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Deriving Disinformation Insights from Geolocalized Twitter Callouts ...
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XLM-T: A Multilingual Language Model Toolkit for Twitter ...
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Distilling Relation Embeddings from Pre-trained Language Models ...
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Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction ...
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Modelling general properties of nouns by selectively averaging contextualised embeddings
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BERT is to NLP what AlexNet is to CV: can pre-trained language models identify analogies?
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Back to the basics: a quantitative analysis of statistical and graph-based term weighting schemes for keyword extraction
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XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization ...
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Learning Cross-Lingual Word Embeddings from Twitter via Distant Supervision
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 72-82 ; 2334-0770 ; 2162-3449 (2020)
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Analysis and Evaluation of Language Models for Word Sense Disambiguation ...
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Understanding the source of semantic regularities in word embeddings
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Learning cross-lingual word embeddings from Twitter via distant supervision
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Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings ...
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On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning ...
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SenseDefs: a multilingual corpus of semantically annotated textual definitions : Exploiting multiple languages and resources jointly for high-quality Word Sense Disambiguation and Entity Linking [<Journal>]
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DNB Subject Category Language
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Improving Cross-Lingual Word Embeddings by Meeting in the Middle ...
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The Interplay between Lexical Resources and Natural Language Processing ...
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning ...
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