SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 4002 papers

TitleStatusHype
Fast query-by-example speech search using separable model—0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings—0
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP—0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook—0
Feature Engineering vs BERT on Twitter Data—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
FeelsGoodMan: Inferring Semantics of Twitch Neologisms—0
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic—0
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language—0
Extremely Small BERT Models from Mixed-Vocabulary Training—0
Combining BERT with Static Word Embeddings for Categorizing Social Media—0
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages—0
Field Embedding: A Unified Grain-Based Framework for Word Representation—0
Addressing Low-Resource Scenarios with Character-aware Embeddings—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language—0
Finding Individual Word Sense Changes and their Delay in Appearance—0
Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task—0
Fine-Grained Contextual Predictions for Hard Sentiment Words—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains—0
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference—0
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Extrapolating Binder Style Word Embeddings to New Words—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings—0
Extractive Summarization using Continuous Vector Space Models—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
Extracting Temporal and Causal Relations between Events—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Extracting Tags from Large Raw Texts Using End-to-End Memory Networks—0
Extracting Social Networks from Literary Text with Word Embedding Tools—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Show:102550
← PrevPage 32 of 81Next →

No leaderboard results yet.