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001482320 020__ $$a9783031446993$$q(electronic bk.)
001482320 020__ $$a3031446992$$q(electronic bk.)
001482320 020__ $$z9783031446986
001482320 0247_ $$a10.1007/978-3-031-44699-3$$2doi
001482320 035__ $$aSP(OCoLC)1402271373
001482320 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF
001482320 049__ $$aISEA
001482320 050_4 $$aQA76.9.N38
001482320 08204 $$a006.3/5$$223/eng/20231012
001482320 1112_ $$aNLPCC (Conference)$$n(12th :$$d2023 :$$cFoshan, China)
001482320 24510 $$aNatural language processing and Chinese computing :$$b12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, proceedings.$$nPart III /$$cFei Liu, Nan Duan, Qingting Xu, Yu Hong, editors.
001482320 24630 $$aNLPCC 2023
001482320 264_1 $$aCham :$$bSpringer,$$c[2023]
001482320 264_4 $$c©2023
001482320 300__ $$a1 online resource (xxvii, 429 pages) :$$billustrations (chiefly color).
001482320 336__ $$atext$$btxt$$2rdacontent
001482320 337__ $$acomputer$$bc$$2rdamedia
001482320 338__ $$aonline resource$$bcr$$2rdacarrier
001482320 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence,$$x2945-9141 ;$$v14304
001482320 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001482320 500__ $$aConference proceedings.
001482320 500__ $$aIncludes author index.
001482320 5050_ $$aFantastic Gradients and Where to Find Them: Improving Multi-Attribute Text Style Transfer by Quadratic Program -- TiBERT: A Non-autoregressive Pre-trained Model for Text Editing -- Student Workshop -- A Study on the Classification of Chinese Medicine Records Using BERT, Chest Impediment as an Example -- Semantic Candidate Retrieval for Few-shot Entity Linking -- CELAT: A Chinese Few-shot Emerging Entity Linking Model based on ERNIE and Adversarial Training -- Evaluation Workshop -- A Unified Framework for Optimizing Video Corpus Retrieval and Temporal Answer Grounding: Fine-grained Modality Alignment and Local-Global Optimization -- User Preference Prediction for Online Dialogue Systems based on Pre-trained Large Model -- A Two-Stage Chinese Medical Video Retrieval Framework with LLM -- Improving Cross-Modal Visual Answer Localization in Chinese Medical Instructional Video using Language Prompts -- Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever -- Two-Stage Topic Sentence Extraction for Chinese Student Essays -- Auto-scaling Distribution Fitting Network for User Feedback Prediction -- Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling -- Multi-angle Prediction Based on Prompt Learning for Text Classification -- Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System -- A Numeracy-Enhanced Decoding for Solving Math Word Problem -- Improving Conversational Aspect-based Sentiment Quadruple Analysis with Overall Modeling -- Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation -- Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints -- Overview of the NLPCC 2023 Shared Task: Chinese Medical Instructional Video Question Answering -- Conversational Aspect-based Sentiment Quadruple Analysis with Consecutive Multi-view Interaction -- Overview of the NLPCC 2023 Shared Task 10: Learn to Watch TV: Multimodal Dialogue Understanding and Response Generation -- GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning -- A Model Ensemble Approach for Conversational Quadruple Extraction -- Solving Math Word Problem with Problem Type Classification -- Consistent Solutions for Optimizing Search Space of Beam Search -- Generating Better Responses from User Feedback via Reinforcement Learning and Commonsense Inference -- Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement -- HWCGEC:HW-TSC’s 2023 Submission for the NLPCC2023’s Chinese Grammatical Error Correction Task -- Enhancing Conversational Aspect-based Sentiment Quadruple Analysis with Context Fusion Encoding Method -- Enhanced CGSN System for Machine Reading Comprehension -- Scientific Reading Comprehension with Sentences Selection and Ranking -- Task-related Pretraining with Whole Word Masking for Chinese Coherence Evaluation -- Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check -- Overview of NLPCC 2023 Shared Task 6:Chinese Few-shot and Zero-shot Entity Linking -- Overview of the NLPCC 2023 Shared Task 9: User Feedback Prediction and Response Generation -- Overview of NLPCC Shared Task 2: Multi-perspective Scientific Machine Reading Comprehension.
001482320 506__ $$aAccess limited to authorized users.
001482320 520__ $$aThis three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.
001482320 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 12, 2023).
001482320 650_6 $$aTraitement automatique des langues naturelles$$vCongrès.
001482320 650_6 $$aChinois (Langue)$$xInformatique$$vCongrès.
001482320 650_0 $$aNatural language processing (Computer science)$$vCongresses.$$vCongresses$$0(DLC)sh2008108333
001482320 650_0 $$aChinese language$$xData processing$$vCongresses.$$0(DLC)sh 85024251
001482320 655_0 $$aElectronic books.
001482320 655_7 $$aproceedings (reports)$$2aat
001482320 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482320 655_7 $$aConference papers and proceedings.$$2lcgft
001482320 655_7 $$aActes de congrès.$$2rvmgf
001482320 7001_ $$aLiu, Fei,$$eeditor.
001482320 7001_ $$aDuan, Nan,$$eeditor.
001482320 7001_ $$aXu, Qingting,$$eeditor.
001482320 7001_ $$aHong, Yu,$$eeditor.$$dapproximately 1717-1763.$$tHong lou meng$$0(OCoLC)oca00564378
001482320 830_0 $$aLecture notes in computer science ;$$v14304.
001482320 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.$$x2945-9141
001482320 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001482320 852__ $$bebk
001482320 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44699-3$$zOnline Access$$91397441.1
001482320 909CO $$ooai:library.usi.edu:1482320$$pGLOBAL_SET
001482320 980__ $$aBIB
001482320 980__ $$aEBOOK
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