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Improving Lexical Embeddings with Semantic Knowledge
Mo Yu
|
Mark Dredze
|
Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib Jameel
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Steven Schockaert
|
Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong
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Yue Zhang
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Donghong Ji
|
Yinxia Lou
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Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye
|
Fang Li
|
Timothy Baldwin
|
Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
|
Niyati Chhaya
|
Kushal Chawla
|
Event Role Extraction using Domain-Relevant Word Representations
Emanuela Boroş
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Romaric Besançon
|
Olivier Ferret
|
Brigitte Grau
|
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Nanyun Peng
|
Mark Dredze
|
Component-Enhanced Chinese Character Embeddings
Yanran Li
|
Wenjie Li
|
Fei Sun
|
Sujian Li
|
Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke
|
Jose Camacho-Collados
|
Claudio Delli Bovi
|
Horacio Saggion
|
Morphological Priors for Probabilistic Neural Word Embeddings
Parminder Bhatia
|
Robert Guthrie
|
Jacob Eisenstein
|
Dict2vec : Learning Word Embeddings using Lexical Dictionaries
Julien Tissier
|
Christophe Gravier
|
Amaury Habrard
|
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
Goran Glavaš
|
Simone Paolo Ponzetto
|
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti
|
Ivan Vulić
|
Goran Glavaš
|
Nikola Mrkšić
|
Anna Korhonen
|
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
|
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting
Tomoyuki Kajiwara
|
Mamoru Komachi
|
Daichi Mochihashi
|
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
Olivier Ferret
|
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
|
Jose Camacho-Collados
|
Ignacio Iacobacci
|
Roberto Navigli
|
Learning Word Representations with Regularization from Prior Knowledge
Yan Song
|
Chia-Jung Lee
|
Fei Xia
|
Paraphrasing Out-of-Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation
Chenhui Chu
|
Sadao Kurohashi
|
Specialising Paragraph Vectors for Text Polarity Detection
Fabio Tamburini
|
Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource
Attila Novák
|
Borbála Novák
|
Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh
|
Lilja Øvrelid
|
Jan Tore Lønning
|
Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
|
Benjamin Van Durme
|
Raman Arora
|
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
|
Jesse Dodge
|
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Noah A. Smith
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić
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Diarmuid Ó Séaghdha
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Blaise Thomson
|
Milica Gašić
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Lina M. Rojas-Barahona
|
Pei-Hao Su
|
David Vandyke
|
Tsung-Hsien Wen
|
Steve Young
|
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
|
Goran Glavaš
|
Nikola Mrkšić
|
Anna Korhonen
|
Specialising Word Vectors for Lexical Entailment
Ivan Vulić
|
Nikola Mrkšić
|
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
|
Shuming Shi
|
Jing Li
|
Haisong Zhang
|
Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Goran Glavaš
|
Ivan Vulić
|
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Nicholas Dingwall
|
Christopher Potts
|
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
Guangyou Zhou
|
Tingting He
|
Jun Zhao
|
Po Hu
|
Sparse Overcomplete Word Vector Representations
Manaal Faruqui
|
Yulia Tsvetkov
|
Dani Yogatama
|
Chris Dyer
|
Noah A. Smith
|
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
Quan Liu
|
Hui Jiang
|
Si Wei
|
Zhen-Hua Ling
|
Yu Hu
|
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe
|
Hinrich Schütze
|
A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Nghia The Pham
|
Angeliki Lazaridou
|
Marco Baroni
|
Non-distributional Word Vector Representations
Manaal Faruqui
|
Chris Dyer
|
A Hierarchical Knowledge Representation for Expert Finding on Social Media
Yanran Li
|
Wenjie Li
|
Sujian Li
|
Embeddings for Word Sense Disambiguation: An Evaluation Study
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova
|
Laura Rimell
|
Trevor Cohn
|
Timothy Baldwin
|
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
|
Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar
|
Jun Araki
|
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
|
Waleed Ammar
|
Chris Dyer
|
Eduard Hovy
|
An Empirical Study on End-to-End Sentence Modelling
Kurt Junshean Espinosa
|
Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš
|
Ivan Vulić
|
Learning Composition Models for Phrase Embeddings
Mo Yu
|
Mark Dredze
|
evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting
|
Mohit Bansal
|
Kevin Gimpel
|
Karen Livescu
|
Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
|
Shashi Narayan
|
Shay B. Cohen
|
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić
|
Ivan Vulić
|
Diarmuid Ó Séaghdha
|
Ira Leviant
|
Roi Reichart
|
Milica Gašić
|
Anna Korhonen
|
Steve Young
|
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal
|
Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang
|
Bin Yuan
|
Dong Wang
|
Rong Liu
|
Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
|
Nigel Collier
|
Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification
Nut Limsopatham
|
Nigel Collier
|
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks
Savelie Cornegruta
|
Robert Bakewell
|
Samuel Withey
|
Giovanni Montana
|
Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation
Alexander Panchenko
|
Stefano Faralli
|
Simone Paolo Ponzetto
|
Chris Biemann
|
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes
|
Roman Klinger
|
Sabine Schulte im Walde
|
WordNet Embeddings
Chakaveh Saedi
|
António Branco
|
João António Rodrigues
|
João Silva
|
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
|
Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus
Kanako Komiya
|
Hiroyuki Shinnou
|
https://opennlp.apache.org/
https://github.com/Gorov/JointRCM
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Semantic Parsing
Semantic Similarity
Approach
Deep Learning
Graphical Model
Semi-supervised Learning
Unsupervised Learning
Language
English
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