ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity

Junfeng Tian, Man Lan


Anthology ID:
S16-1094
Volume:
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Month:
June
Year:
2016
Address:
San Diego, California
Venues:
SemEval | *SEM
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
621–627
Language:
URL:
https://aclanthology.org/S16-1094
DOI:
10.18653/v1/S16-1094
Bibkey:
Cite (ACL):
Junfeng Tian and Man Lan. 2016. ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 621–627, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity (Tian & Lan, SemEval-*SEM 2016)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/S16-1094.pdf