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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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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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15 |
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
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16 |
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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20 |
How naked is the naked truth? A multilingual lexicon of nominal compound compositionality
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