GloVe Embeddings

Introduced by Pennington et al. in GloVe: Global Vectors for Word Representation

GloVe Embeddings are a type of word embedding that encode the co-occurrence probability ratio between two words as vector differences. GloVe uses a weighted least squares objective $J$ that minimizes the difference between the dot product of the vectors of two words and the logarithm of their number of co-occurrences:

$$ J=\sum_{i, j=1}^{V}f\left(𝑋_{i j}\right)(w^{T}_{i}\tilde{w}_{j} + b_{i} + \tilde{b}_{j} - \log{𝑋}_{ij})^{2} $$

where $w_{i}$ and $b_{i}$ are the word vector and bias respectively of word $i$, $\tilde{w}$, $j$ and $b_{j}$ are the context word vector and bias respectively of word $k$, $X_{ij}$ is the number of times word $i$ occurs in the context of word $j$, and $f$ is a weighting function that assigns lower weights to rare and frequent co-occurrences.

Source: GloVe: Global Vectors for Word Representation

Latest Papers

PAPER DATE
Word Embeddings: Stability and Semantic Change
Lucas Rettenmeier
2020-07-23
Predicting job-hopping likelihood using answers to open-ended interview questions
Madhura JayaratneBuddhi Jayatilleke
2020-07-22
Morphological Skip-Gram: Using morphological knowledge to improve word representation
Flávio SantosHendrik MacedoThiago BispoCleber Zanchettin
2020-07-20
Using Holographically Compressed Embeddings in Question Answering
Salvador E. Barbosa
2020-07-14
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets
Aarzoo DhimanDurga Toshniwal
2020-07-13
GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection
| Vaibhav Jain
2020-07-10
Automatic Detection of Sexist Statements Commonly Used at the Workplace
Dylan GroszPatricia Conde-Cespedes
2020-07-08
A Novel BGCapsule Network for Text Classification
Akhilesh Kumar GangwarVadlamani Ravi
2020-07-02
Multimodal Transformer for Multimodal Machine Translation
Shaowei YaoXiaojun Wan
2020-07-01
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings
Rishi BommasaniKelly DavisClaire Cardie
2020-07-01
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings
Jakob JungmaierNora KassnerBenjamin Roth
2020-06-22
Sarcasm Detection in Tweets with BERT and GloVe Embeddings
Akshay KhatriPranav PDr. Anand Kumar M
2020-06-20
Hybrid Improved Document-level Embedding (HIDE)
Satanik MitraMamata Jenamani
2020-06-01
Detecting Problem Statements in Peer Assessments
Yunkai XiaoGabriel ZingleQinjin JiaHarsh R. ShahYi ZhangTianyi LiMohsin KarovaliyaWeixiang ZhaoYang SongJie JiAshwin BalasubramaniamHarshit PatelPriyankha BhalasubbramanianVikram PatelEdward F. Gehringer
2020-05-30
MASK: A flexible framework to facilitate de-identification of clinical texts
Nikola MilosevicGangamma KalappaHesam DadafarinMahmoud AzimaeeGoran Nenadic
2020-05-24
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
Junhua LiuTrisha SinghalLucienne T. M. BlessingKristin L. WoodKwan Hui Lim
2020-05-11
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
| Vikas YadavSteven BethardMihai Surdeanu
2020-05-04
Word Embedding Evaluation for Sinhala
Dimuthu LakmalSurangika RanathungaSaman PeramunaIndu Herath
2020-05-01
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users
Stein{\th}{\'o}r Steingr{\'\i}mssonStarka{\dh}ur BarkarsonGunnar Thor {\"O}rn{\'o}lfsson
2020-05-01
GGP: Glossary Guided Post-processing for Word Embedding Learning
Ruosong YangJiannong CaoZhiyuan Wen
2020-05-01
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words
Prafulla Kumar ChoubeyRuihong Huang
2020-05-01
Which bills are lobbied? Predicting and interpreting lobbying activity in the US
Ivan SlobozhanPeter OrmosiRajesh Sharma
2020-04-29
Identifying Semantically Duplicate Questions Using Data Science Approach: A Quora Case Study
Navedanjum AnsariRajesh Sharma
2020-04-18
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
| Md. Rezaul KarimBharathi Raja ChakravarthiJohn P. McCraeMichael Cochez
2020-04-11
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
| Javad PourMostafa Roshan SharamiParsa Abbasi SarabestaniSeyed Abolghasem Mirroshandel
2020-04-11
Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding
Mohammed IbrahimSusan GauchOmar SalmanMohammed Alqahatani
2020-03-31
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles
| Malte OstendorffTerry RuasMoritz SchubotzGeorg RehmBela Gipp
2020-03-22
Quality of Word Embeddings on Sentiment Analysis Tasks
Erion ÇanoMaurizio Morisio
2020-03-06
A Lobster-inspired Robotic Glove for Hand Rehabilitation
Yaohui ChenSing LeQiao Chu TanOscar LauFang WanChaoyang Song
2020-03-01
Machine Learning for a Music Glove Instrument
Joseph Bakarji
2020-01-27
A Deep Learning Approach to Behavior-Based Learner Modeling
Yuwei TuWeiyu ChenChristopher G. Brinton
2020-01-23
Zero-Shot Activity Recognition with Videos
Evin Pinar Ornek
2020-01-22
Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese
Jessica Rodrigues da SilvaHelena de Medeiros Caseli
2020-01-21
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts
Anant KhandelwalNiraj Kumar
2020-01-15
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Roei SchusterTal SchusterYoav MeriVitaly Shmatikov
2020-01-14
Embedding Compression with Isotropic Iterative Quantization
Siyu LiaoJie ChenYanzhi WangQinru QiuBo Yuan
2020-01-11
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Bijeeta PalShruti Tople
2020-01-08
Question Type Classification Methods Comparison
Tamirlan Seidakhmetov
2020-01-03
DOUBLE-HARD DEBIASING: TAILORING WORD EMBEDDINGS FOR GENDER BIAS MITIGATION
Anonymous
2020-01-01
“Where is My Parcel?” Fast and Efficient Classifiers to Detect User Intent in Natural Language
| Constantina NicolaouAmal VaidyaFabon DzogangDavid WardropeNikos Konstantinidis
2019-12-16
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting
Aakash SrinivasanHarshavardhan KamarthiDevi GanesanSutanu Chakraborti
2019-12-14
Natural Alpha Embeddings
Riccardo VolpiLuigi Malagò
2019-12-04
Deconstructing and reconstructing word embedding algorithms
Edward NewellKian Kenyon-DeanJackie Chi Kit Cheung
2019-11-29
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings
Wazir AliJay KumarJunyu LuZenglin Xu
2019-11-28
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
| Anqi LiuMaya SrikanthNicholas Adams-CohenR. Michael AlvarezAnima Anandkumar
2019-11-13
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
| Aliakbar PanahiSeyran SaeediTom Arodz
2019-11-12
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning
Vivian T. ChouLeAnna KentJoel A. GóngoraSam BalleriniCarl D. Hoover
2019-11-08
How Can BERT Help Lexical Semantics Tasks?
Yile WangLeyang CuiYue Zhang
2019-11-07
Gextext: Disease Network Extraction from Biomedical Literature
Robert O'Shea
2019-11-06
Reevaluating Argument Component Extraction in Low Resource Settings
Anirudh JoshiTimothy BaldwinRichard SinnottCecile Paris
2019-11-01
Detect Toxic Content to Improve Online Conversations
Deepshi MedirattaNikhil Oswal
2019-10-29
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi FeyisetanBorja BalleThomas DrakeTom Diethe
2019-10-20
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
| Eric WallaceYizhong WangSujian LiSameer SinghMatt Gardner
2019-09-17
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Bailin WangIvan TitovMirella Lapata
2019-09-09
RNN Architecture Learning with Sparse Regularization
Jesse DodgeRoy SchwartzHao PengNoah A. Smith
2019-09-06
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Binxuan HuangKathleen M. Carley
2019-09-05
Affect Enriched Word Embeddings for News Information Retrieval
Tommaso TeofiliNiyati Chhaya
2019-09-04
Dialogue Act Classification in Team Communication for Robot Assisted Disaster Response
Tatiana AnikinaIvana Kruijff-Korbayova
2019-09-01
Sparse Victory -- A Large Scale Systematic Comparison of count-based and prediction-based vectorizers for text classification
Rupak ChakrabortyAshima ElhenceKapil Arora
2019-09-01
ViCo: Word Embeddings from Visual Co-occurrences
| Tanmay GuptaAlexander SchwingDerek Hoiem
2019-08-22
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives
Zhengxuan WuYueyi Jiang
2019-08-15
[email protected] at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets
Javier Cortes-TejadaJuan Martinez-RomoLourdes Araujo
2019-08-01
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
Joel Escud{\'e} FontMarta R. Costa-juss{\`a}
2019-08-01
Analysis of Word Embeddings using Fuzzy Clustering
Shahin AtakishiyevMarek Z. Reformat
2019-07-17
Obj-GloVe: Scene-Based Contextual Object Embedding
Canwen XuZhenzhong ChenChenliang Li
2019-07-02
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Aditya JoshiSarvnaz KarimiRoss SparksCecile ParisC Raina MacIntyre
2019-06-13
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks
Ziyi YangChenguang ZhuVin SachidanandaEric Darve
2019-06-10
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
| Karen AvetisyanTsolak Ghukasyan
2019-06-07
Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences
Procheta SenDebasis GangulyGareth Jones
2019-06-01
E-LSTM at SemEval-2019 Task 3: Semantic and Sentimental Features Retention for Emotion Detection in Text
Harsh Patel
2019-06-01
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks
Marco PolignanoMarco de GemmisGiovanni Semeraro
2019-06-01
YUN-HPCC at SemEval-2019 Task 3: Multi-Step Ensemble Neural Network for Sentiment Analysis in Textual Conversation
Dawei LiJin WangXuejie Zhang
2019-06-01
JU\_ETCE\_17\_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets
| Preeti MukherjeeMainak PalSomnath BanerjeeSudip Kumar Naskar
2019-06-01
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks
Angel SuseelanRajalakshmi SLogesh BHarshini SGeetika BDyaneswaran SS Milton RajendramMirnalinee T T
2019-06-01
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
Armin SeyeditabariNarges TabariShafie GholizadeWlodek Zadrozny
2019-05-31
Poincare Glove: Hyperbolic Word Embeddings
| Alexandru Tifrea*Gary Becigneul*Octavian-Eugen Ganea*
2019-05-01
On Learning Word Embeddings From Linguistically Augmented Text Corpora
Amila SilvaChathurika Amarathunga
2019-05-01
An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression
Sandip ModhaPrasenjit Majumder
2019-04-16
Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy
Rohollah SoltaniAlexandre Tomberg
2019-04-11
Alternative Weighting Schemes for ELMo Embeddings
| Nils ReimersIryna Gurevych
2019-04-05
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis
Laura BostanRoman Klinger
2019-04-05
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
| Michael A. HedderichAndrew YatesDietrich KlakowGerard de Melo
2019-04-02
Deep Learning and Word Embeddings for Tweet Classification for Crisis Response
Reem ALRashdiSimon O'Keefe
2019-03-26
On Measuring Social Biases in Sentence Encoders
| Chandler MayAlex WangShikha BordiaSamuel R. BowmanRachel Rudinger
2019-03-25
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
Gerhard WohlgenanntEkaterina ChernyakDmitry IlvovskyAriadna BarinovaDmitry Mouromtsev
2019-03-04
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
Daniel C. EltonDhruv TurakhiaNischal ReddyZois BoukouvalasMark D. FugeRuth M. DohertyPeter W. Chung
2019-03-01
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
| Felix WuBoyi LiLequn WangNi LaoJohn BlitzerKilian Q. Weinberger
2019-02-28
Global Vectors for Node Representations
| Robin BrochierAdrien GuilleJulien Velcin
2019-02-28
Improving a tf-idf weighted document vector embedding
Craig W. Schmidt
2019-02-26
Enhancing Clinical Concept Extraction with Contextual Embeddings
Yuqi SiJingqi WangHua XuKirk Roberts
2019-02-22
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
Erion ÇanoMaurizio Morisio
2019-02-02
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding
A. MishraH. MishraS. Rathee
2019-02-01
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques
| Joel Escudé FontMarta R. Costa-jussà
2019-01-10
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents
Artur NowakPaweł Kunstman
2019-01-07
Detecting weak and strong Islamophobic hate speech on social media
Bertie VidgenTaha Yasseri
2018-12-12
GLoMo: Unsupervised Learning of Transferable Relational Graphs
Zhilin YangJake ZhaoBhuwan DhingraKaiming HeWilliam W. CohenRuslan R. SalakhutdinovYann Lecun
2018-12-01
A Deterministic Algorithm for Bridging Anaphora Resolution
Yufang Hou
2018-11-14
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis
Kelly ZhangSamuel Bowman
2018-11-01
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
| Ajay PatelAlexander SandsChris Callison-BurchMarianna Apidianaki
2018-10-26
pioNER: Datasets and Baselines for Armenian Named Entity Recognition
| Tsolak GhukasyanGarnik DavtyanKaren AvetisyanIvan Andrianov
2018-10-19
Analysis of Railway Accidents' Narratives Using Deep Learning
Mojtaba HeidarysafaKamran KowsariLaura E. BarnesDonald E. Brown
2018-10-17
Poincaré GloVe: Hyperbolic Word Embeddings
Alexandru TifreaGary BécigneulOctavian-Eugen Ganea
2018-10-15
A Comparative Study of Neural Network Models for Sentence Classification
Phuong Le-HongAnh-Cuong Le
2018-10-03
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
| Xinnuo XuOnd{\v{r}}ej Du{\v{s}}ekIoannis KonstasVerena Rieser
2018-10-01
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing
| Samuel PecarMichal FarkasMarian SimkoPeter LackoMaria Bielikova
2018-10-01
Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes
Sk MuralidharaLaurent NguyenDaniel Gatica-Perez
2018-10-01
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis
Kelly W. ZhangSamuel R. Bowman
2018-09-26
Learning Gender-Neutral Word Embeddings
| Jieyu ZhaoYichao ZhouZeyu LiWei WangKai-Wei Chang
2018-08-29
Generating Text through Adversarial Training using Skip-Thought Vectors
| Afroz Ahamad
2018-08-27
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
Chongyang TaoWei WuCan XuYansong FengDongyan ZhaoRui Yan
2018-08-22
Expansional Retrofitting for Word Vector Enrichment
Hwiyeol Jo
2018-08-22
Punctuation Prediction Model for Conversational Speech
Piotr ŻelaskoPiotr SzymańskiJan MizgajskiAdrian SzymczakYishay CarmielNajim Dehak
2018-07-02
Unsupervised Learning of Distributional Relation Vectors
Shoaib JameelZied BouraouiSteven Schockaert
2018-07-01
Natural Language Inference with Definition Embedding Considering Context On the Fly
Kosuke NishidaKyosuke NishidaHisako AsanoJunji Tomita
2018-07-01
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization
Jilei WangShiying LuoWeiyan ShiTao DaiShu-Tao Xia
2018-07-01
Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora
Vikram RamanarayananRobert Pugh
2018-07-01
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
| Zhilin YangJake ZhaoBhuwan DhingraKaiming HeWilliam W. CohenRuslan SalakhutdinovYann LeCun
2018-06-14
Interactive Classification for Deep Learning Interpretation
| Ángel Alexander CabreraFred HohmanJason LinDuen Horng Chau
2018-06-14
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings
Subba Reddy OotaNaresh ManwaniBapi Raju S
2018-06-13
Closed Form Word Embedding Alignment
Sunipa DevSafia HassanJeff M. Phillips
2018-06-04
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio PetroniVassilis PlachourasTimothy NugentJochen L. Leidner
2018-06-01
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection
Anon GeorgeBarathi Ganesh H. B.An Kumar MSoman K P
2018-06-01
IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media
Aniruddha GhoshTony Veale
2018-06-01
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields
Manik RanKrishna MadgulaSnehanshu Saha
2018-06-01
AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.
