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ORCIDTing Wang 0009
Person information
- affiliation: National University of Defense Technology, College of Computer, Changsha, China
Other persons with the same name
- Ting Wang — disambiguation page
- Ting Wang 0001
![[0000-0002-7223-8849]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7223-8849")
— East China Normal University, Shanghai, China (and 1 more) - Ting Wang 0002 — Massey University, Volcanic Risk Solutions, New Zealand
- Ting Wang 0003 — University of Pittsburgh, Department of Pediatrics, PA, USA (and 1 more)
- Ting Wang 0004 — Zhejiang University of Technology, College of Computer Science, Hangzhou, China
- Ting Wang 0005 — Southwest University, Faculty of Psychology, Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China (and 1 more)
- Ting Wang 0006 — Pennsylvania State University, University Park, PA, USA (and 3 more)
- Ting Wang 0007 — Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (and 1 more)
- Ting Wang 0008 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Ting Wang 0010 — École centrale de Nantes, France
- Ting Wang 0011 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China (and 3 more)
- Ting Wang 0012 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Key Laboratory of Systems and Control, Beijing, China
- Ting Wang 0013 — Nanjing Tech University, College of Electrical Engineering And Control Science, Jiangsu, China (and 2 more)
- Ting Wang 0014 — Capital University of Economics and Business, School of Management and Engineering, Beijing, China
- Ting Wang 0015 — South China University of Technology, School of Medicine, Guangzhou, China (and 2 more)
- Ting Wang 0016 — NEC Laboratories America, Princeton, NJ, USA
- Ting Wang 0017 — SAP Asia Pte Ltd, Singapore (and 1 more)
- Ting Wang 0018 — Shandong University of Science and Technology, Qingdao, China (and 2 more)
- Ting Wang 0019 — Tongji University, Shanghai, China
- Ting Wang 0020 — Emporia State University, School of Library and Information Management, KS, USA
Other persons with a similar name
- Hao-Ting Wang
- I-Ting Wang
- Ting-Chi Wang
- Ting-Chun Wang
- Ting-Yuan Wang
- Wei-Ting Wang
- Yiting Wang (aka: Yi-ting Wang, Yi-Ting Wang) — disambiguation page
- Yuting Wang (aka: YuTing Wang, Yu-Ting Wang) — disambiguation page
- Yu-Ting Wang 0002 (aka: Yuting Wang 0002) — National Cheng Kung University, Department of Computer Science and Information Engineering, Tainan, Taiwan
- Yuting Wang 0003 (aka: Yu-Ting Wang 0003) — Liaocheng University, College of Computer Science, China
- show all similar names
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2020 – today
- 2025
[j25]Kehan Long, Shasha Li, Jintao Tang, Ting Wang:
Leveraging multiple control codes for aspect-controllable related paper recommendation. Inf. Process. Manag. 62(1): 103879 (2025)- [j24]Dong Li, Jintao Tang, Pancheng Wang, Shasha Li, Ting Wang:
Maximizing discrimination masking for faithful question answering with machine reading. Inf. Process. Manag. 62(1): 103915 (2025) - 2024
- [j23]Jianfeng Liu, Wangrong Gao, Hanzheng Liang, Lin Peng, Ting Wang:
Towards a universal and portable assembly code size reduction: a case study of RISC-V ISA. CCF Trans. High Perform. Comput. 6(3): 263-273 (2024) - [j22]Kang Tang, Shasha Li, Jintao Tang, Dong Li, Pancheng Wang, Ting Wang:
Fusing structural information with knowledge enhanced text representation for knowledge graph completion. Data Min. Knowl. Discov. 38(3): 1316-1333 (2024) - [j21]Pancheng Wang, Shasha Li, Jintao Tang, Ting Wang:
What can rhetoric bring us? Incorporating rhetorical structure into neural related work generation. Expert Syst. Appl. 251: 123781 (2024) - [j20]Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang:
