WordNet: a lexical database for English

Cited by (1,047)

Items 101–200 of 1,047

1. Measuring semantic similarity between words using web search engines
   2007 · International World Wide Web Conference (WWW)
2. Early Convolutions Help Transformers See Better
   Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross Girshick · 2021 · arXiv (Cornell University)
3. Lifelong Machine Learning
   Zhiyuan Chen, Bing Liu · 2018 · Synthesis lectures on artificial intelligence and machine learning
4. SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
   Eneko Agirre, Carmen Banea, Daniel M. Cer, Mona Diab, Aitor González-Agirre, Rada F. Mihalcea, Germán Rigau, Janyce Wiebe · 2016 · International Workshop on Semantic Evaluation (SemEval)
5. CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
   Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
6. A comprehensive survey on feature selection in the various fields of machine learning
   Pradip Dhal, Chandrashekhar Azad · 2021 · Applied Intelligence
7. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
   Li-Jia Li, R. Socher, Li Fei-Fei · 2009 · 2009 IEEE Conference on Computer Vision and Pattern Recognition
8. A review on automatic image annotation techniques
   Dengsheng Zhang, Md. Monirul Islam, Guojun Lu · 2011 · Pattern Recognition
9. S-Match: an Algorithm and an Implementation of Semantic Matching
   Fausto Giunchiglia, Pavel Shvaiko, Mikalai Yatskevich · 2004 · Lecture notes in computer science
10. SimplE Embedding for Link Prediction in Knowledge Graphs
    Kazemi, Seyed Mehran, Poole, David · 2018 · arXiv
11. Formal Ontology in Information Systems
    Nicola Guarino, Corso Stati Uniti · 2025 · Frontiers in artificial intelligence and applications
12. SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
    Ribeiro, Filipe N, Araújo, Matheus, Gonçalves, Pollyanna, André Gonçalves, Marcos, Benevenuto, Fabrício · 2016 · EPJ Data Science
13. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
    Eneko Agirre, Carmen Banea, Claire Cardie, Daniel M. Cer, Mona Diab, Aitor González-Agirre, Weiwei Guo, Iñigo López-Gazpio, Montse Maritxalar, Rada F. Mihalcea et al. · 2015 · International Workshop on Semantic Evaluation (SemEval)
14. Using Ontologies for Integrated Geographic Information Systems
    Frederico Fonseca, Max J. Egenhofer, Peggy Agouris, Gilberto Câmara · 2002 · Transactions in GIS
15. Generalisation in humans and deep neural networks
    Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann · 2018 · arXiv (Cornell University)
16. Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
    Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Chuan Tian · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies
    Eduardo Mena, Arantza Illarramendi, Vipul Kashyap, Amit Sheth · 2000 · Distributed and Parallel Databases
18. What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
    Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony Dick, Anton van den Hengel · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
19. A multidimensional approach for detecting irony in Twitter
    Antonio Reyes, Paolo Rosso, Tony Veale · 2012 · Language Resources and Evaluation
20. Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
    Katia P. Sycara, Seth Widoff, Matthias Klusch, Jianguo Lü · 2002 · Autonomous Agents and Multi-Agent Systems
21. Knowledge-Embedded Routing Network for Scene Graph Generation
    Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
22. Automatic extraction of biological information from scientific text: protein-protein interactions.
    Christian Blaschke, Miguel Angel Andrade-Navarro, Christos A. Ouzounis, Alfonso Valencia · 1999 · PubMed
23. Machine Learning-Based Sentiment Analysis for Twitter Accounts
    A. Hasan, Sana Moin, Ahmad Karim, Shahaboddin Shamshirband · 2018 · Mathematical and Computational Applications
24. Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
    Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
25. Commonsense reasoning and commonsense knowledge in artificial intelligence
    Davis, Ernest, Marcus, Gary · 2015 · Communications of the ACM
26. Mesh R-CNN
    Georgia Gkioxari, Justin Johnson, Jitendra Malik · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
27. Using corpus statistics and WordNet relations for sense identification
    Claudia Leacock, George Armitage Miller, Martin S. Chodorow · 1998
28. Representing the meanings of object and action words: The featural and unitary semantic space hypothesis
    Gabriella Vigliocco, David Vinson, William Dodge Lewis, Merrill F. Garrett · 2004 · Cognitive Psychology
29. Tweet sentiment analysis with classifier ensembles
    da Silva, Nádia F.F., Hruschka, Eduardo R., Hruschka, Estevam R. · 2014 · Decision Support Systems
30. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
    Mateusz Malinowski, Mario Fritz · 2014 · arXiv (Cornell University)
