NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy
|
Yoav Goldberg
|
Paper Details:
Month: June
Year: 2014
Location: Ann Arbor, Michigan
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Product Classification in E-Commerce using Distributional Semantics
Vivek Gupta
|
Harish Karnick
|
Ashendra Bansal
|
Pradhuman Jhala
|
Improved Word Embeddings with Implicit Structure Information
Jie Shen
|
Cong Liu
|
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen
Aleksandr Drozd
|
Anna Gladkova
|
Satoshi Matsuoka
|
Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
|
Cong Bao
|
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Huda Hakami
|
Kohei Hayashi
|
Danushka Bollegala
|
What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
|
Shashwath Hosur Ananthakrishna
|
Anna Rumshisky
|
Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms
Jingshu Liu
|
Emmanuel Morin
|
Peña Saldarriaga
|
Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Dmitrijs Milajevs
|
Dimitri Kartsaklis
|
Mehrnoosh Sadrzadeh
|
Matthew Purver
|
Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging
Yuta Tsuboi
|
Glove: Global Vectors for Word Representation
Jeffrey Pennington
|
Richard Socher
|
Christopher Manning
|
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li
|
Jun Zhu
|
Chunyan Miao
|
Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
Likun Qiu
|
Yue Zhang
|
Yanan Lu
|
The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren
|
Alessandro Lenci
|
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Zhe Zhao
|
Tao Liu
|
Shen Li
|
Bofang Li
|
Xiaoyong Du
|
Exploiting Morphological Regularities in Distributional Word Representations
Arihant Gupta
|
Syed Sarfaraz Akhtar
|
Avijit Vajpayee
|
Arjit Srivastava
|
Madan Gopal Jhanwar
|
Manish Shrivastava
|
Exploring Vector Spaces for Semantic Relations
Kata Gábor
|
Haïfa Zargayouna
|
Isabelle Tellier
|
Davide Buscaldi
|
Thierry Charnois
|
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
Bofang Li
|
Tao Liu
|
Zhe Zhao
|
Buzhou Tang
|
Aleksandr Drozd
|
Anna Rogers
|
Xiaoyong Du
|
Analogs of Linguistic Structure in Deep Representations
Jacob Andreas
|
Dan Klein
|
Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang
|
Jinghui Xie
|
Yinhe Zheng
|
Xuan Zhu
|
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio
|
Tsuneaki Kato
|
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel
|
Alexander Sands
|
Chris Callison-Burch
|
Marianna Apidianaki
|
Cross-Lingual Syntactically Informed Distributed Word Representations
Ivan Vulić
|
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
Shoaib Jameel
|
Steven Schockaert
|
Towards producing bilingual lexica from monolingual corpora
Jingyi Han
|
Núria Bel
|
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
Stéphan Tulkens
|
Chris Emmery
|
Walter Daelemans
|
Can Domain Adaptation be Handled as Analogies?
Núria Bel
|
Joel Pocostales
|
Corpus-based discovery of semantic intensity scales
Chaitanya Shivade
|
Marie-Catherine de Marneffe
|
Eric Fosler-Lussier
|
Albert M. Lai
|
Embedding a Semantic Network in a Word Space
Richard Johansson
|
Luis Nieto Piña
|
Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
|
Jesse Dodge
|
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Noah A. Smith
|
Black Holes and White Rabbits: Metaphor Identification with Visual Features
Ekaterina Shutova
|
Douwe Kiela
|
Jean Maillard
|
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
|
Ivan Titov
|
Gertjan van Noord
|
Retrofitting Sense-Specific Word Vectors Using Parallel Text
Allyson Ettinger
|
Philip Resnik
|
Marine Carpuat
|
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
Anna Gladkova
|
Aleksandr Drozd
|
Satoshi Matsuoka
|
Data-driven Paraphrasing and Stylistic Harmonization
Gerold Hintz
|
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
|
Vassilis Plachouras
|
Timothy Nugent
|
Jochen L. Leidner
|
Deep Generative Model for Joint Alignment and Word Representation
Miguel Rios
|
Wilker Aziz
|
Khalil Sima’an
|
Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang
|
Hsiang-Fu Yu
|
Cho-Jui Hsieh
|
Kai-Wei Chang
|
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models
Maximilian Köper
|
Sabine Schulte im Walde
|
Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates
|
Danushka Bollegala
|
The Word Analogy Testing Caveat
Natalie Schluter
|
Dependency-Based Word Embeddings
Omer Levy
|
Yoav Goldberg
|
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
Nghia The Pham
|
Germán Kruszewski
|
Angeliki Lazaridou
|
Marco Baroni
|
Model-based Word Embeddings from Decompositions of Count Matrices
Karl Stratos
|
Michael Collins
|
Daniel Hsu
|
Compressing Neural Language Models by Sparse Word Representations
Yunchuan Chen
|
Lili Mou
|
Yan Xu
|
Ge Li
|
Zhi Jin
|
Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
|
Hinrich Schütze
|
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
|
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle
|
Aline Villavicencio
|
Marco Idiart
|
Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar
|
Jun Araki
|
Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
Ivan Vulić
|
Anna Korhonen
|
Skip-Gram − Zipf + Uniform = Vector Additivity
Alex Gittens
|
Dimitris Achlioptas
|
Michael W. Mahoney
|
Subword-level Word Vector Representations for Korean
Sungjoon Park
|
Jeongmin Byun
|
Sion Baek
|
Yongseok Cho
|
Alice Oh
|
Analogical Reasoning on Chinese Morphological and Semantic Relations
Shen Li
|
Zhe Zhao
|
Renfen Hu
|
Wensi Li
|
Tao Liu
|
Xiaoyong Du
|
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
Daniel Fried
|
Peter Jansen
|
Gustave Hahn-Powell
|
Mihai Surdeanu
|
Peter Clark
|
Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy
|
Yoav Goldberg
|
Ido Dagan
|
Word Embeddings as Metric Recovery in Semantic Spaces
Tatsunori B. Hashimoto
|
David Alvarez-Melis
|
Tommi S. Jaakkola
|
A Latent Variable Model Approach to PMI-based Word Embeddings
Sanjeev Arora
|
Yuanzhi Li
|
Yingyu Liang
|
Tengyu Ma
|
Andrej Risteski
|
Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
Silvia Necşulescu
|
Sara Mendes
|
David Jurgens
|
Núria Bel
|
Roberto Navigli
|
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity
Hannah Bechara
|
Rohit Gupta
|
Liling Tan
|
Constantin Orăsan
|
Ruslan Mitkov
|
Josef van Genabith
|
Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess
Gillin Nat
|
Quantificational features in distributional word representations
Tal Linzen
|
Emmanuel Dupoux
|
Benjamin Spector
|
Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling
Maximilian Köper
|
Sabine Schulte im Walde
|
Max Kisselew
|
Sebastian Padó
|
A Compositional-Distributional Semantic Model for Searching Complex Entity Categories
Juliano Efson Sales
|
André Freitas
|
Brian Davis
|
Siegfried Handschuh
|
What Analogies Reveal about Word Vectors and their Compositionality
Gregory Finley
|
Stephanie Farmer
|
Serguei Pakhomov
|
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Abhijeet Gupta
|
Gemma Boleda
|
Sebastian Padó
|
The (too Many) Problems of Analogical Reasoning with Word Vectors
Anna Rogers
|
Aleksandr Drozd
|
Bofang Li
|
SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs
|
Alessandro Lenci
|
Denis Paperno
|
Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
Pia Sommerauer
|
Antske Fokkens
|
Piek Vossen
|
Robust Handling of Polysemy via Sparse Representations
Abhijit Mahabal
|
Dan Roth
|
Sid Mittal
|
Unsupervised Mining of Analogical Frames by Constraint Satisfaction
Lance De Vine
|
Shlomo Geva
|
Peter Bruza
|
Multilingual Reliability and “Semantic” Structure of Continuous Word Spaces
Maximilian Köper
|
Christian Scheible
|
Sabine Schulte im Walde
|
A Simple Word Embedding Model for Lexical Substitution
Oren Melamud
|
Omer Levy
|
Ido Dagan
|
Combining Distributed Vector Representations for Words
Justin Garten
|
Kenji Sagae
|
Volkan Ustun
|
Morteza Dehghani
|
Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson
|
Luis Nieto Piña
|
Issues in evaluating semantic spaces using word analogies
Tal Linzen
|
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
|
Yulia Tsvetkov
|
Pushpendre Rastogi
|
Chris Dyer
|
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings
Mohammed Attia
|
Suraj Maharjan
|
Younes Samih
|
Laura Kallmeyer
|
Thamar Solorio
|
Context encoders as a simple but powerful extension of word2vec
Franziska Horn
|
Reconstruction of Word Embeddings from Sub-Word Parameters
Karl Stratos
|
Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases
Xing Niu
|
Marine Carpuat
|
Traversal-Free Word Vector Evaluation in Analogy Space
Xiaoyin Che
|
Nico Ring
|
Willi Raschkowski
|
Haojin Yang
|
Christoph Meinel
|
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste
|
Arnaud Rey
|
Benoit Favre
|
Sound Analogies with Phoneme Embeddings
Miikka P. Silfverberg
|
Lingshuang Mao
|
Mans Hulden
|
Extrapolation in NLP
Jeff Mitchell
|
Pontus Stenetorp
|
Pasquale Minervini
|
Sebastian Riedel
|
Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
|
Aleksandr Drozd
|
Tao Liu
|
Xiaoyong Du
|
Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
|
Aline Villavicencio
|
A Hybrid Learning Scheme for Chinese Word Embedding
Wenfan Chen
|
Weiguo Sheng
|
Jointly Embedding Entities and Text with Distant Supervision
Denis Newman-Griffis
|
Albert M Lai
|
Eric Fosler-Lussier
|
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
|
Antske Fokkens
|
Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro
|
Alípio Jorge
|
Distributional Effects of Gender Contrasts Across Categories
Timothee Mickus
|
Olivier Bonami
|
Denis Paperno
|
http://code.google.com/p/word2vec
Field Of Study
Linguistic Trends
Embeddings
Language
English
Similar Papers
THE INTONATIONAL STRUCTURING OF DISCOURSE
Julia Hirschberg
|
Janet Pierrehumbert
|
A computational account of comparative implicatures for a spoken dialogue agent
Luciana Benotti
|
David Traum
|
STRUCTURE AND INTONATION IN SPOKEN LANGUAGE UNDERSTANDING
Mark Steedman
|
Coordination and context-dependence in the generation of embodied conversation
Justine Cassell
|
Matthew Stone
|
Hao Yan
|
Gesture Theory is Linguistics: On Modelling Multimodality as Prosody
Dafydd Gibbon
|