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

doi:10.18653/v1/S16-1094

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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Anthology ID:: S16-1094
Volume:: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Month:: June
Year:: 2016
Address:: San Diego, California
Editors:: Steven Bethard, Marine Carpuat, Daniel Cer, David Jurgens, Preslav Nakov, Torsten Zesch
Venue:: SemEval
SIGs:: SIGSEM | SIGLEX
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 2016)
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PDF:: https://aclanthology.org/S16-1094.pdf

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@inproceedings{tian-lan-2016-ecnu,
    title = "{ECNU} at {S}em{E}val-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity",
    author = "Tian, Junfeng  and
      Lan, Man",
    editor = "Bethard, Steven  and
      Carpuat, Marine  and
      Cer, Daniel  and
      Jurgens, David  and
      Nakov, Preslav  and
      Zesch, Torsten",
    booktitle = "Proceedings of the 10th International Workshop on Semantic Evaluation ({S}em{E}val-2016)",
    month = jun,
    year = "2016",
    address = "San Diego, California",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S16-1094/",
    doi = "10.18653/v1/S16-1094",
    pages = "621--627"
}

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%0 Conference Proceedings
%T ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
%A Tian, Junfeng
%A Lan, Man
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Cer, Daniel
%Y Jurgens, David
%Y Nakov, Preslav
%Y Zesch, Torsten
%S Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F tian-lan-2016-ecnu
%R 10.18653/v1/S16-1094
%U https://aclanthology.org/S16-1094/
%U https://doi.org/10.18653/v1/S16-1094
%P 621-627

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Markdown (Informal)

[ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity](https://aclanthology.org/S16-1094/) (Tian & Lan, SemEval 2016)

ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity (Tian & Lan, SemEval 2016)

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.