beuls

We develop a natural language interface for human robot interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular…

Artificial Intelligence · Computer Science 2016-04-25 Manfred Eppe , Sean Trott , Jerome Feldman

We describe a novel language-independent approach to the task of determining the polarity, positive or negative, of the author's opinion on a specific topic in natural language text. In particular, weights are assigned to attributes,…

Computation and Language · Computer Science 2019-12-02 Veselin Raychev , Preslav Nakov

The hyperedge replacement grammar (HRG) formalism is a natural and well-known generalization of context-free grammars. HRGs inherit a number of properties of context-free grammars, e.g. the pumping lemma. This lemma turns out to be a strong…

Formal Languages and Automata Theory · Computer Science 2021-12-22 Tikhon Pshenitsyn

Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems. We take an initial step toward machine generation of slang by developing a…

Computation and Language · Computer Science 2021-05-25 Zhewei Sun , Richard Zemel , Yang Xu

"Interaction trees" (ITrees) are a general-purpose data structure for representing the behaviors of recursive programs that interact with their environments. A coinductive variant of "free monads," ITrees are built out of uninterpreted…

Programming Languages · Computer Science 2019-11-18 Li-yao Xia , Yannick Zakowski , Paul He , Chung-Kil Hur , Gregory Malecha , Benjamin C. Pierce , Steve Zdancewic

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…

Computation and Language · Computer Science 2023-03-10 Loe Feijs

The iterated learning model simulates the transmission of language from generation to generation in order to explore how the constraints imposed by language transmission facilitate the emergence of language structure. Despite each modelled…

Computation and Language · Computer Science 2026-01-07 Hyoyeon Lee , Seth Bullock , Conor Houghton

In this paper, we consider the syntactic properties of languages emerged in referential games, using unsupervised grammar induction (UGI) techniques originally designed to analyse natural language. We show that the considered UGI techniques…

Computation and Language · Computer Science 2020-10-12 Oskar van der Wal , Silvan de Boer , Elia Bruni , Dieuwke Hupkes