Decomposing Word Embedding with the Capsule Network
暂无分享,去创建一个
Yan Liu | Xin Liu | Baotian Hu | Xiangping Wu | Buzhou Tang | Qingcai Chen | Joanna Siebert | Qingcai Chen | Buzhou Tang | Baotian Hu | Xin Liu | Yan Liu | Joanna Siebert | Xiangping Wu
[1] Yun-Nung Chen,et al. What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition , 2019, EMNLP.
[2] Roberto Navigli,et al. Two Knowledge-based Methods for High-Performance Sense Distribution Learning , 2018, AAAI.
[3] Zhifang Sui,et al. Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention , 2018, EMNLP.
[4] Benjamin Lecouteux,et al. Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation , 2019, GWC.
[5] Christian Biemann,et al. Making Sense of Word Embeddings , 2016, Rep4NLP@ACL.
[6] José Camacho-Collados,et al. From Word to Sense Embeddings: A Survey on Vector Representations of Meaning , 2018, J. Artif. Intell. Res..
[7] Roberto Navigli,et al. SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation , 2020, AAAI.
[8] Roberto Navigli,et al. Neural Sequence Learning Models for Word Sense Disambiguation , 2017, EMNLP.
[9] Raymond J. Mooney,et al. Multi-Prototype Vector-Space Models of Word Meaning , 2010, NAACL.
[10] Nigel Collier,et al. De-Conflated Semantic Representations , 2016, EMNLP.
[11] Chris Dyer,et al. Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models , 2015, NAACL.
[12] Geoffrey E. Hinton,et al. Matrix capsules with EM routing , 2018, ICLR.
[13] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[14] Ignacio Iacobacci,et al. Embeddings for Word Sense Disambiguation: An Evaluation Study , 2016, ACL.
[15] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[16] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[17] Roberto Navigli,et al. SemEval-2013 Task 12: Multilingual Word Sense Disambiguation , 2013, *SEMEVAL.
[18] Andrew McCallum,et al. Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space , 2014, EMNLP.
[19] Nigel Collier,et al. Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs , 2018, EMNLP.
[20] Hwee Tou Ng,et al. It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text , 2010, ACL.
[21] Daniel Loureiro,et al. Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation , 2019, ACL.
[22] Xiaoqing Zheng,et al. Geometric Relationship between Word and Context Representations , 2018, AAAI.
[23] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[24] Wanxiang Che,et al. Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources , 2014, COLING.
[25] Hamido Fujita,et al. Word Sense Disambiguation: A comprehensive knowledge exploitation framework , 2020, Knowl. Based Syst..
[26] Roberto Navigli,et al. Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison , 2017, EACL.
[27] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[28] Marine Carpuat,et al. Retrofitting Sense-Specific Word Vectors Using Parallel Text , 2016, HLT-NAACL.
[29] Ignacio Iacobacci,et al. Embedding Words and Senses Together via Joint Knowledge-Enhanced Training , 2016, CoNLL.
[30] Ivan Titov,et al. Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders , 2016, HLT-NAACL.
[31] Martha Palmer,et al. SemEval-2007 Task-17: English Lexical Sample, SRL and All Words , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[32] Xin Liu,et al. LCQMC:A Large-scale Chinese Question Matching Corpus , 2018, COLING.
[33] Andrew Y. Ng,et al. Improving Word Representations via Global Context and Multiple Word Prototypes , 2012, ACL.
[34] Partha Pratim Talukdar,et al. Zero-shot Word Sense Disambiguation using Sense Definition Embeddings , 2019, ACL.
[35] Stefano Faralli,et al. Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation , 2017, EACL.
[36] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[37] Hwee Tou Ng,et al. Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations , 2019, EMNLP.
[38] Ido Dagan,et al. context2vec: Learning Generic Context Embedding with Bidirectional LSTM , 2016, CoNLL.
[39] Bianca Scarlini,et al. CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages , 2020, ACL.
[40] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[41] Roberto Navigli,et al. SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking , 2015, *SEMEVAL.
[42] José Camacho-Collados,et al. WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations , 2018, NAACL.
[43] Eneko Agirre,et al. Random Walks for Knowledge-Based Word Sense Disambiguation , 2014, CL.
[44] Xuanjing Huang,et al. GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge , 2019, EMNLP.
[45] Dimitri Kartsaklis,et al. Separating Disambiguation from Composition in Distributional Semantics , 2013, CoNLL.
[46] Zhifang Sui,et al. Incorporating Glosses into Neural Word Sense Disambiguation , 2018, ACL.
[47] Ryan Doherty,et al. Semi-supervised Word Sense Disambiguation with Neural Models , 2016, COLING.
[48] Roberto Navigli,et al. Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction , 2013, CL.