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Understanding the effects of negative (and positive) pointwise mutual information on word vectors
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Assessing idiomaticity representations in vector models with a noun compound dataset labeled at type and token levels
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AStitchInLanguageModels : dataset and methods for the exploration of idiomaticity in pre-trained language models
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CogNLP-Sheffield at CMCL 2021 Shared Task: Blending cognitively inspired features with transformer-based language models for predicting eye tracking patterns
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Investigating language impact in bilingual approaches for computational language documentation
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Unsupervised compositionality prediction of nominal compounds
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A dual-attention hierarchical recurrent neural network for dialogue act classification
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When the whole is greater than the sum of its parts : multiword expressions and idiomaticity
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Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
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Empirical evaluation of sequence-to-sequence models for word discovery in low-resource settings
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Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
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Abstract:
Semantic Verbal Fluency tests have been used in the detection of certain clinical conditions, like Dementia. In particular, given a sequence of semantically related words, a large number of switches from one semantic class to another has been linked to clinical conditions. In this work, we investigate three similarity measures for automatically identifying switches in semantic chains: semantic similarity from a manually constructed resource, and word association strength and semantic relatedness, both calculated from corpora. This information is used for building classifiers to distinguish healthy controls from clinical cases with early stages of Alzheimer’s Disease and Mild Cognitive Deficits. The overall results indicate that for clinical conditions the classifiers that use these similarity measures outperform those that use a gold standard taxonomy.
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URL: http://eprints.whiterose.ac.uk/153556/
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A corpus study of verbal multiword expressions in Brazilian Portuguese
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Unwritten languages demand attention too! Word discovery with encoder-decoder models
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Restricted recurrent neural tensor networks: Exploiting word frequency and compositionality
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UFRGS&LIF at SemEval-2016 task 10: Rule-based MWE identification and predominant-supersense tagging
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How naked is the naked truth? A multilingual lexicon of nominal compound compositionality
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