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Recognizing cross-lingual textual entailment with co-training using similarity and difference views.

, , , and . IJCNN, page 3705-3712. IEEE, (2014)

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Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment., , and . IJCNN, page 1-8. IEEE, (2019)Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space., , , , , , and . CoRR, (2024)Text Representations for Text Categorization: A Case Study in Biomedical Domain., , , and . IJCNN, page 2557-2562. IEEE, (2007)ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models., , and . SemEval@NAACL-HLT, page 231-235. Association for Computational Linguistics, (2018)ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task., , and . SemEval@NAACL-HLT, page 1048-1052. Association for Computational Linguistics, (2018)ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection., , and . SemEval@NAACL-HLT, page 999-1002. Association for Computational Linguistics, (2018)ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter., and . SemEval@NAACL-HLT, page 34-39. The Association for Computer Linguistics, (2015)ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter., , and . SemEval@NAACL-HLT, page 256-261. The Association for Computer Linguistics, (2016)Relational Reflection Entity Alignment., , , , and . CIKM, page 1095-1104. ACM, (2020)HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets., and . WASSA@EMNLP, page 205-210. Association for Computational Linguistics, (2018)