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. ACM Trans. Inf. Syst. 42(1): 8:1-8:22 (2024) - [c63]Kehan Long, Shasha Li, Pancheng Wang, Chenlong Bao, Jintao Tang, Ting Wang:
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines. LREC/COLING 2024: 13699-13711 - [c62]Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang:
MPT4LM: Multi-Modal Prompt Tuning Makes Pre-Trained Large Language Models Better Vision-Language Learners. ECAI 2024: 411-418 - [c61]Junxiu Chen, Kehan Long, Shasha Li, Jintao Tang, Ting Wang:
FineCSDA: Boosting Document-Level Event Argument Extraction with Fine-Grained Data Augmentation. NLPCC (2) 2024: 3-15 - [c60]Kaixuan Wang, Shasha Li, Jintao Tang, Kehan Long, Yongzhu Miao, Fangda Chen, Ting Wang:
Evaluating the Fidelity of Image Captioning via Weighted Boolean Question Answering. NLPCC (3) 2024: 356-368 - [c59]Huazi Yin, Jintao Tang, Shasha Li, Ting Wang:
LLMADR: A Novel Method for Adverse Drug Reaction Extraction Based on Style Aligned Large Language Models Fine-Tuning. NLPCC (1) 2024: 470-482 - [c58]Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang:
Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. SIGIR 2024: 2028-2037 - [i11]Kehan Long, Shasha Li, Pancheng Wang, Chenlong Bao, Jintao Tang, Ting Wang:
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines. CoRR abs/2403.01873 (2024) - [i10]Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang:
Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. CoRR abs/2404.10416 (2024) - 2023
- [j19]Pancheng Wang, Shasha Li, Shenling Liu, Jintao Tang, Ting Wang:
Plan and generate: Explicit and implicit variational augmentation for multi-document summarization of scientific articles. Inf. Process. Manag. 60(4): 103409 (2023) - [j18]Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang:
Integrating fine-grained attention into multi-task learning for knowledge tracing. World Wide Web (WWW) 26(5): 3347-3372 (2023) - [c57]Chenlong Bao, Mingyang Lyu, Jintao Tang, Shasha Li, Ting Wang:
Chinese Open Event Extraction via Low-Rank Adaptation of ChatGLM6b. AIBDF 2023: 388-393 - [c56]Feng Chen, Xinyi Li, Jintao Tang, Shasha Li, Ting Wang:
Benefit from AMR: Image Captioning with Explicit Relations and Endogenous Knowledge. APWeb-WAIM (2) 2023: 363-376 - [c55]Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang:
Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. DASFAA (3) 2023: 716-726 - [c54]Jintao Tang, Chengxian Zhang, Shasha Li, Ting Wang:
Knowledge Enhanced Fine-grained Biomedical Named Entity Recognition. ICCPR 2023: 241-246 - [c53]Yongzhu Miao, Shasha Li, Jintao Tang, Ting Wang:
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models. ICME 2023: 25-30 - [c52]Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang:
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. ICONIP (6) 2023: 341-356 - [c51]Yang Gao, Shasha Li, Pancheng Wang, Ting Wang:
Jointly Extractive and Abstractive Training Paradigm for Text Summarization. ICONIP (14) 2023: 420-433 - [c50]Shiwen Yu, Ting Wang, Ji Wang:
Loop Invariant Inference through SMT Solving Enhanced Reinforcement Learning. ISSTA 2023: 175-187 - [c49]Xintong Zhang, Shasha Li, Bin Ji, Ting Wang:
Learning Well-Separated and Representative Prototypes for Few-Shot Event Detection. NLPCC (2) 2023: 287-298 - [c48]Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang:
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval. PRICAI (2) 2023: 262-274 - [i9]Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang:
A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL. CoRR abs/2304.13301 (2023) - [i8]Chengxian Zhang, Jintao Tang, Ting Wang, Shasha Li:
Address Matching Based On Hierarchical Information. CoRR abs/2305.05874 (2023) - [i7]Yongzhu Miao, Shasha Li, Jintao Tang, Ting Wang:
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models. CoRR abs/2306.11400 (2023) - [i6]Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang:
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain. CoRR abs/2307.05074 (2023) - 2022
- [j17]Dengwen Lin, Jintao Tang, Xinyi Li, Kunyuan Pang, Shasha Li, Ting Wang:
BERT-SMAP: Paying attention to Essential Terms in passage ranking beyond BERT. Inf. Process. Manag. 59(2): 102788 (2022) - [j16]Shiwen Yu, Ting Wang, Ji Wang:
Data Augmentation by Program Transformation. J. Syst. Softw. 190: 111304 (2022) - [j15]Liangliang He, Jintao Tang, Xiao Li, Pancheng Wang, Feng Chen, Ting Wang:
Multi-type factors representation learning for deep learning-based knowledge tracing. World Wide Web 25(3): 1343-1372 (2022) - [c47]Kunyuan Pang, Haoyu Zhang, Jie Zhou, Ting Wang:
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction. ACL (1) 2022: 1997-2006 - [c46]Feng Chen, Xinyi Li, Jintao Tang, Shasha Li, Ting Wang:
From Less to More: Common-Sense Semantic Perception Benefits Image Captioning. APWeb/WAIM (2) 2022: 356-368 - [c45]Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang:
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. COLING 2022: 6222-6233 - [c44]Qinhang Xu, Jintao Tang, Ting Wang:
Fine-Grained Cross-Domain Recommendation via Two-Tier Attention and Three-Channel Learning. ICIAI 2022: 234-240 - [c43]Kehan Long, Shasha Li, Pancheng Wang, Jintao Tang, Ting Wang:
Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation. IJCNN 2022: 1-7 - [c42]Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang:
Multi-source Representation Enhancement for Wikipedia-style Entity Annotation. IJCNN 2022: 1-8 - [c41]Mingyang Lyu, Chenlong Bao, Jintao Tang, Ting Wang, Peilei Liu:
Automatic Detection for Machine-generated Texts is Easy. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1379-1386 - [i5]Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang:
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. CoRR abs/2209.04319 (2022) - 2021
- [j14]Fu-Rong Dang, Jintao Tang, Kunyuan Pang, Ting Wang, Shasha Li, Xiao Li:
Constructing an Educational Knowledge Graph with Concepts Linked to Wikipedia. J. Comput. Sci. Technol. 36(5): 1200-1211 (2021) - [c40]Liangliang He, Xiao Li, Jintao Tang, Ting Wang:
EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors. DASFAA (1) 2021: 340-355 - [c39]Feng Chen, Songxian Xie, Xinyi Li, Jintao Tang, Kunyuan Pang, Shasha Li, Ting Wang:
Show, Rethink, And Tell: Image Caption Generation With Hierarchical Topic Cues. ICME 2021: 1-6 - [c38]Feng Chen, Jintao Tang, Shasha Li, Xinyi Li, Ting Wang:
Looking Back and Forward: Enhancing Image Captioning with Global Semantic Guidance. IJCNN 2021: 1-8 - 2020
- [j13]Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, Ting Wang:
ToC-RWG: Explore the Combination of Topic Model and Citation Information for Automatic Related Work Generation. IEEE Access 8: 13043-13055 (2020) - [c37]Xiao Li, Xiang Li, Jintao Tang, Ting Wang, Yang Zhang, Hongyi Chen:
Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation. KSEM (1) 2020: 247-258 - [c36]Liangliang He, Jintao Tang, Xiao Li, Ting Wang:
ADKT: Adaptive Deep Knowledge Tracing. WISE (1) 2020: 302-314
2010 – 2019
- 2019
- [j12]Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, Ting Wang:
Cited text spans identification with an improved balanced ensemble model. Scientometrics 120(3): 1111-1145 (2019) - [c35]Dengwen Lin, Jintao Tang, Kunyuan Pang, Shasha Li, Ting Wang:
Selecting Paragraphs to Answer Questions for Multi-passage Machine Reading Comprehension. CCIR 2019: 121-132 - [c34]Feng Chen, Songxian Xie, Xinyi Li, Shasha Li, Jintao Tang, Ting Wang:
What Topics Do Images Say: A Neural Image Captioning Model with Topic Representation. ICME Workshops 2019: 447-452 - [c33]Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, Ting Wang:
