Add to ORKGIn this ablation study we observed whether the abstractness and ambiguity of idioms constitute key factors for a Neural Network when classifying idioms vs literals. For 174 Italian idioms and literals, we collected concreteness and ambiguity judgments and extracted Word2vec and fastText vectors from itWaC. The dataset was split into 5 random training and test sets. We trained a NN on the entire training sets, after removing the most concrete literals and most abstract idioms and after removing the most ambiguous idioms. F1 decreased considerably when flattening concreteness. The results were replicated on an English dataset from the COCA corpus
In this exploratory study, we investigated whether and to what extent individual differences in cogn...
Neural Machine Translation (NMT) has been widely used in recent years with significant improvements ...
Over the years, the original conception of idioms as semantically empty and formally frozen units (B...
To date, Neural Networks (NNs) have been employed to carry out the automatic classification of vario...
In this work we explore the possibility of training a neural network to classify and rank idiomati...
The present work aims at automatically classifying Italian idiomatic and non-idiomatic phrases with ...
An idiom is a multiword expression (MWE) whose meaning is non- compositional, i.e., the meaning of t...
Online First Publication, January 9, 2017We investigated the extent to which the literal meanings of...
We investigated the extent to which the literal meanings of the words forming literally-plausible id...
It is widely accepted that the meanings and the forms of Multi Word Expressions (MWEs) are stored in...
Idioms are strings of words whose figurative meaning does not necessarily derive from that of the co...
Deep neural models, in particular Transformer-based pre-trained language models, require a significa...
Language comprehension involves activating word meanings and integrating them with the sentence cont...
Deep neural models, in particular Transformer-based pre-trained language models, require a significa...
Expressions can be ambiguous between idiomatic and literal interpretation depending on the context t...
In this exploratory study, we investigated whether and to what extent individual differences in cogn...
Neural Machine Translation (NMT) has been widely used in recent years with significant improvements ...
Over the years, the original conception of idioms as semantically empty and formally frozen units (B...
To date, Neural Networks (NNs) have been employed to carry out the automatic classification of vario...
In this work we explore the possibility of training a neural network to classify and rank idiomati...
The present work aims at automatically classifying Italian idiomatic and non-idiomatic phrases with ...
An idiom is a multiword expression (MWE) whose meaning is non- compositional, i.e., the meaning of t...
Online First Publication, January 9, 2017We investigated the extent to which the literal meanings of...
We investigated the extent to which the literal meanings of the words forming literally-plausible id...
It is widely accepted that the meanings and the forms of Multi Word Expressions (MWEs) are stored in...
Idioms are strings of words whose figurative meaning does not necessarily derive from that of the co...
Deep neural models, in particular Transformer-based pre-trained language models, require a significa...
Language comprehension involves activating word meanings and integrating them with the sentence cont...
Deep neural models, in particular Transformer-based pre-trained language models, require a significa...
Expressions can be ambiguous between idiomatic and literal interpretation depending on the context t...
In this exploratory study, we investigated whether and to what extent individual differences in cogn...
Neural Machine Translation (NMT) has been widely used in recent years with significant improvements ...
Over the years, the original conception of idioms as semantically empty and formally frozen units (B...