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1
Is Information Density Uniform in Task-Oriented Dialogues? ...
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2
Analysing Human Strategies of Information Transmission as a Function of Discourse Context ...
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3
Grammatical Profiling for Semantic Change Detection ...
Abstract: Semantics, morphology and syntax are strongly interdependent. However, the majority of computational methods for semantic change detection use distributional word representations which encode mostly semantics. We investigate an alternative method, grammatical profiling, based entirely on changes in the morphosyntactic behaviour of words. We demonstrate that it can be used for semantic change detection and even outperforms some distributional semantic methods. We present an in-depth qualitative and quantitative analysis of the predictions made by our grammatical profiling system, showing that they are plausible and interpretable. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/39878-grammatical-profiling-for-semantic-change-detection
https://dx.doi.org/10.48448/n4zt-6h91
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4
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts ...
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5
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection ...
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6
Analysing Lexical Semantic Change with Contextualised Word Representations ...
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7
DUPS: Diachronic Usage Pair Similarity ...
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8
DUPS: Diachronic Usage Pair Similarity ...
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9
DUPS: Diachronic Usage Pair Similarity ...
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10
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information ...
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11
Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings ...
Giulianelli, Mario. - : arXiv, 2017
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