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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 2651–2700 of 4002 papers

TitleStatusHype
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags—0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization—0
Multi-lingual Entity Discovery and Linking—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data—0
Batch IS NOT Heavy: Learning Word Representations From All Samples—0
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimizationCode0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Using pseudo-senses for improving the extraction of synonyms from word embeddings—0
Word Embedding and WordNet Based Metaphor Identification and Interpretation—0
Predicting Brain Activation with WordNet EmbeddingsCode0
Diachronic degradation of language models: Insights from social media—0
Fully Statistical Neural Belief TrackingCode0
A Sequence Learning Method for Domain-Specific Entity Linking—0
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks—0
Inter and Intra Topic Structure Learning with Word EmbeddingsCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
Towards Optimal Transport with Global Invariances—0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment—0
The Corpus Replication Task—0
Evaluation of sentence embeddings in downstream and linguistic probing tasksCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search—0
Diachronic word embeddings and semantic shifts: a survey—0
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data—0
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient MobilityCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
The Limitations of Cross-language Word Embeddings EvaluationCode0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
Closed Form Word Embedding Alignment—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge—0
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing—0
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network—0
Specialising Word Vectors for Lexical EntailmentCode0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
Stacking with Auxiliary Features for Visual Question Answering—0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings—0
Subword-level Composition Functions for Learning Word Embeddings—0
Igbo Diacritic Restoration using Embedding Models—0
NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model—0
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model—0
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