ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
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Feature EngineeringMachine TranslationNatural Language InferenceQuestion AnsweringSemantic Textual SimilarityText SummarizationWord AlignmentSimilar Papers 제목 키워드 기반
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
2016-06-01 · SEMEVAL 2016 6
· Yunxiao Zhou, Zhihua Zhang, Man Lan
Feature EngineeringLanguage ModelingLanguage ModellingSentence+1
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection
2018-06-01 · SEMEVAL 2018 6
· Yunxiao Zhou, Man Lan, Yuanbin Wu
This paper describes the system we submitted to Task 10 (Capturing Discriminative Attributes) in SemEval 2018. Given a triple (word1, word2, attribute), this task is to predict whether it exemplifies a semantic differenc…
AttributeBIG-bench Machine LearningFeature EngineeringMachine Translation+2ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
2017-08-01 · SEMEVAL 2017 8
· Yunxiao Zhou, Man Lan, Yuanbin Wu
This paper reports our submission to subtask A of task 4 (Sentiment Analysis in Twitter, SAT) in SemEval 2017, i.e., Message Polarity Classification. We investigated several traditional Natural Language Processing (NLP) …
BIG-bench Machine LearningFeature EngineeringGeneral ClassificationLemmatization+2ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
2020-07-28 · SEMEVAL 2020
· Qian Zhao, Siyu Tao, Jie zhou, LinLin Wang 외
This paper describes our system for SemEval-2020 Task 4: Commonsense Validation and Explanation (Wang et al., 2020). We propose a novel Knowledge-enhanced Graph Attention Network (KEGAT) architecture for this task, lever…
Data AugmentationGraph AttentionECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
2015-06-01 · SEMEVAL 2015 6
· Jiang Zhao, Man Lan
Machine TranslationNatural Language InferenceQuestion AnsweringSemantic Textual Similarity+1