Schedule

September 7, 2017

(Location: Nørrebros Runddel, CPH Conference-ground floor, Copenhagen, Denmark)

• 09:00-09:10 Opening Remarks
  • Hinrich Schuetze
• 09:10--09:50 Subword-level Information in NLP using Neural Networks (slides)
  • Invited Talk (Tomas Mikolov)

09:50--10:30 Chewing the Fat about Mincing Words (Slides)

• Invited Talk (Noah Smith)
• 10:30--11:00 Coffee break
• 11:00--11:40 Neural WFSTs: Tutorial Talk
  • Invited Talk (Ryan Cotterell)
• 11:40--12:10 Best paper awards (sponsor: Google) & presentations
  • 11:40--11:55 Character and Subword-Based Word Representation for Neural Language Modeling Prediction
    • Matthieu Labeau and Alexandre Allauzen
  • 11:55--12:10 Learning variable length units for SMT between related languages via Byte Pair Encoding
    • Anoop Kunchukuttan and Pushpak Bhattacharyya
• 12:10--14:00 Poster session & Lunch break
  • Character and Subword-Based Word Representation for Neural Language Modeling Prediction
  • Learning variable length units for SMT between related languages via Byte Pair Encoding
  • Character Based Pattern Mining for Neology Detection
  • Automated Word Stress Detection in Russian
  • A Syllable-based Technique for Word Embeddings of Korean Words
  • Supersense Tagging with a Combination of Character, Subword, and Word-level Representations
  • Weakly supervised learning of allomorphy
  • Character-based recurrent neural networks for morphological relational reasoning
  • Glyph-aware Embedding of Chinese Characters
  • Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models
  • Language Generation with Recurrent Generative Adversarial Networks without Pre-training
  • Natural Language Generation through Character-Based RNNs with Finite-State Prior Knowledge
  • Patterns versus Characters in Subword-aware Neural Language Modeling
• 14:00--14:40 Fully Character Level Neural Machine Translation (slides)
  • Invited Talk (Kyunghyun Cho)
• 14:40--15:50 Poster session & Coffee break
  • Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
  • Vowel and Consonant Classification through Spectral Decomposition
  • Syllable-level Neural Language Model for Agglutinative Language
  • Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition
  • Word Representation Models for Morphologically Rich Languages in Neural Machine Translation
  • Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language
  • What do we need to know about an unknown word when parsing German
  • A General-Purpose Tagger with Convolutional Neural Networks
  • