Abstract is missing.
- Front Matter [doi]
- A Simple Word Embedding Model for Lexical SubstitutionOren Melamud, Omer Levy, Ido Dagan. 1-7 [doi]
- Unsupervised Text Normalization Using Distributed Representations of Words and PhrasesVivek Kumar Rangarajan Sridhar. 8-16 [doi]
- A Multi-classifier Approach to support Coreference Resolution in a Vector Space ModelAna Zelaia, Olatz Arregi, Basilio Sierra. 17-24 [doi]
- Neural context embeddings for automatic discovery of word sensesMikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi. 25-32 [doi]
- Distributional Representations of Words for Short Text ClassificationChenglong Ma, Weiqun Xu, Peijia Li, Yonghong Yan 0002. 33-38 [doi]
- Relation Extraction: Perspective from Convolutional Neural NetworksThien Huu Nguyen, Ralph Grishman. 39-48 [doi]
- Distributional Semantic Concept Models for Entity Relation DiscoveryJay Urbain, Glenn Bushee, George Kowalski. 49-55 [doi]
- A Deep Architecture for Non-Projective Dependency ParsingErick Rocha Fonseca, Sandra M. Aluísio. 56-61 [doi]
- Short Text Clustering via Convolutional Neural NetworksJiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao. 62-69 [doi]
- A Word-Embedding-based Sense Index for Regular Polysemy RepresentationMarco Del Tredici, Núria Bel. 70-78 [doi]
- Simple Semi-Supervised POS TaggingKarl Stratos, Michael Collins. 79-87 [doi]
- Learning Distributed Representations for Multilingual Text SequencesHieu Pham, Thang Luong, Christopher D. Manning. 88-94 [doi]
- Combining Distributed Vector Representations for WordsJustin Garten, Kenji Sagae, Volkan Ustun, Morteza Dehghani. 95-101 [doi]
- Dependency Link Embeddings: Continuous Representations of Syntactic SubstructuresMohit Bansal. 102-108 [doi]
- DeepNL: a Deep Learning NLP pipelineGiuseppe Attardi. 109-115 [doi]
- A Vector Space Approach for Aspect Based Sentiment AnalysisAbdulaziz Alghunaim, Mitra Mohtarami, Scott Cyphers, Jim Glass. 116-122 [doi]
- Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV ParsingMelanie Tosik, Carsten Lygteskov Hansen, Gerard Goossen, Mihai Rotaru. 123-128 [doi]
- Morpho-syntactic Regularities in Continuous Word Representations: A multilingual studyGarrett Nicolai, Colin Cherry, Grzegorz Kondrak. 129-134 [doi]
- Towards Combined Matrix and Tensor Factorization for Universal Schema Relation ExtractionSameer Singh 0001, Tim Rocktäschel, Sebastian Riedel. 135-142 [doi]
- Neural word embeddings with multiplicative feature interactions for tensor-based compositionsJoo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier. 143-150 [doi]
- Bilingual Word Representations with Monolingual Quality in MindThang Luong, Hieu Pham, Christopher D. Manning. 151-159 [doi]
- Distributed Word Representations Improve NER for e-CommerceMahesh Joshi, Ethan Hart, Mirko Vogel, Jean-David Ruvini. 160-167 [doi]
- Semantic Information Extraction for Improved Word EmbeddingsJiaqiang Chen, Gerard de Melo. 168-175 [doi]
- Named Entity Recognition for Arabic Social MediaAyah Zirikly, Mona T. Diab. 176-185 [doi]
- Vector Space Models for Scientific Document SummarizationJohn M. Conroy, Sashka Davis. 186-191 [doi]
- Unsupervised Topic Modeling for Short Texts Using Distributed Representations of WordsVivek Kumar Rangarajan Sridhar. 192-200 [doi]
- Estimating User Location in Social Media with Stacked Denoising Auto-encodersJi Liu, Diana Inkpen. 201-210 [doi]