An Analytical Study on a Benchmark Corpus Constructed for Related Work Generation. NLPCC (1) 2019: 421-432 - 2018
- [j11]Chengsen Ru, Jintao Tang, Shasha Li, Songxian Xie, Ting Wang:
Using semantic similarity to reduce wrong labels in distant supervision for relation extraction. Inf. Process. Manag. 54(4): 593-608 (2018) - [c32]Xiao Li, Ting Wang, Huaimin Wang, Jintao Tang:
Understanding User Interests Acquisition in Personalized Online Course Recommendation. APWeb/WAIM Workshops 2018: 230-242 - [c31]Hui Gao, Wei Luo, Lin Gui, Ting Wang:
Technology Dependency Graph (TDG): A Scientific Literature Mining Based Method for Technology Insight. BigSDM 2018: 176-185 - [c30]Kunyuan Pang, Jintao Tang, Ting Wang:
Which Embedding Level is Better for Semantic Representation? An Empirical Research on Chinese Phrases. NLPCC (2) 2018: 54-66 - [c29]Pancheng Wang, Shasha Li, Ting Wang, Haifang Zhou, Jintao Tang:
NUDT @ CLSciSumm-18. BIRNDL@SIGIR 2018: 102-113 - 2017
- [c28]Zibo Yi, Shasha Li, Jie Yu, Yusong Tan, Qingbo Wu, Hong Yuan, Ting Wang:
Drug-Drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers. ADMA 2017: 554-566 - [c27]Xiao Li, Ting Wang, Huaimin Wang:
Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction. DASFAA Workshops 2017: 328-339 - [c26]Chengsen Ru, Shasha Li, Jintao Tang, Yi Gao, Ting Wang:
Open Relation Extraction Based on Core Dependency Phrase Clustering. DSC 2017: 398-404 - [c25]Chengsen Ru, Jintao Tang, Shasha Li, Ting Wang:
Syntactic Representation Learning for Open Information Extraction on Web. WWW (Companion Volume) 2017: 833-834 - 2016
- [c24]Haichi Liu, Ting Wang, Jintao Tang, Hong Ning, Dengping Wei, Songxian Xie, Peilei Liu:
Identifying Linked Data Datasets for sameAs Interlinking Using Recommendation Techniques. WAIM (1) 2016: 298-309 - 2015
- [j10]Songxian Xie, Jintao Tang, Ting Wang:
Resonance Elicits Diffusion: Modeling Subjectivity for Retweeting Behavior Analysis. Cogn. Comput. 7(2): 198-210 (2015) - [j9]Zhunchen Luo, Yang Yu, Miles Osborne, Ting Wang:
Structuring Tweets for improving Twitter search. J. Assoc. Inf. Sci. Technol. 66(12): 2522-2539 (2015) - [j8]Zhunchen Luo, Miles Osborne, Ting Wang:
An effective approach to tweets opinion retrieval. World Wide Web 18(3): 545-566 (2015) - [c23]Xinyi Li, Jintao Tang, Ting Wang, Zhunchen Luo, Maarten de Rijke:
Automatically Assessing Wikipedia Article Quality by Exploiting Article-Editor Networks. ECIR 2015: 574-580 - [c22]Kunyuan Pang, Ting Wang:
3-D models merging based on cost optimization. ICIMCS 2015: 61:1-61:4 - [c21]Haichi Liu, Jintao Tang, Dengping Wei, Peilei Liu, Hong Ning, Ting Wang:
Collaborative Datasets Retrieval for Interlinking on Web of Data. WWW (Companion Volume) 2015: 69-70 - 2014
- [c20]Songxian Xie, Jintao Tang, Ting Wang:
Topic Related Opinion Integration for Users of Social Media. SMP 2014: 164-174 - [i4]Peilei Liu, Ting Wang:
A Unified Quantitative Model of Vision and Audition. CoRR abs/1406.5807 (2014) - [i3]Peilei Liu, Ting Wang:
A Quantitative Neural Coding Model of Sensory Memory. CoRR abs/1406.6453 (2014) - [i2]Peilei Liu, Ting Wang:
Motor Learning Mechanism on the Neuron Scale. CoRR abs/1407.7027 (2014) - [i1]Peilei Liu, Ting Wang:
Neural Mechanism of Language. CoRR abs/1408.5403 (2014) - 2013
- [c19]Zhunchen Luo, Jintao Tang, Ting Wang:
Improving Keyphrase Extraction from Web News by Exploiting Comments Information. APWeb 2013: 140-150 - [c18]Zhunchen Luo, Miles Osborne, Jintao Tang, Ting Wang:
Who will retweet me?: finding retweeters in twitter. SIGIR 2013: 869-872 - [c17]Zhunchen Luo, Jintao Tang, Ting Wang:
Propagated Opinion Retrieval in Twitter. WISE (2) 2013: 16-28 - [c16]Peilei Liu, Jintao Tang, Ting Wang:
Information current in Twitter: which brings hot events to the world. WWW (Companion Volume) 2013: 111-112 - 2012
- [j7]Dengping Wei, Ting Wang, Ji Wang:
