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Generating an Overview Report over Many Documents.

, , , , , и . CoRR, (2019)

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Liqun Xia

Liqun Ren

Liqun Liu

Liqun Gu

Liqun He

 

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Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation., , , , , , и . CoRR, (2020)Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter., , , , , , и . ER (Workshops), том 12584 из Lecture Notes in Computer Science, стр. 35-45. Springer, (2020)Generating an Overview Report over Many Documents., , , , , и . CoRR, (2019)DTATG: An Automatic Title Generator based on Dependency Trees., и . CoRR, (2017)Efficient and Effective Single-Document Summarizations and a Word-Embedding Measurement of Quality., , , и . KDIR, стр. 114-122. SciTePress, (2017)Robust Single-Document Summarizations and a Semantic Measurement of Quality., , и . IC3K, том 976 из Communications in Computer and Information Science, стр. 118-138. Springer, (2017)An Effective Scheme for Generating An Overview Report over A Very Large Corpus of Documents., , , , , и . DocEng, стр. 18:1-18:11. ACM, (2019)DTATG: An Automatic Title Generator based on Dependency Trees., и . KDIR, стр. 166-173. SciTePress, (2016)Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms., , , , , , , , , и 2 other автор(ы). SoCC, стр. 441-452. ACM, (2019)Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models., , , , , , , , и . ACL (Findings), стр. 1762-1773. Association for Computational Linguistics, (2023)