Titlebook: Natural Language Processing and Chinese Computing; 9th CCF Internationa Xiaodan Zhu,Min Zhang,Ruifang He Conference proceedings 2020 Spring

補給線

書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)




書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)學科排名




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡公開度




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡公開度學科排名




書目名稱Natural Language Processing and Chinese Computing被引頻次




書目名稱Natural Language Processing and Chinese Computing被引頻次學科排名




書目名稱Natural Language Processing and Chinese Computing年度引用




書目名稱Natural Language Processing and Chinese Computing年度引用學科排名




書目名稱Natural Language Processing and Chinese Computing讀者反饋




書目名稱Natural Language Processing and Chinese Computing讀者反饋學科排名

Coronation

0302-9743 wledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics..978-3-030-60449-3978-3-030-60450-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

Harness

Deep Hierarchical Attention Flow for Visual Commonsense Reasoninge conducted to evaluate the proposed model. Empirical results on the benchmark VCR1.0 show that the proposed model outperforms existing strong baselines, which demonstrates the effectiveness of our method.

promote

Dynamic Reasoning Network for Multi-hop Question Answeringan entity graph with graph attention (GAT) and the query reshaping mechanism to promote its ability of comprehension and reasoning. The experimental results on the HotpotQA and TriviaQA datasets show that our DRN model achieves significant improvements as compared to prior state-of-the-art models.

Accrue

粗野

Immunization

CHANT

NER in Threat Intelligence Domain with TSFLing and sorted focal loss function, to solve the problem of unbalanced distribution of data labels. Experiments show that named entity recognition experiments show that F1 value have improved in both public domain datasets and threat intelligence.

Assault

Enhancing the Numeracy of Word Embeddings: A Linear Algebraic Perspectiver or subspace, the magnitude information could be significantly enhanced. Therefore, this paper proposes a new angle to study numeracy of word embeddings, which is interpretable and has nice mathematical formulations.

混沌