Vivek VinayanAn Kumar MSoman K P
2018-06-01
YNU\_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension
Peng DingXiaobing Zhou
2018-06-01
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task
Jiangnan Xia
2018-06-01
What the Vec? Towards Probabilistically Grounded Embeddings
Carl AllenIvana BalaževićTimothy Hospedales
2018-05-30
Using Statistical and Semantic Models for Multi-Document Summarization
Divyanshu DaiyaAnukarsh SinghMukesh Jadon
2018-05-11
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
| Hwiyeol JoStanley Jungkyu Choi
2018-04-21
Mittens: An Extension of GloVe for Learning Domain-Specialized Representations
| Nicholas DingwallChristopher Potts
2018-03-27
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
| Sanjeev AroraMikhail KhodakNikunj SaunshiKiran Vodrahalli
2018-01-01
Towards Building Affect sensitive Word Distributions
Kushal ChawlaSopan KhoslaNiyati ChhayaKokil Jaidka
2018-01-01
Comparison of Paragram and GloVe Results for Similarity Benchmarks
Jakub DutkiewiczCzesław Jędrzejek
2018-01-01
word representation or word embedding in Persian text
Siamak SarmadyErfan Rahmani
2017-12-18
IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches
DPrathyusha aPruthwik MishraSilpa KannegantiSoujanya Lanka
2017-12-01
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English
Nan WangJin WangXuejie Zhang
2017-12-01
SPINE: SParse Interpretable Neural Embeddings
| Anant SubramanianDanish PruthiHarsh JhamtaniTaylor Berg-KirkpatrickEduard Hovy
2017-11-23
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis
| Seyed Mahdi RezaeiniaAli GhodsiRouhollah Rahmani
2017-11-23
Modeling Semantic Relatedness using Global Relation Vectors
Shoaib JameelZied BouraouiSteven Schockaert
2017-11-14
Multilingual Vector Representations of Words, Sentences, and Documents
Gerard de Melo
2017-11-01
Local Word Vectors Guiding Keyphrase Extraction
Eirini PapagiannopoulouGrigorios Tsoumakas
2017-10-20
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts
Arpita RoyYoungja ParkSHimei Pan
2017-09-21
Rotated Word Vector Representations and their Interpretability
| Sungjoon ParkJinYeong BakAlice Oh
2017-09-01
Predicting Word Association Strengths
Andrew CattleXiaojuan Ma
2017-09-01
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy AugusteArnaud ReyBenoit Favre
2017-09-01
Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees
Michal Konkol
2017-09-01
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Zhe ZhaoTao LiuShen LiBofang LiXiaoyong Du
2017-09-01
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
| Damien TeneyPeter AndersonXiaodong HeAnton van den Hengel
2017-08-09
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
David DonahueAlexey RomanovAnna Rumshisky
2017-08-01
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity
Yang Shao
2017-08-01
Learned in Translation: Contextualized Word Vectors
| Bryan McCannJames BradburyCaiming XiongRichard Socher
2017-08-01
CRNN: A Joint Neural Network for Redundancy Detection
Xinyu FuEugene Ch'ngUwe AickelinSimon See
2017-06-04
Relevance-based Word Embedding
Hamed ZamaniW. Bruce Croft
2017-05-09
EVE: Explainable Vector Based Embedding Technique Using Wikipedia
M. Atif QureshiDerek Greene
2017-02-22
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
| Jiaqi MuSuma BhatPramod Viswanath
2017-02-05
Personality Estimation from Japanese Text
Koichi KamijoTetsuya NasukawaHideya Kitamura
2016-12-01
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib JameelSteven Schockaert
2016-12-01
Word and Document Embeddings based on Neural Network Approaches
Siwei Lai
2016-11-18
Quasi-Recurrent Neural Networks
| James BradburyStephen MerityCaiming XiongRichard Socher
2016-11-05
Language Models with Pre-Trained (GloVe) Word Embeddings
| Victor MakarenkovBracha ShapiraLior Rokach
2016-10-12
Hash2Vec, Feature Hashing for Word Embeddings
Luis ArgerichJoaquín Torré ZaffaroniMatías J Cano
2016-08-31
Semantics derived automatically from language corpora contain human-like biases
Aylin CaliskanJoanna J. BrysonArvind Narayanan
2016-08-25
New word analogy corpus for exploring embeddings of Czech words
| Lukáš SvobodaTomáš Brychcín
2016-08-02
Query Expansion with Locally-Trained Word Embeddings
Fernando DiazBhaskar MitraNick Craswell
2016-05-25
Spanish Word Vectors from Wikipedia
Mathias EtcheverryDina Wonsever
2016-05-01
The hunvec framework for NN-CRF-based sequential tagging
Katalin PajkossyAttila Zs{\'e}der
2016-05-01
An Ensemble Method to Produce High-Quality Word Embeddings (2016)
Robyn SpeerJoshua Chin
2016-04-06
Multi-layer Representation Learning for Medical Concepts
| Edward ChoiMohammad Taha BahadoriElizabeth SearlesCatherine CoffeyJimeng Sun
2016-02-17
A Latent Variable Model Approach to PMI-based Word Embeddings
| Sanjeev AroraYuanzhi LiYingyu LiangTengyu MaAndrej Risteski
2015-02-12
Navigating the Semantic Horizon using Relative Neighborhood Graphs
Amaru Cuba GyllenstenMagnus Sahlgren
2015-01-12
Linking GloVe with word2vec
Tianze ShiZhiyuan Liu
2014-11-20
GloVe: Global Vectors for Word Representation
| Jeffrey PenningtonRichard SocherChristopher Manning
2014-10-01

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