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CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence.

, , , , , , , and . IJCNN, page 1702-1707. IEEE Computer Society, (2009)

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Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment., , and . IJCNN, page 1-8. IEEE, (2019)Relational Reflection Entity Alignment., , , , and . CIKM, page 1095-1104. ACM, (2020)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)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-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-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-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)