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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4,516 papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Towards Label-Agnostic Emotion Embeddings
EMNLP 2021
Enriching and Controlling Global Semantics for Text Summarization
EMNLP 2021
Neuralizing Regular Expressions for Slot Filling
EMNLP 2021
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings
EMNLP 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
EMNLP 2021
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
EMNLP 2021
Box Embeddings: An open-source library for representation learning using geometric structures
EMNLP 2021
Knowledge-Enriched Natural Language Generation
EMNLP 2021
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
EMNLP 2021
Mixup Decoding for Diverse Machine Translation
EMNLP 2021
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
EMNLP 2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning
EMNLP 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
EMNLP 2021
Discovering Representation Sprachbund For Multilingual Pre-Training
EMNLP 2021
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval
EMNLP 2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
EMNLP 2021
Exploring Multitask Learning for Low-Resource Abstractive Summarization
EMNLP 2021
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
EMNLP 2021
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding
EMNLP 2021
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing
EMNLP 2021
Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability
EMNLP 2021
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
EMNLP 2021
A Neural Graph-based Local Coherence Model
EMNLP 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
EMNLP 2021
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph
EMNLP 2021
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