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Determining the Multiword Expression Inventory of a Surprise Language.

, , и . COLING, стр. 471-481. ACL, (2016)

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Bahar Salehi-Allameh

Jila Salehi

Bahar Haghanipour

Kayvan Baharmast

Aida Baharuddin

 

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Modelling Uncertainty in Collaborative Document Quality Assessment., , , , и . W-NUT@EMNLP, стр. 191-201. Association for Computational Linguistics, (2019)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)Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages., и . *SEM@NAACL-HLT, стр. 266-275. Association for Computational Linguistics, (2013)Differences in language use: Insights from job and talent search., , и . ADCS, стр. 3:1-3:4. ACM, (2019)Evaluating Document Coherence Modelling., , , , , и . CoRR, (2021)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)Feature-guided Neural Model Training for Supervised Document Representation Learning., , , и . ALTA, стр. 47-51. Australasian Language Technology Association, (2019)A Joint Model for Multimodal Document Quality Assessment., , , и . JCDL, стр. 107-110. IEEE, (2019)