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This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.
This book presents an East-West dialogue of leading translation scholars responding to and developing Martha Cheung’s "pushing-hands" method of translation studies. Pushing-hands was an idea Martha began exploring in the last four years of her life, and only had time to publish at article length in 2012. The concept of pushing-hands suggests a promising line of inquiry into the problem of conflict in translation. Pushing-hands opens a new vista for translation scholars to understand and explain how to develop an awareness of non-confrontational, alternative ways to handle translation problems or problems related to translation activities that are likely to give rise to tension and conflict. The book is a timely contribution to celebrate Martha's work and also to move the conversation forward. Despite being somewhat tentative and experimental, it probes into how to enable and develop dynamic interaction between and reciprocal determinism of different hands involved in the process of translation.
The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Ad...
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
This book interprets the close intimacy between poetry and painting from the perspective of intersemiotic translation, by providing a systematic examination of the bilingual and visual representation of landscape in the poetry of Wang Wei, a high Tang poet who won worldwide reputation. The author’s subtle analysis ranges from epistemological issues of language philosophy and poetry translation to the very depths where the later Heidegger and Tao-oriented Chinese wisdom can co-work to reveal their ontological inter-rootedness through a two-level cognitive-stylisitc research methodology.
This book constitutes the refereed proceedings of the First International Conference on Big Data and Security, ICBDS 2019, held in Nanjing, China, in December 2019. The 37 revised full papers and 12 short papers were carefully reviewed and selected out of 251 submissions. The papers included in this book cover topics in cybersecurity & privacy, big data, blockchain & internet of things, security in cloud and fog computing, and artificial intelligence/ machine learning security.
Neurological disorders, such as Alzheimer's disease and Parkinson's disease, are an important cause of disability and death worldwide and pose a serious burden on the global health system over the past 30 years. Acupuncture, as the most widely used traditional Chinese medicine therapy in the world, has been widely used in 183 countries and regions. Acupuncture can treat more than 300 kinds of diseases, especially for neurological diseases. Due to the unique advantages of acupuncture such as good therapeutic effect and low side effects, many researchers have conducted extensive clinical studies on the effectiveness and safety of acupuncture in the treatment of neurological diseases, laying a ...