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Path Planning of AUV for Obstacle Avoidance with Improved Artificial Potential Field., , , , , и . IECON, стр. 1-5. IEEE, (2023)Measuring the Semantic Relevance between Term and Short Text: Using the Concepts of Shortest Path Length and Relatively Important Community., , , , и . CLSW, том 7717 из Lecture Notes in Computer Science, стр. 251-258. Springer, (2012)Rapid Increase of the Weighted Shortest Path Length in Key Term Concurrence Network and Its Origin., , , , и . CLSW, том 7717 из Lecture Notes in Computer Science, стр. 259-267. Springer, (2012)Complex Query Expansion Based on Weighted Shortest Path Length in Key Term Concurrence Network., , , и . CLSW, том 8229 из Lecture Notes in Computer Science, стр. 499-507. Springer, (2013)Word Sense Induction Using Lexical Chain based Hypergraph Model., , , , и . COLING, стр. 1601-1611. ACL, (2014)Study of the natural vortex length of a cyclone with response surface methodology., и . Comput. Chem. Eng., 29 (10): 2155-2162 (2005)Discourse Coherence: Lexical Chain, Complex Network and Semantic Field., , , , и . CLSW, том 7717 из Lecture Notes in Computer Science, стр. 756-765. Springer, (2012)Scale-Free Distribution in Chinese Semantic Field Network: A Main Cause of Using the Shortest Path Length for Representing Semantic Distance Between Terms., , , и . CLSW, том 8922 из Lecture Notes in Computer Science, стр. 296-304. Springer, (2014)Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach., , , и . CoNLL Shared Task, стр. 97-102. ACL, (2009)978-1-932432-29-9.Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model., , , , и . Inf. Process. Manag., 58 (5): 102641 (2021)