Abstract is missing.
- Sense Contextualization in a Dependency-Based Compositional Distributional ModelPablo Gamallo 0001. 1-9 [doi]
- Context encoders as a simple but powerful extension of word2vecFranziska Horn. 10-14 [doi]
- Machine Comprehension by Text-to-Text Neural Question GenerationXingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler. 15-25 [doi]
- Emergent Predication Structure in Hidden State Vectors of Neural ReadersHai Wang, Takeshi Onishi, Kevin Gimpel, David A. McAllester. 26-36 [doi]
- Towards Harnessing Memory Networks for Coreference ResolutionJoe Cheri Ross, Pushpak Bhattacharyya. 37-42 [doi]
- Combining Word-Level and Character-Level Representations for Relation Classification of Informal TextDongyun Liang, Weiran Xu, Yinge Zhao. 43-47 [doi]
- Transfer Learning for Neural Semantic ParsingXing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer. 48-56 [doi]
- Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base CompletionYelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao. 57-68 [doi]
- Knowledge Base Completion: Baselines Strike BackRudolf Kadlec, Ondrej Bajgar, Jan Kleindienst. 69-74 [doi]
- Sequential Attention: A Context-Aware Alignment Function for Machine ReadingSebastian Brarda, Philip Yeres, Samuel R. Bowman. 75-80 [doi]
- Semantic Vector Encoding and Similarity Search Using Fulltext Search EnginesJan Rygl, Jan Pomikálek, Radim Rehurek, Michal Ruzicka, Vít Novotný, Petr Sojka. 81-90 [doi]
- Multi-task Domain Adaptation for Sequence TaggingNanyun Peng, Mark Dredze. 91-100 [doi]
- Beyond Bilingual: Multi-sense Word Embeddings using Multilingual ContextShyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou. 101-110 [doi]
- DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document TaggingSheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad. 111-120 [doi]
- Binary Paragraph VectorsKarol Grzegorczyk, Marcin Kurdziel. 121-130 [doi]
- Representing Compositionality based on Multiple Timescales Gated Recurrent Neural Networks with Adaptive Temporal Hierarchy for Character-Level Language ModelsDennis Singh Moirangthem, Jegyung Son, Minho Lee. 131-138 [doi]
- Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine TranslationPranava Swaroop Madhyastha, Cristina España-Bonet. 139-145 [doi]
- Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame EmbeddingsTeresa Botschen, Hatem Mousselly Sergieh, Iryna Gurevych. 146-156 [doi]
- Learning Joint Multilingual Sentence Representations with Neural Machine TranslationHolger Schwenk, Matthijs Douze. 157-167 [doi]
- Transfer Learning for Speech Recognition on a BudgetJulius Kunze, Louis Kirsch, Ilia Kurenkov, Andreas Krug, Jens Johannsmeier, Sebastian Stober. 168-177 [doi]
- Gradual Learning of Matrix-Space Models of Language for Sentiment AnalysisShima Asaadi, Sebastian Rudolph. 178-185 [doi]
- Improving Language Modeling using Densely Connected Recurrent Neural NetworksFréderic Godin, Joni Dambre, Wesley De Neve. 186-190 [doi]
- NewsQA: A Machine Comprehension DatasetAdam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman. 191-200 [doi]
- Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter StreamsLawrence Phillips, Kyle Shaffer, Dustin Arendt, Nathan Oken Hodas, Svitlana Volkova. 201-210 [doi]
- Rethinking Skip-thought: A Neighborhood based ApproachShuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa. 211-218 [doi]
- A Frame Tracking Model for Memory-Enhanced Dialogue SystemsHannes Schulz, Jeremie Zumer, Layla El Asri, Shikhar Sharma. 219-227 [doi]
- Plan, Attend, Generate: Character-Level Neural Machine Translation with PlanningÇaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio. 228-234 [doi]
- Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based RepresentationsPaul Michel, Abhilasha Ravichander, Shruti Rijhwani. 235-240 [doi]
- Adversarial Generation of Natural LanguageSandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville. 241-251 [doi]
- Deep Active Learning for Named Entity RecognitionYanyao Shen, Hyokun Yun, Zachary Chase Lipton, Yakov Kronrod, Animashree Anandkumar. 252-256 [doi]
- Learning when to skim and when to readAlexander Rosenberg Johansen, Richard Socher. 257-264 [doi]
- Learning to Embed Words in Context for Syntactic TasksLifu Tu, Kevin Gimpel, Karen Livescu. 265-275 [doi]