31. Emotion and language: Valence and arousal affect word recognition.
    Victor Kuperman, Zachary Estes, Marc Brysbaert, Amy Beth Warriner · 2014 · Journal of Experimental Psychology General
32. Placing search in context
    Lev Finkelstein Evgeniy, Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman · 2002 · ACM Transactions on Information Systems
33. Sentiment analysis: A review and comparative analysis of web services
    Jesus Serrano‐Guerrero, José Á. Olivas, Francisco P. Romero, Enrique Herrera‐Viedma · 2015 · Information Sciences
34. Midge: Generating Image Descriptions From Computer Vision Detections
    Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa Mensch, Alex Berg, Tamara L. Berg, Hal Daumé · 2012
35. Argument Structure in Usage-Based Construction Grammar
    Florent Perek · 2015 · Constructional approaches to language
36. Knowledge Graph and Text Jointly Embedding
    Wang, Zhen, Zhang, Jianwen, Feng, Jianlin, Chen, Zheng · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
37. Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words
    Hoffman, Paul, Lambon Ralph, Matthew A., Rogers, Timothy T. · 2013 · Behavior Research Methods
38. KG-BERT: BERT for Knowledge Graph Completion
    Liang Yao, Chengsheng Mao, Yuan Luo · 2019 · arXiv (Cornell University)
39. Deep Learning for Visual Tracking: A Comprehensive Survey
    Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei B · 2021 · IEEE Transactions on Intelligent Transportation Systems
40. Differentiable Learning of Logical Rules for Knowledge Base Reasoning
    Fan Yang, Zhilin Yang, William W. Cohen · 2017 · arXiv (Cornell University)
41. Over-reliance on English hinders cognitive science
    Blasi, Damián E., Henrich, Joseph, Adamou, Evangelia, Kemmerer, David, Majid, Asifa · 2022 · Trends in Cognitive Sciences
42. COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
    Bosselut, Antoine, Rashkin, Hannah, Sap, Maarten, Malaviya, Chaitanya, Celikyilmaz, Asli, Choi, Yejin · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
43. Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
    Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat‐Seng Chua, Wenwu Zhu · 2017 · International Joint Conference on Artificial Intelligence
44. Learning to Represent Knowledge Graphs with Gaussian Embedding
    Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao · 2015 · ACM International Conference on Information and Knowledge Management (CIKM)
45. A large annotated corpus for learning natural language inference
    Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher D. Manning · 2015 · arXiv (Cornell University)
46. A Comprehensive Survey on Automatic Knowledge Graph Construction
    Lingfeng Zhong, Jia Xin Wu, Qian Li, Hao Peng, Xindong Wu · 2023 · ACM Computing Surveys
47. Evolution of Semantic Similarity—A Survey
    Dhivya Chandrasekaran, Vijay Mago · 2021 · ACM Computing Surveys
48. Building a Sentiment Summarizer for Local Service Reviews
    Sasha Blair-Goldensohn, Kerry Hannan, Ryan McDonald, Tyler Neylon, George A. Reis, Jeff Reynar · 2008
49. Topical Word Embeddings
    Yang Liu, Zhiyuan Liu, Tat‐Seng Chua, Maosong Sun · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
50. Extracting Information Nuggets from Disaster- Related Messages in Social Media
    Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Díaz, Patrick P. Meier · 2013
51. Low-Dimensional Hyperbolic Knowledge Graph Embeddings
    Chami, Ines, Wolf, Adva, Juan, Da-Cheng, Sala, Frederic, Ravi, Sujith, Ré, Christopher · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
52. Are they different? Affect, feeling, emotion, sentiment, and opinion detection in text
    Munezero, Myriam, Montero, Calkin Suero, Sutinen, Erkki, Pajunen, John · 2014 · IEEE Transactions on Affective Computing
53. Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model
    Grigori Sidorov, Alexander F. Gelbukh, Helena Gómez-Adorno, David Pinto · 2014 · Computación y Sistemas
54. Zero-Shot Object Detection
    Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran · 2018 · Lecture notes in computer science
55. How social learning amplifies moral outrage expression in online social networks
    Brady, William J., McLoughlin, Killian, Doan, Tuan N., Crockett, Molly J. · 2021 · Science Advances
56. Comparing and combining sentiment analysis methods
    Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto, Meeyoung Cha · 2013 · Conference on Online Social Networks
57. A latent factor model for highly multi-relational data
    Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski · 2012
58. Information Filtering: Overview of Issues, Research and Systems
    Uri Hanani, Bracha Shapira, Peretz Shoval · 2001 · User Modeling and User-Adapted Interaction
59. TransG : A Generative Model for Knowledge Graph Embedding
    Han Xiao, Minlie Huang, Xiaoyan Zhu · 2016 · Proceedings of the conference - Association for Computational Linguistics. Meeting
60. Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
    Ringki Das, Thoudam Doren Singh · 2023 · ACM Computing Surveys
61. Empath: Understanding Topic Signals in Large-Scale Text
    Fast, Ethan, Chen, Binbin, Bernstein, Michael S. · 2016 · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
62. From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
    José Camacho-Collados, Mohammad Taher Pilehvar · 2018 · Journal of Artificial Intelligence Research
63. Ontology-based sentiment analysis of twitter posts
    Efstratios Kontopoulos, Christos Berberidis, Theologos Dergiades, Nick Bassiliades · 2013 · Expert Systems with Applications
64. OpenKE: An Open Toolkit for Knowledge Embedding
    Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li · 2018 · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
65. A Measurement Study of Hate Speech in Social Media
    Mainack Mondal, Leandro Araújo Silva, Fabrí­cio Benevenuto · 2017 · ACM Conference on Hypertext and Social Media (HT)
66. Supporting ontological analysis of taxonomic relationships
    Christopher A. Welty, Nicola Guarino · 2001 · Data & Knowledge Engineering
67. A Text-Based Analysis of Corporate Innovation
    Gustaf Bellstam, Sanjai Bhagat, J. Anthony Cookson · 2020 · Management Science
68. WordNet
    Christiane Fellbaum · 2010 · Springer eBooks
69. Conditional BERT Contextual Augmentation
    Xing Cai Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu · 2019 · Lecture notes in computer science
70. Attention during natural vision warps semantic representation across the human brain
    Çukur, Tolga, Nishimoto, Shinji, Huth, Alexander G, Gallant, Jack L · 2013 · Nature Neuroscience
71. Ontologies improve text document clustering
    Andreas Hotho A, Steffen Staab, Gerd Stumme A · 2004 · Proceedings
72. Data augmentation approaches in natural language processing: A survey
    Bohan Li, Yutai Hou, Wanxiang Che · 2022 · AI Open
73. Effective keyword search in relational databases
    Fang Liu, Clement T. Yu, Weiyi Meng, Abdur Chowdhury · 2006 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
74. Webly Supervised Learning of Convolutional Networks
    Xinlei Chen, Abhinav Gupta · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
75. Counter-fitting Word Vectors to Linguistic Constraints
    Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, S.J. Young · 2016 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
76. Knowledge Graph Completion: A Review
    Zhe Chen, Yuehan Wang, Bin Zhao, Jing Cheng, Xin Zhao, Zongtao Duan · 2020 · IEEE Access
77. A Survey on Automatic Text Summarization
    Dipanjan Das Andr · 2007
78. Machine Learning for Information Extraction in Informal Domains
    Dayne Freitag · 2000 · Machine Learning
79. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
    Wen‐Syan Li, Chris Clifton · 2000 · Data & Knowledge Engineering
80. Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks
    Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Naixue N. Xiong · 2021 · IEEE Transactions on Neural Networks and Learning Systems
81. Word sense disambiguation and information retrieval
    Mark Sanderson · 1994 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
82. An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges
    Yuxin Peng, Xin Huang, Yunzhen Zhao · 2017 · IEEE Transactions on Circuits and Systems for Video Technology
83. Semantic integration of semistructured and structured data sources
    Sonia Bergamaschi, Silvana Castano, Maurizio Vincini · 1999 · ACM SIGMOD Record
84. Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
    Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio · 2012
85. Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
    Robin Burke, Kristian J. Hammond, Vladimir Kulyukin, Steven L. Lytinen, Noriko Tomuro, Scott Schoenberg · 1997
86. Learning with compositional semantics as structural inference for subsentential sentiment analysis
    Yejin Choi, Claire Cardie · 2008 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
87. Observer: an approach for query processing in global information systems based on interoperation across pre-existing ontologies
    Eduardo Mena, V. Kashyap, Amit Sheth, Arantza Illarramendi · 2002 · Cooperative Information Systems
88. Approaches, Tools and Applications for Sentiment Analysis Implementation
    Alessia D’Andrea, Fernando Ferri, Patrizia Grifoni, Tiziana Guzzo · 2015 · International Journal of Computer Applications
89. Speech gesture generation from the trimodal context of text, audio, and speaker identity
    Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee · 2020 · ACM Transactions on Graphics
90. Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
    Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada F. Mihalcea · 2020 · IEEE Transactions on Affective Computing
91. TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction
    Adrien Bougouin, Florian Boudin, Béatrice Daille · 2013
92. Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
    Cynthia S. Q. Siew, Dirk U. Wulff, Nicole Beckage, Yoed Nissan Kenett · 2019 · Complexity
93. Gaussian LDA for Topic Models with Word Embeddings
    Rajarshi Das, Manzil Zaheer, Chris Dyer · 2015
94. Semantic matching
    Fausto Giunchiglia, Pavel Shvaiko · 2003 · The Knowledge Engineering Review
95. Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
    Alessandro Raganato, José Camacho-Collados, Roberto Navigli A · 2017 · Conference of the European Chapter of the Association for Computational Linguistics
96. Concise and consistent naming
    Florian Deissenboeck, Markus Pizka · 2006 · Software Quality Journal
97. Multi-label Zero-Shot Learning with Structured Knowledge Graphs
    Chung‐Wei Lee, Wei Fang, Chih‐Kuan Yeh, Yu-Chiang Frank Wang · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
98. Toward a technology for organizational memories
    Andreas Abecker, Ansgar Bernardi, Knut Hinkelmann, Otto Kühn, Michael Sintek · 1998 · IEEE Intelligent Systems and their Applications
99. Word Sense Disambiguation: A Survey
    Alok Ranjan Pal, Diganta Saha · 2015 · International Journal of Control Theory and Computer Modeling
100. Semantic Web in data mining and knowledge discovery: A comprehensive survey
     Petar Ristoski, Heiko Paulheim · 2016 · Journal of Web Semantics