A logistic regression model for Semantic Web service matchmaking. Sci. China Inf. Sci. 55(7): 1715-1720 (2012) - 2011
- [j6]Dengping Wei, Ting Wang, Ji Wang:
SAWSDL Service Discovery Based on Fine-Grained Data Semantics. IEICE Trans. Inf. Syst. 94-D(3): 525-534 (2011) - [j5]Wuying Liu, Ting Wang:
Online active multi-field learning for efficient email spam filtering. Knowl. Inf. Syst. 33(1): 117-136 (2011) - [j4]Dengping Wei, Ting Wang, Ji Wang, Abraham Bernstein:
SAWSDL-iMatcher: A customizable and effective Semantic Web Service matchmaker. J. Web Semant. 9(4): 402-417 (2011) - [c15]Dashun Ma, Lan Rao, Ting Wang:
An Empirical Study of SLDA for Information Retrieval. AIRS 2011: 84-92 - [c14]Jintao Tang, Ting Wang, Qin Lu, Ji Wang, Wenjie Li:
A Wikipedia Based Semantic Graph Model for Topic Tracking in Blogsphere. IJCAI 2011: 2337-2342 - [c13]Jintao Tang, Qin Lu, Ting Wang, Ji Wang, Wenjie Li:
A bipartite graph based social network splicing method for person name disambiguation. SIGIR 2011: 1233-1234 - [c12]Jintao Tang, Ting Wang, Ji Wang, Qin Lu, Wenjie Li:
Using complex network features for fast clustering in the web. WWW (Companion Volume) 2011: 133-134 - 2010
- [j3]Xiaoyan Zhang, Ting Wang:
Topic Tracking with Improved Representation Model and Joint Tracking Method. Int. J. Wavelets Multiresolution Inf. Process. 8(6): 913-930 (2010) - [j2]Wuying Liu, Ting Wang:
Index-based Online Text Classification for SMS Spam Filtering. J. Comput. 5(6): 844-851 (2010) - [j1]Xiaoyan Zhang, Ting Wang:
Topic Tracking with Dynamic Topic Model and Topic-based Weighting Method. J. Softw. 5(5): 482-489 (2010) - [c11]Wuying Liu, Ting Wang:
Multi-field learning for email spam filtering. SIGIR 2010: 745-746
2000 – 2009
- 2009
- [c10]Jintao Tang, Ting Wang, Ji Wang, Dengping Wei:
Efficient social network approximate analysis on blogosphere based on network structure characteristics. SNAKDD 2009: 7 - [p1]Kalina Bontcheva, Brian Davis, Adam Funk, Yaoyong Li, Ting Wang:
Human Language Technologies. Semantic Knowledge Management 2009: 37-49 - 2008
- [c9]Xiaoyan Zhang, Ting Wang, Huowang Chen:
Story Link Detection Based on Event Model with Uneven SVM. AIRS 2008: 436-441 - [c8]Wuying Liu, Ting Wang:
Active Learning for Online Spam Filtering. AIRS 2008: 555-560 - [c7]Jintao Tang, Ting Wang, Ji Wang:
Information Flow Detection and Tracking on Web2.0 BLOGS Based on Social Networks. ICYCS 2008: 1664-1670 - [c6]Dengping Wei, Ting Wang, Ji Wang, Yaodong Chen:
Extracting Semantic Constraint from Description Text for Semantic Web Service Discovery. ISWC 2008: 146-161 - 2006
- [c5]Ting Wang, Yaoyong Li, Kalina Bontcheva, Hamish Cunningham, Ji Wang:
Automatic Extraction of Hierarchical Relations from Text. ESWC 2006: 215-229 - [c4]Yang Yu, Ji Wang, Ting Wang, Huowang Chen:
Representing Wholes by Structure. ICCS 2006: 441-454 - 2005
- [c3]Xiaoyan Zhang, Ting Wang, Jintao Tang, Huiping Zhou, Huowang Chen:
Chinese Named Entity Recognition with a Hybrid-Statistical Model. APWeb 2005: 900-912 - [c2]Ting Wang, Diana Maynard, Wim Peters, Kalina Bontcheva, Hamish Cunningham:
Extracting a Domain Ontology from Linguistic Resource Based on Relatedness Measurements. Web Intelligence 2005: 345-351 - 2004
- [c1]Ting Wang, Ji Wang, Yang Yu, Rui Shen, Jinhong Liu, Huowang Chen:
MetaData Pro: Ontology-Based Metadata Processing for Web Resources. WISE Workshops 2004: 34-45
Coauthor Index
[j25] [j24] [j22] [j21] [j20] [c63] [c62] [c61] [c60] [c59] [c58] [i11] [i10] [j19] [j18] [c57] [c56] [c55] [c54] [c53] [c52] [c48] [i9] [i8] [i7] [i6] [j17] [j15] [c46] [c45] [c44] [c43] [c42] [c41] [i5] [j14] [c40] [c39] [c38] [j13] [c37] [c36] [j12] [c35] [c34] [c33] [j11] [c32] [c30] [c29] [c26] [c25] [c24] [j10] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c10] [c7] [c3]
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