Abstract is missing.
- Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain DocumentsEdgar Altszyler, Mariano Sigman, Diego Fernández Slezak. 1-10 [doi]
- Hierarchical Convolutional Attention Networks for Text ClassificationShang Gao, Arvind Ramanathan, Georgia D. Tourassi. 11-23 [doi]
- Extrofitting: Enriching Word Representation and its Vector Space with Semantic LexiconsHwiyeol Jo, Stanley Jungkyu Choi. 24-29 [doi]
- Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU NetworkDennis Singh Moirangthem, Minho Lee. 30-40 [doi]
- Text Completion using Context-Integrated Dependency ParsingAmr Rekaby Salama, Özge Alaçam, Wolfgang Menzel. 41-49 [doi]
- Quantum-Inspired Complex Word EmbeddingQiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song 0001. 50-57 [doi]
- Natural Language Inference with Definition Embedding Considering Context On the FlyKosuke Nishida, Kyosuke Nishida, Hisako Asano, Junji Tomita. 58-63 [doi]
- Comparison of Representations of Named Entities for Document ClassificationLidia Pivovarova, Roman Yangarber. 64-68 [doi]
- Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional DecodingShuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa. 69-78 [doi]
- Connecting Supervised and Unsupervised Sentence EmbeddingsGil Levi. 79-83 [doi]
- A Hybrid Learning Scheme for Chinese Word EmbeddingWeiguo Sheng. 84-90 [doi]
- Unsupervised Random Walk Sentence Embeddings: A Strong but Simple BaselineKawin Ethayarajh. 91-100 [doi]
- Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name TypingYadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze. 101-106 [doi]
- A Dense Vector Representation for Open-Domain Relation TuplesAde Romadhony, Alfan Farizki Wicaksono, Ayu Purwarianti, Dwi Hendratmo Widyantoro. 107-112 [doi]
- Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix FactorizationJilei Wang, Shiying Luo, Weiyan Shi, Tao Dai, Shu-Tao Xia. 113-121 [doi]
- WordNet EmbeddingsChakaveh Saedi, António Branco, João António Rodrigues, João Silva 0004. 122-131 [doi]
- Knowledge Graph Embedding with Numeric Attributes of EntitiesYanrong Wu, Zhichun Wang. 132-136 [doi]
- Injecting Lexical Contrast into Word Vectors by Guiding Vector Space SpecialisationIvan Vulic. 137-143 [doi]
- Characters or Morphemes: How to Represent Words?Ahmet Üstün, Murathan Kurfali, Burcu Can. 144-153 [doi]
- Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for SequencesAthul Paul Jacob, Zhouhan Lin, Alessandro Sordoni, Yoshua Bengio. 154-158 [doi]
- Limitations of Cross-Lingual Learning from Image SearchMareike Hartmann, Anders Søgaard. 159-163 [doi]
- Learning Semantic Textual Similarity from ConversationsYinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. 164-174 [doi]
- Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document ClassificationKatherine Yu, Haoran Li, Barlas Oguz. 175-179 [doi]
- LSTMs Exploit Linguistic Attributes of DataNelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith. 180-186 [doi]
- Learning Distributional Token Representations from Visual FeaturesSamuel Broscheit. 187-194 [doi]
- Jointly Embedding Entities and Text with Distant SupervisionDenis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier. 195-206 [doi]
- A Sequence-to-Sequence Model for Semantic Role LabelingAngel Daza, Anette Frank. 207-216 [doi]
- Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsNikola Ljubesic, Darja Fiser, Anita Peti-Stantic. 217-222 [doi]