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CVSC - 2015
Total Papers:- 8
Total Papers accross all years:- 14
Total Citations :- 41
1
Observed versus latent features for knowledge base and text inference
Kristina Toutanova |
Danqi Chen |
Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman |
Christopher Potts |
Christopher D. Manning |
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto |
Yoshimasa Tsuruoka |
Incremental Adaptation Strategies for Neural Network Language Models
Alex Ter-Sarkisov |
Holger Schwenk |
Fethi Bougares |
Loïc Barrault |
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Alexandre Allauzen |
Edward Grefenstette |
Karl Moritz Hermann |
Hugo Larochelle |
Scott Wen-tau Yih |
Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung |
Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang |
Bin Yuan |
Dong Wang |
Rong Liu |
Exploring the effect of semantic similarity for Phrase-based Machine Translation
Kunal Sachdeva |
Dipti Sharma |
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Distributional Semantics
Embeddings
Formal Semantics
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Textual Entailment
Semantic Similarity
Information Extraction
Relation Extraction
Sentiment Analysis
Question Answering
Machine Translation
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Deep Learning
Representation Learning
Unsupervised Learning
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