naacl 2015 论文列表Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA. |
Estimating User Location in Social Media with Stacked Denoising Auto-encoders.
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words.
Vector Space Models for Scientific Document Summarization.
Named Entity Recognition for Arabic Social Media.
Semantic Information Extraction for Improved Word Embeddings.
Distributed Word Representations Improve NER for e-Commerce.
Bilingual Word Representations with Monolingual Quality in Mind.
Neural word embeddings with multiplicative feature interactions for tensor-based compositions.
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction.
Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study.
Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing.
A Vector Space Approach for Aspect Based Sentiment Analysis.
DeepNL: a Deep Learning NLP pipeline.
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures.
Combining Distributed Vector Representations for Words.
Learning Distributed Representations for Multilingual Text Sequences.
Simple Semi-Supervised POS Tagging.
A Word-Embedding-based Sense Index for Regular Polysemy Representation.
Short Text Clustering via Convolutional Neural Networks.
A Deep Architecture for Non-Projective Dependency Parsing.
Distributional Semantic Concept Models for Entity Relation Discovery.
Relation Extraction: Perspective from Convolutional Neural Networks.
Distributional Representations of Words for Short Text Classification.
Neural context embeddings for automatic discovery of word senses.
A Multi-classifier Approach to support Coreference Resolution in a Vector Space Model.
Unsupervised Text Normalization Using Distributed Representations of Words and Phrases.
A Simple Word Embedding Model for Lexical Substitution.