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Methodology
← Core Methods
Machine Learning
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Core Methods
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Embedding Learning
3751 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 2
2004: 1
2005: 2
2006: 8
2007: 6
2008: 7
2009: 13
2010: 14
2011: 17
2012: 19
2013: 39
2014: 35
2015: 58
2016: 85
2017: 230
2018: 340
2019: 515
2020: 474
2021: 426
2022: 364
2023: 328
2024: 361
2025: 336
2026: 68
Papers
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
ACL 2018
Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments
ACL 2018
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
ACL 2018
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces
IJCAI 2018
Subcharacter Information in Japanese Embeddings: When Is It Worth It?
ACL 2018
Orthographic Features for Bilingual Lexicon Induction
ACL 2018
Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents
ACL 2018
Jointly Embedding Entities and Text with Distant Supervision
ACL 2018
Knowledge Graph Embedding with Numeric Attributes of Entities
ACL 2018
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization
ACL 2018
Extracting Commonsense Properties from Embeddings with Limited Human Guidance
ACL 2018
Batch IS NOT Heavy: Learning Word Representations From All Samples
ACL 2018
Domain Adapted Word Embeddings for Improved Sentiment Classification
ACL 2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
ACL 2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
ACL 2018
Addressing Noise in Multidialectal Word Embeddings
ACL 2018
Simple Algorithms For Sentiment Analysis On Sentiment Rich, Data Poor Domains.
COLING 2018
Learning to Promote Saliency Detectors
CVPR 2018
Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval
NAACL 2018
Learning and Evaluating Sparse Interpretable Sentence Embeddings
EMNLP 2018
Associative Multichannel Autoencoder for Multimodal Word Representation
EMNLP 2018
Recommendation with Multi-Source Heterogeneous Information
IJCAI 2018
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
EMNLP 2018
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
NAACL 2018
Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
NAACL 2018
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