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ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
Research article (Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016) · cited 11× · AI/ML
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
Summary
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity is a scholarly article[1].
Key Facts
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity. Retrieved May 24, 2026, from https://4ort.xyz/entity/ecnu-at-semeval-2016-task-1-leveraging-word-embedding-from-macro-and-micro-views-to-boost-performance-for-semantic-textu
MLA“ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ecnu-at-semeval-2016-task-1-leveraging-word-embedding-from-macro-and-micro-views-to-boost-performance-for-semantic-textu.
BibTeX@misc{4ortxyz_ecnu-at-semeval-2016-task-1-leveraging-word-embedding-from-macro-and-micro-views-to-boost-performance-for-semantic-textu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity}}, year = {2026}, url = {https://4ort.xyz/entity/ecnu-at-semeval-2016-task-1-leveraging-word-embedding-from-macro-and-micro-views-to-boost-performance-for-semantic-textu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity — https://4ort.xyz/entity/ecnu-at-semeval-2016-task-1-leveraging-word-embedding-from-macro-and-micro-views-to-boost-performance-for-semantic-textu (retrieved 2026-05-24)
