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A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions.

, , и . ALTA, стр. 71-76. (2018)

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Bahar Salehi-Allameh

Jila Salehi

Bahar Haghanipour

Kayvan Baharmast

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UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures., , , , , и . SemEval@NAACL-HLT, стр. 851-856. The Association for Computer Linguistics, (2016)UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity., , , , , и . *SEM@NAACL-HLT, стр. 207-215. Association for Computational Linguistics, (2013)Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality., , и . EACL, стр. 472-481. The Association for Computer Linguistics, (2014)A Joint Model for Multimodal Document Quality Assessment., , , и . JCDL, стр. 107-110. IEEE, (2019)Feature-guided Neural Model Training for Supervised Document Representation Learning., , , и . ALTA, стр. 47-51. Australasian Language Technology Association, (2019)Determining the Multiword Expression Inventory of a Surprise Language., , и . COLING, стр. 471-481. ACL, (2016)Huntsville, hospitals, and hockey teams: Names can reveal your location., , , и . NUT@EMNLP, стр. 116-121. Association for Computational Linguistics, (2017)Multitask Learning for Query Segmentation in Job Search., , , и . ICTIR, стр. 179-182. ACM, (2018)Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features., , и . SemEval@NAACL-HLT, стр. 133-137. The Association for Computer Linguistics, (2013)Modelling Uncertainty in Collaborative Document Quality Assessment., , , , и . W-NUT@EMNLP, стр. 191-201. Association for Computational Linguistics, (2019)