Accepted Papers / Extended Abstracts

CHARACTER-LEVEL SUPERVISION FOR LOW-RESOURCE POS TAGGING

Katharina Kann, Johannes Bjerva, Isabelle Augenstein, Barbara Plank and Anders Søgaard


COMPOSITIONAL LANGUAGE MODELING FOR ICON-BASED AUGMENTATIVE AND ALTERNATIVE COMMUNICATION

Shiran Dudy and Steven Bedrick


DEPENDENCY PARSING OF CODE-SWITCHING DATA WITH CROSS-LINGUAL FEATURE REPRESENTATIONS

KyungTae Lim, Niko Partanen, Michael Rießler and Thierry Poibeau


DOMAIN ADAPTED WORD EMBEDDINGS FOR IMPROVED SENTIMENT CLASSIFICATION

Prathusha Kameswara Sarma, Yingyu Liang and Bill Sethares


EMBEDDING TRANSFER FOR LOW-RESOURCE MEDICAL NAMED ENTITY RECOGNITION: A CASE STUDY ON PATIENT MOBILITY

Denis Newman-Griffis and Ayah Zirikly


EXPLOITING CROSS-LINGUAL SUBWORD SIMILARITIES IN LOW-RESOURCE DOCUMENT CLASSIFICATION

Mozhi Zhang, Yoshinari Fujinuma and Jordan Boyd-Graber


INVESTIGATING EFFECTIVE PARAMETERS FOR FINE-TUNING OF WORD EMBEDDINGS USING ONLY A SMALL CORPUS

Kanako Komiya and Hiroyuki Shinnou


LOW-RANK PASSTHROUGH NEURAL NETWORKS

Antonio Valerio Miceli Barone


MORPHOLOGICAL NEIGHBORS BEAT WORD2VEC ON THE LONG TAIL

Clayton Greenberg, Mittul Singh and Dietrich Klakow


MULTI-TASK ACTIVE LEARNING FOR NEURAL SEMANTIC ROLE LABELING ON LOW RESOURCE CONVERSATIONAL CORPUS

Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman, Alfan Farizki Wicaksono and Rahmad Mahendra


MULTI-TASK LEARNING FOR HISTORICAL TEXT NORMALIZATION: SIZE MATTERS

Marcel Bollmann, Anders Søgaard and Joachim Bingel


MULTIMODAL NEURAL MACHINE TRANSLATION FOR LOW-RESOURCE LANGUAGE PAIRS USING SYNTHETIC DATA

Koel Dutta Chowdhury, Mohammed Hasanuzzaman and Qun Liu


PHRASE-BASED & NEURAL UNSUPERVISED MACHINE TRANSLATION

Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer and Marc'Aurelio Ranzato


SEMI-SUPERVISED LEARNING WITH AUXILIARY EVALUATION COMPONENT FOR LARGE SCALE E-COMMERCE TEXT CLASSIFICATION

Mingkuan Liu, Musen Wen, Selcuk Kopru, Xianjing Liu and Alan Lu


TRAINING A NEURAL NETWORK IN A LOW-RESOURCE SETTING ON AUTOMATICALLY ANNOTATED NOISY DATA

Michael A. Hedderich and Dietrich Klakow