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Representation Learning

4516 directly classified papers

Papers per year

Papers

Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection EACL 2017
Learning Character-level Compositionality with Visual Features ACL 2017
From Characters to Words to in Between: Do We Capture Morphology? ACL 2017
CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ACL 2017
Learning Semantic Correspondences in Technical Documentation ACL 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 2017
Watset: Automatic Induction of Synsets from a Graph of Synonyms ACL 2017
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017
Affect-LM: A Neural Language Model for Customizable Affective Text Generation ACL 2017
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017
A Convolutional Encoder Model for Neural Machine Translation ACL 2017
Learning Structured Natural Language Representations for Semantic Parsing ACL 2017
Diversity driven attention model for query-based abstractive summarization ACL 2017
What do Neural Machine Translation Models Learn about Morphology? ACL 2017
A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings INTERSPEECH 2017
Graph-based Isometry Invariant Representation Learning ICML 2017
Deep Learning for Semantic Composition ACL 2017
Beyond Words: Deep Learning for Multiword Expressions and Collocations ACL 2017
Methodical Evaluation of Arabic Word Embeddings ACL 2017
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC EMNLP 2017
Character-Aware Neural Morphological Disambiguation ACL 2017
Embedding-Based Speaker Adaptive Training of Deep Neural Networks INTERSPEECH 2017
Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources INTERSPEECH 2017