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2GitHub - commonsense/conceptnet-numberbatch
https://github.com/commonsense/conceptnet-numberbatch
7 years ago by @dallmann
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semantic
conceptnet
embeddings
word
semanticconceptnetembeddingsword
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1HistWords: Word Embeddings for Historical Text
https://nlp.stanford.edu/projects/histwords/
7 years ago by @nosebrain
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histWords
embeddings
historical
text
word
histWordsembeddingshistoricaltextword
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1Whiskey Embeddings
Whiskey Embeddings
7 years ago by @nosebrain
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embeddings
whiskey
word2vec
fun
embeddingswhiskeyword2vecfun
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2Embedding Methods for NLP
http://emnlp2014.org/tutorials/8_notes.pdf
8 years ago by @dallmann
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embeddings
deep_learning
embeddingsdeep_learning
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1GitHub - klb3713/sentence2vec: Tools for mapping a sentence with arbitrary length to vector space
An implementation of sentence2vec (para2vec) written in python using gensim.
8 years ago by @dallmann
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recsys16:harakiri
embeddings
deep_learning
tools
recsys16:harakiriembeddingsdeep_learningtools
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1Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
A. Beam, B. Kompa, A. Schmaltz, I. Fried, G. Weber, N. Palmer, X. Shi, T. Cai, and I. Kohane. (2018)cite arxiv:1804.01486.
4 years ago by @nosebrain
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medical
clinic
embeddings
data
multimodal
medicalclinicembeddingsdatamultimodal
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2A survey of word embeddings for clinical text
F. Khattak, S. Jeblee, C. Pou-Prom, M. Abdalla, C. Meaney, and F. Rudzicz. Journal of Biomedical Informatics: X, (2019)
4 years ago by @nosebrain
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clinic
embeddings
word
clinicembeddingsword
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2Learning Deep Structure-Preserving Image-Text Embeddings
L. Wang, Y. Li, and S. Lazebnik. CVPR, page 5005-5013. IEEE Computer Society, (2016)
5 years ago by @nosebrain
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image
embeddings
text
paper-dzhi
imageembeddingstextpaper-dzhi
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5A comparison of word embeddings for the biomedical natural language processing
Y. Wang, S. Liu, N. Afzal, M. Rastegar-Mojarad, L. Wang, F. Shen, P. Kingsbury, and H. Liu. Journal of Biomedical Informatics, (2018)
5 years ago by @nosebrain
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nlp
medical
paper:medical_word_embeddings
embeddings
word
nlpmedicalpaper:medical_word_embeddingsembeddingsword
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3Knowledge Graph and Text Jointly Embedding
Z. Wang, J. Zhang, J. Feng, and Z. Chen. EMNLP, page 1591-1601. ACL, (2014)
5 years ago by @nosebrain
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proposal:bmbf2019
application:bmbf2019:final
embeddings
text
knowledge
graph
proposal:bmbf2019application:bmbf2019:finalembeddingstextknowledgegraph
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2Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines
G. Mai, K. Janowicz, and B. Yan. Semdeep/NLIWoD@ISWC, volume 2241 of CEUR Workshop Proceedings, page 77-88. CEUR-WS.org, (2018)
5 years ago by @nosebrain
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proposal:bmbf2019
embeddings
text
bmbf:final
graph
proposal:bmbf2019embeddingstextbmbf:finalgraph
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8EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification
L. Hettinger, A. Zehe, A. Dallmann, and A. Hotho. INFORMATIK 2019, (2019)
5 years ago by @nosebrain
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proposal:bmbf2019
embeddings
context
bert
word
proposal:bmbf2019embeddingscontextbertword
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8ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings
L. Hettinger, A. Dallmann, A. Zehe, T. Niebler, and A. Hotho. Proceedings of International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA, (2018)
5 years ago by @nosebrain
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proposal:bmbf2019
2018
semeval
embeddings
relation
claire
classification
proposal:bmbf20192018semevalembeddingsrelationclaireclassification
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2Latent cross: Making use of context in recurrent recommender systems
A. Beutel, P. Covington, S. Jain, C. Xu, J. Li, V. Gatto, and E. Chi. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, page 46--54. ACM, ACM, (2018)
5 years ago by @dallmann
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embeddings
thema
thema:context
deep_learning
embeddingsthemathema:contextdeep_learning
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2Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
I. Yamada, A. Asai, H. Shindo, H. Takeda, and Y. Takefuji. (2018)cite arxiv:1812.06280.
