Results 1 to 10 of about 1,097 (144)
Models of Language and Multiword Expressions. [PDF]
Front Artif Intell, 2022 Traditional accounts of language postulate two basic components: words stored in a lexicon, and rules that govern how they can be combined into meaningful sentences, a grammar. But, although this words-and-rules framework has proven itself to be useful in natural language processing and cognitive science, it has also shown important shortcomings when ...
Contreras Kallens P, Christiansen MH.
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Muddying The Multiword Expression Waters: How Cognitive Demand Affects Multiword Expression Production [PDF]
Proceedings of the 11th Workshop on Multiword Expressions, 2015 Multiword expressions (MWEs) are vexing for linguists, psycholinguists and computational linguists, as they are hard to define, detect and parse. However, previous studies have not taken into account the cognitive constraints under which MWEs are produced or comprehended. We present a new modality for studying MWEs, keystroke dynamics.
Adam Goodkind, Andrew Rosenberg
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Games on Multiword Expressions for Community Building
Infotheca, 2017 In this paper we present games focusing on multiword expressions (MWEs) word combinations that exhibit unexpected lexical, syntactic, semantic, pragmatic and/or statistical properties. These games were based on a multilingual collection of MWEs contributed by the members of a scientic network specialized in natural language processing.
Cvetana Krstev, Agata Savary
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CCG Parsing and Multiword Expressions [PDF]
, 2015 This thesis presents a study about the integration of information about Multiword Expressions (MWEs) into parsing with Combinatory Categorial Grammar (CCG). We build on previous work which has shown the benefit of adding information about MWEs to syntactic parsing by implementing a similar pipeline with CCG parsing.
Miryam de Lhoneux
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Discovering multiword expressions [PDF]
Natural Language Engineering, 2019 AbstractIn this paper, we provide an overview of research on multiword expressions (MWEs), from a natural language processing perspective. We examine methods developed for modelling MWEs that capture some of their linguistic properties, discussing their use for MWE discovery and for idiomaticity detection.
Villavicencio, A., Idiart, M.
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Multiword Expression Processing: A Survey [PDF]
Computational Linguistics, 2017 Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries that are both idiosyncratic and pervasive across different languages. The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs. The issue of MWE handling is crucial for
Constant, Mathieu +6 more
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Semantics-based multiword expression extraction [PDF]
Proceedings of the Workshop on a Broader Perspective on Multiword Expressions - MWE '07, 2007 This paper describes a fully unsupervised and automated method for large-scale extraction of multiword expressions (MWEs) from large corpora. The method aims at capturing the non-compositionality of mwes; the intuition is that a noun within a mwe cannot easily be replaced by a semantically similar noun. To implement this intuition, a noun clustering is
Van de Cruys, T., Villada Moiron, M.B.
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Identifying variants of multiword expressions
, 2018 Caroline Pasquer +3 more
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MultiWord Expression Aware Neural Machine Translation
Proceedings of The 12th Language Resources and Evaluation Conference, 2020 Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all natural languages that is of great importance to linguistic theory, natural language processing applications, and machine translation systems. Neural Machine Translation (NMT) architectures do not handle these expression well and previous studies have not explicitly ...
Zaninello, Andrea, Birch, Alexandra
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Neural Lemmatization of Multiword Expressions [PDF]
Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), 2019 This article focuses on the lemmatization of multiword expressions (MWEs). We propose a deep encoder-decoder architecture generating for every MWE word its corresponding part in the lemma, based on the internal context of the MWE. The encoder relies on recurrent networks based on (1) the character sequence of the individual words to capture their ...
Schmitt, Marine, Constant, Mathieu
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