Workshop on Vector Space Modeling for Natural Language Processing 2015 — accepted papers
Workshop on Vector Space Modeling for Natural Language Processing 2015 is the 2015 edition of the Workshop on Vector Space Modeling for Natural Language Processing, held in Denver, Colorado, June 2015 (publisher: Association for Computational Linguistics). OpenAlex lists 27 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Denver, Colorado · 🗓 June 2015
All accepted papers (27)
- A Deep Architecture for Non-Projective Dependency Parsing ↗Erick Fonseca, Sandra Aluísio
- A Multi-classifier Approach to support Coreference Resolution in a Vector Space Model ↗Ana Zelaia, Olatz Arregi, Basilio Sierra
- A Simple Word Embedding Model for Lexical Substitution ↗Oren Melamud, Omer Levy, Ido Dagan
- A Vector Space Approach for Aspect Based Sentiment Analysis ↗Abdulaziz Alghunaim, Mitra Mohtarami, Scott Cyphers et al.
- A Word-Embedding-based Sense Index for Regular Polysemy Representation ↗Marco Del Tredici, Núria Bel
- Bilingual Word Representations with Monolingual Quality in MindThang Luong, Hieu Pham, Christopher D. Manningour summary
- Combining Distributed Vector Representations for Words ↗Justin Garten, Kenji Sagae, Volkan Ustun et al.
- DeepNL: a Deep Learning NLP pipeline ↗Giuseppe Attardi
- Distributed Word Representations Improve NER for e-Commerce ↗Mahesh Joshi, Ethan Hart, Mirko Vogel et al.
- Distributional Representations of Words for Short Text Classification ↗Chenglong Ma, Weiqun Xu, Peijia Li et al.
- Distributional Semantic Concept Models for Entity Relation Discovery ↗Jay Urbain, Glenn Bushee, George Kowalski
- Estimating User Location in Social Media with Stacked Denoising Auto-encoders ↗Ji Liu, Diana Inkpen
- Learning Distributed Representations for Multilingual Text Sequences ↗Hieu Pham, Thang Luong, Christopher Manning
- Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study. ↗Garrett Nicolai, Colin Cherry, Grzegorz Kondrak
- Named Entity Recognition for Arabic Social MediaAyah Zirikly, Mona Diabour summary
- Neural context embeddings for automatic discovery of word senses ↗Mikael Kågebäck, Fredrik Johansson, Richard Johansson et al.
- Neural word embeddings with multiplicative feature interactions for tensor-based compositions ↗Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier
- Relation Extraction: Perspective from Convolutional Neural NetworksThien Huu Nguyen, Ralph Grishmanour summary
- Semantic Information Extraction for Improved Word Embeddings ↗Jiaqiang Chen, Gerard de Melo
- Short Text Clustering via Convolutional Neural Networks ↗Jiaming Xu, Peng Wang, Guanhua Tian et al.
- Simple Semi-Supervised POS Tagging ↗Karl Stratos, Michael Collins
- Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction ↗Sameer Singh, Tim Rocktäschel, Sebastian Riedel
- Unsupervised Text Normalization Using Distributed Representations of Words and Phrases ↗Vivek Kumar Rangarajan Sridhar
- Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words ↗Vivek Kumar Rangarajan Sridhar
Papers with our summary in our library (3)
- Relation Extraction: Perspective from Convolutional Neural NetworksWorkshop on Vector Space Modeling for Natural Language ProcessingThien Huu Nguyen, Ralph Grishman2015 · 592 citations
- Bilingual Word Representations with Monolingual Quality in MindWorkshop on Vector Space Modeling for Natural Language ProcessingThang Luong, Hieu Pham, Christopher D. Manning2015 · 456 citations
- Named Entity Recognition for Arabic Social MediaWorkshop on Vector Space Modeling for Natural Language ProcessingAyah Zirikly, Mona Diab2015 · 76 citations
Top topics
Named entity recognition (1)Information extraction (1)Semitic languages (1)
Fields
Arts and Humanities (3)Computer Science (3)
Top authors
🧑🔬Ralph Grishman1 work here · 592 citations🧑🔬Thien Huu Nguyen1 work here · 592 citations🧑🔬Christopher D. Manning1 work here · 456 citations🧑🔬Hieu Pham1 work here · 456 citations🧑🔬Thang Luong1 work here · 456 citations🧑🔬Ayah Zirikly1 work here · 76 citations🧑🔬Mona Diab1 work here · 76 citations
Top institutions
🎓George Washington UniversityWashington ·
United States1 work here🎓New York UniversityNew York ·
United States1 work here🎓Stanford UniversityStanford ·
United States1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/2015/