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ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures.

, , and . SemEval@NAACL-HLT, page 118-123. The Association for Computer Linguistics, (2013)

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Text Representations for Text Categorization: A Case Study in Biomedical Domain., , , and . IJCNN, page 2557-2562. IEEE, (2007)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)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)ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models., , and . SemEval@ACL, page 491-496. Association for Computational Linguistics, (2017)ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task., , , and . SemEval@ACL, page 365-369. Association for Computational Linguistics, (2017)ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention., , and . SemEval@COLING, page 995-1000. International Committee for Computational Linguistics, (2020)Relational Reflection Entity Alignment., , , , and . CIKM, page 1095-1104. ACM, (2020)ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation., and . SemEval@COLING, page 265-270. The Association for Computer Linguistics, (2014)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)