6 years ago by @dallmann
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embeddings
wikipedia
multimodal
embeddingswikipediamultimodal
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5Knowledge Graph Embedding: A Survey of Approaches and Applications.
Q. Wang, Z. Mao, B. Wang, and L. Guo. IEEE Trans. Knowl. Data Eng., 29 (12): 2724-2743 (2017)
6 years ago by @dallmann
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embeddings
survey
knowledge_graph
embeddingssurveyknowledge_graph
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3Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics.
S. Thoma, A. Rettinger, and F. Both. International Semantic Web Conference (1), volume 10587 of Lecture Notes in Computer Science, page 694-710. Springer, (2017)
6 years ago by @dallmann
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embeddings
knowledge_graph
embeddingsknowledge_graph
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5A Trio Neural Model for Dynamic Entity Relatedness Ranking
T. Nguyen, T. Tran, and W. Nejdl. (2018)cite arxiv:1808.08316Comment: In Proceedings of CoNLL 2018.
6 years ago by @dallmann
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relatedness
embeddings
deep_learning
relatednessembeddingsdeep_learning
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6On the Dimensionality of Word Embedding
Z. Yin, and Y. Shen. Advances in Neural Information Processing Systems 31, Curran Associates, Inc., (2018)
6 years ago by @dallmann
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embeddings
deep_learning
embeddingsdeep_learning
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2Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space.
A. Neelakantan, J. Shankar, A. Passos, and A. McCallum. EMNLP, page 1059-1069. ACL, (2014)
6 years ago by @dallmann
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embeddings
multisense
embeddingsmultisense
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2SensEmbed: Learning Sense Embeddings for Word and Relational Similarity.
I. Iacobacci, M. Pilehvar, and R. Navigli. ACL (1), page 95-105. The Association for Computer Linguistics, (2015)
6 years ago by @dallmann
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word_sense_disambiguation
embeddings
word_sense_disambiguationembeddings
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2A Unified Model for Word Sense Representation and Disambiguation.
X. Chen, Z. Liu, and M. Sun. EMNLP, page 1025-1035. ACL, (2014)
6 years ago by @dallmann
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word_sense_disambiguation
embeddings
word_sense_disambiguationembeddings
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3Effective Representing of Information Network by Variational Autoencoder.
H. Li, H. Wang, Z. Yang, and H. Liu. IJCAI, page 2103-2109. ijcai.org, (2017)
6 years ago by @dallmann
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embeddings
deep_learning
va
graph_embeddings
multimodal
embeddingsdeep_learningvagraph_embeddingsmultimodal
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4From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
J. Camacho-Collados, and M. Pilehvar. CoRR, (2018)
6 years ago by @dallmann
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embeddings
survey
embeddingssurvey
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2Refining Word Embeddings for Sentiment Analysis
L. Yu, J. Wang, K. Lai, and X. Zhang. EMNLP, page 534-539. Association for Computational Linguistics, (2017)
6 years ago by @dallmann
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embeddings
adaptation
refinement
embeddingsadaptationrefinement
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2GitHub - commonsense/conceptnet-numberbatch

1HistWords: Word Embeddings for Historical Text

1Whiskey Embeddings

2Embedding Methods for NLP

1GitHub - klb3713/sentence2vec: Tools for mapping a sentence with arbitrary length to vector space

publications (hide)27
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1Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

2A survey of word embeddings for clinical text

2Learning Deep Structure-Preserving Image-Text Embeddings

5A comparison of word embeddings for the biomedical natural language processing

3Knowledge Graph and Text Jointly Embedding

2Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines

8EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification

8ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings

2Latent cross: Making use of context in recurrent recommender systems

2Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia

5Knowledge Graph Embedding: A Survey of Approaches and Applications.

3Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics.

5A Trio Neural Model for Dynamic Entity Relatedness Ranking

6On the Dimensionality of Word Embedding

2Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space.

2SensEmbed: Learning Sense Embeddings for Word and Relational Similarity.

2A Unified Model for Word Sense Representation and Disambiguation.

3Effective Representing of Information Network by Variational Autoencoder.

4From Word to Sense Embeddings: A Survey on Vector Representations of Meaning

2Refining Word Embeddings for Sentiment Analysis

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