Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science
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9783319995007, 9783319995014

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Construction of a Multi-dimensional Vectorized Affective Lexicon

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_28 ◽

2018 ◽

pp. 319-329 ◽

Cited By ~ 1

Author(s):

Yang Wang ◽

Chong Feng ◽

Qian Liu

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NLPCC 2018 Shared Task User Profiling and Recommendation Method Summary by DUTIR_9148

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_38 ◽

2018 ◽

pp. 420-428

Author(s):

Xiaoyu Chen ◽

Jian Wang ◽

Yuqi Ren ◽

Tong Liu ◽

Hongfei Lin

Keyword(s):

User Profiling ◽

Shared Task

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Overview of the NLPCC 2018 Shared Task: Social Media User Modeling

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_45 ◽

2018 ◽

pp. 464-467

Author(s):

Fuzheng Zhang ◽

Xing Xie

Keyword(s):

Social Media ◽

User Modeling ◽

Shared Task

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Overview of the NLPCC 2018 Shared Task: Single Document Summarization

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_44 ◽

2018 ◽

pp. 457-463

Author(s):

Lei Li ◽

Xiaojun Wan

Keyword(s):

Shared Task ◽

Document Summarization

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WiseTag: An Ensemble Method for Multi-label Topic Classification

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_47 ◽

2018 ◽

pp. 479-489

Author(s):

Guanqing Liang ◽

Hsiaohsien Kao ◽

Cane Wing-Ki Leung ◽

Chao He

Keyword(s):

Ensemble Method

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A Comparable Study on Model Averaging, Ensembling and Reranking in NMT

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_26 ◽

2018 ◽

pp. 299-308 ◽

Cited By ~ 2

Author(s):

Yuchen Liu ◽

Long Zhou ◽

Yining Wang ◽

Yang Zhao ◽

Jiajun Zhang ◽

...

Keyword(s):

Model Averaging

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Cross-Scenario Inference Based Event-Event Relation Detection

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_22 ◽

2018 ◽

pp. 257-267 ◽

Cited By ~ 1

Author(s):

Yu Hong ◽

Jingli Zhang ◽

Rui Song ◽

Jianmin Yao

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Improved Character-Based Chinese Dependency Parsing by Using Stack-Tree LSTM

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_17 ◽

2018 ◽

pp. 203-212 ◽

Cited By ~ 1

Author(s):

Hang Liu ◽

Mingtong Liu ◽

Yujie Zhang ◽

Jinan Xu ◽

Yufeng Chen

Keyword(s):

Dependency Parsing

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A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_34 ◽

2018 ◽

pp. 383-392 ◽

Cited By ~ 2

Author(s):

Yunsheng Shi ◽

Jun Meng ◽

Jian Wang ◽

Hongfei Lin ◽

Yumeng Li

Keyword(s):

Abstractive Summarization

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Employing Multiple Decomposable Attention Networks to Resolve Event Coreference

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99501-4_21 ◽

2018 ◽

pp. 246-256 ◽

Cited By ~ 1

Author(s):

Jie Fang ◽

Peifeng Li ◽

Guodong Zhou

Keyword(s):

Attention Networks

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Natural Language Processing and Chinese Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Construction of a Multi-dimensional Vectorized Affective Lexicon

NLPCC 2018 Shared Task User Profiling and Recommendation Method Summary by DUTIR_9148

Overview of the NLPCC 2018 Shared Task: Social Media User Modeling

Overview of the NLPCC 2018 Shared Task: Single Document Summarization

WiseTag: An Ensemble Method for Multi-label Topic Classification

A Comparable Study on Model Averaging, Ensembling and Reranking in NMT

Cross-Scenario Inference Based Event-Event Relation Detection

Improved Character-Based Chinese Dependency Parsing by Using Stack-Tree LSTM

A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss

Employing Multiple Decomposable Attention Networks to Resolve Event Coreference

Natural Language Processing and Chinese Computing - Lecture Notes in Computer Science
Latest Publications