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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 3276–3300 of 4002 papers

TitleStatusHype
BioAMA: Towards an End to End BioMedical Question Answering System—0
Bio-inspired Structure Identification in Language Embeddings—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
BLCU\_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention—0
Blind signal decomposition of various word embeddings based on join and individual variance explained—0
Blinov: Distributed Representations of Words for Aspect-Based Sentiment Analysis at SemEval 2014—0
BLISS in Non-Isometric Embedding Spaces—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Bootstrapping Multilingual AMR with Contextual Word Alignments—0
Bootstrapping NLU Models with Multi-task Learning—0
Bootstrapping Polar-Opposite Emotion Dimensions from Online Reviews—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data)—0
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes—0
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network—0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection—0
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
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