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Representation Learning

4,516 papers

Papers per year

Papers

Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020
Emerging Cross-lingual Structure in Pretrained Language Models ACL 2020
Extractive Summarization as Text Matching ACL 2020
Bipartite Flat-Graph Network for Nested Named Entity Recognition ACL 2020
Representation Learning for Information Extraction from Form-like Documents ACL 2020
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders ACL 2020
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing ACL 2020
DRTS Parsing with Structure-Aware Encoding and Decoding ACL 2020
Improving Entity Linking through Semantic Reinforced Entity Embeddings ACL 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL 2020
Transition-based Semantic Dependency Parsing with Pointer Networks ACL 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020
Do Transformers Need Deep Long-Range Memory? ACL 2020
Unsupervised Domain Clusters in Pretrained Language Models ACL 2020
Multi-Sentence Argument Linking ACL 2020
Feature Projection for Improved Text Classification ACL 2020
Story-level Text Style Transfer: A Proposal ACL 2020
Reflection-based Word Attribute Transfer ACL 2020
Combining Subword Representations into Word-level Representations in the Transformer Architecture ACL 2020
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition ACL 2020
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling ACL 2020
Compositional Generalization by Factorizing Alignment and Translation ACL 2020
Neural Transduction of Letter Position Dyslexia using an Anagram Matrix Representation ACL 2020
Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers ACL 2020
Being neighbourly: Neural metaphor identification in discourse ACL 2020