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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Text Representation
2246 directly classified papers
Papers per year
2006: 2
2007: 4
2008: 1
2009: 6
2010: 2
2011: 3
2012: 3
2013: 7
2014: 7
2015: 4
2016: 30
2017: 126
2018: 177
2019: 231
2020: 245
2021: 296
2022: 240
2023: 210
2024: 292
2025: 297
2026: 63
Papers
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
EMNLP 2018
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
NIPS 2018
On the Dimensionality of Word Embedding
NIPS 2018
FRAGE: Frequency-Agnostic Word Representation
NIPS 2018
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
EMNLP 2018
Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level
COLING 2018
STACC, OOV Density and N-gram Saturation: Vicomtech’s Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering
EMNLP 2018
Word Embeddings for Code-Mixed Language Processing
EMNLP 2018
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata
EMNLP 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
EMNLP 2018
Topic Intrusion for Automatic Topic Model Evaluation
EMNLP 2018
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
EMNLP 2018
CLUSE: Cross-Lingual Unsupervised Sense Embeddings
EMNLP 2018
Comparison of Representations of Named Entities for Document Classification
ACL 2018
Generalizing Word Embeddings using Bag of Subwords
EMNLP 2018
Interpretable Word Embedding Contextualization
EMNLP 2018
Word-like character n-gram embedding
EMNLP 2018
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata
EMNLP 2018
Robust Word Vectors: Context-Informed Embeddings for Noisy Texts
EMNLP 2018
An Unsupervised System for Parallel Corpus Filtering
EMNLP 2018
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings
EMNLP 2018
Measuring Issue Ownership using Word Embeddings
EMNLP 2018
Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing
EMNLP 2018
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
EMNLP 2018
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data
EMNLP 2018
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