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The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann
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Phil Blunsom
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences
Biao Zhang
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Deyi Xiong
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Jinsong Su
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Hong Duan
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Min Zhang
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Recursive Autoencoders for ITG-Based Translation
Peng Li
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Yang Liu
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Maosong Sun
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Simple Customization of Recursive Neural Networks for Semantic Relation Classification
Kazuma Hashimoto
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Makoto Miwa
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Yoshimasa Tsuruoka
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Takashi Chikayama
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Recurrent Continuous Translation Models
Nal Kalchbrenner
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Phil Blunsom
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Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Ivan Vulić
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Marie-Francine Moens
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A Neural Network for Factoid Question Answering over Paragraphs
Mohit Iyyer
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Jordan Boyd-Graber
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Leonardo Claudino
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Richard Socher
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Hal Daumé III
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Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Convolutional Neural Networks for Sentence Classification
Yoon Kim
|
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs
Miguel Ballesteros
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Chris Dyer
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Noah A. Smith
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Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
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Dimitri Kartsaklis
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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Discriminative Neural Sentence Modeling by Tree-Based Convolution
Lili Mou
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Hao Peng
|
Ge Li
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Yan Xu
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Lu Zhang
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Zhi Jin
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Learning Adjective Meanings with a Tensor-Based Skip-Gram Model
Jean Maillard
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Stephen Clark
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Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Tim Rocktäschel
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Sameer Singh
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Sebastian Riedel
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Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu
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Matthew R. Gormley
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Mark Dredze
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
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Raman Arora
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Matthew R. Gormley
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Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann
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Phil Blunsom
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A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
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Edward Grefenstette
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Phil Blunsom
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Political Ideology Detection Using Recursive Neural Networks
Mohit Iyyer
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Peter Enns
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Jordan Boyd-Graber
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Philip Resnik
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Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Duyu Tang
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Furu Wei
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Nan Yang
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Ming Zhou
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Ting Liu
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Bing Qin
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Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský
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Karl Moritz Hermann
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Phil Blunsom
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How much do word embeddings encode about syntax?
Jacob Andreas
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Dan Klein
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Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer
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Miguel Ballesteros
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Wang Ling
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Austin Matthews
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Noah A. Smith
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Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network
Qiao Qian
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Bo Tian
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Minlie Huang
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Yang Liu
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Xuan Zhu
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Xiaoyan Zhu
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Liberal Event Extraction and Event Schema Induction
Lifu Huang
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Taylor Cassidy
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Xiaocheng Feng
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Heng Ji
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Clare R. Voss
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Jiawei Han
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Avirup Sil
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A Walk-based Model on Entity Graphs for Relation Extraction
Fenia Christopoulou
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Makoto Miwa
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Sophia Ananiadou
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Grounded Compositional Semantics for Finding and Describing Images with Sentences
Richard Socher
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Andrej Karpathy
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Quoc V. Le
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Christopher D. Manning
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Andrew Y. Ng
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Learning Composition Models for Phrase Embeddings
Mo Yu
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Mark Dredze
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funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts
Quanzhi Li
|
Armineh Nourbakhsh
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Xiaomo Liu
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Rui Fang
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Sameena Shah
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funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter
Quanzhi Li
|
Sameena Shah
|
Armineh Nourbakhsh
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Rui Fang
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Xiaomo Liu
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Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
Jayant Krishnamurthy
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Tom Mitchell
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“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann
|
Edward Grefenstette
|
Phil Blunsom
|
Recurrent Convolutional Neural Networks for Discourse Compositionality
Nal Kalchbrenner
|
Phil Blunsom
|
A Deep Architecture for Semantic Parsing
Edward Grefenstette
|
Phil Blunsom
|
Nando de Freitas
|
Karl Moritz Hermann
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Low-Dimensional Embeddings of Logic
Tim Rocktäschel
|
Matko Bosnjak
|
Sameer Singh
|
Sebastian Riedel
|
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto
|
Yoshimasa Tsuruoka
|
Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh
|
Irina Illina
|
Dominique Fohr
|
Georges Linarès
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A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
Dmitrijs Milajevs
|
Sascha Griffiths
|
Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU Network
Dennis Singh Moirangthem
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Minho Lee
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A K-Competitive Autoencoder for Aggression Detection in Social Media Text
Promita Maitra
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Ritesh Sarkhel
|
Retrieval Term Prediction Using Deep Belief Networks
Qing Ma
|
Ibuki Tanigawa
|
Masaki Murata
|
Semi-automatic Filtering of Translation Errors in Triangle Corpus
Sung-Kwon Choi
|
Jong-Hun Shin
|
Young-Gil Kim
|
Acquiring distributed representations for verb-object pairs by using word2vec
Miki Iwai
|
Takashi Ninomiya
|
Kyo Kageura
|
http://www.karlmoritz.com/
http://www.karlmoritz.com/
http://www.metaoptimize.com/projects/
http://mpqa.cs.pitt.edu/
http://www.cs.cornell.edu/people/
http://homepages.inf.ed.ac.uk/mlap/
Field Of Study
Linguistic Trends
Lexical Semantics
Distributional Semantics
Embeddings
Syntax
Task
Semantic Similarity
Relation Extraction
Sentiment Analysis
Approach
Deep Learning
Semi-supervised Learning
Unsupervised Learning
Language
English
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