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The (too Many) Problems of Analogical Reasoning with Word Vectors., , and . *SEM, page 135-148. Association for Computational Linguistics, (2017)AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search., , , , , , , , , and . IJCAI, page 2463-2469. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks., , , , , and . WSDM, page 1038-1046. ACM, (2021)Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis., , , , and . Data Sci. Eng., 2 (4): 346 (2017)Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings., , , , , , and . EMNLP, page 2421-2431. Association for Computational Linguistics, (2017)A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce., , , , , , and . KDD, page 3405-3415. ACM, (2020)Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews., , , , and . CoRR, (2015)Cluster-Driven Model for Improved Word and Text Embedding., , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 99-106. IOS Press, (2016)Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification., , , , and . COLING, page 1591-1600. ACL, (2016)Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics., , , , and . EMNLP, page 244-253. Association for Computational Linguistics, (2017)