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A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314244 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩ (2019)
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Modelling the Semantic Change Dynamics using Diachronic Word Embedding
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In: 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session) ; https://hal.archives-ouvertes.fr/hal-02048377 ; 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session), Feb 2019, Prague, Czech Republic (2019)
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Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings ...
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SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
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Cross-lingual embeddings for hate speech detection in comments ...
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Cross-lingual embeddings for hate speech detection in comments ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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Semantic Frame Embeddings for Detecting Relations between Software Requirements ...
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Multilabel text classification of public procurements using deep learning intent detection ; Textklassificering av offentliga upphandlingar med djupa artificiella neuronnät och avsåtsdetektering
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11 |
Word Sense Disambiguation Using Cosine Similarity Collaborates with Word2vec and WordNet
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In: Future Internet ; Volume 11 ; Issue 5 (2019)
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Sentiment-Aware Word Embedding for Emotion Classification
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In: Applied Sciences ; Volume 9 ; Issue 7 (2019)
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An Improved Word Representation for Deep Learning Based NER in Indian Languages
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In: Information ; Volume 10 ; Issue 6 (2019)
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Learning Subword Embedding to Improve Uyghur Named-Entity Recognition
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In: Information ; Volume 10 ; Issue 4 (2019)
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Detection of Suicide Ideation in Social Media Forums Using Deep Learning
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In: Algorithms ; Volume 13 ; Issue 1 (2019)
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Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
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In: Information ; Volume 11 ; Issue 1 (2019)
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LEARNING CROSS-LINGUAL WORD EMBEDDINGS WITH UNIVERSAL CONCEPTS ...
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LEARNING CROSS-LINGUAL WORD EMBEDDINGS WITH UNIVERSAL CONCEPTS ...
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LEARNING CROSS-LINGUAL WORD EMBEDDINGS WITH UNIVERSAL CONCEPTS ...
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LEARNING CROSS-LINGUAL WORD EMBEDDINGS WITH UNIVERSAL CONCEPTS ...
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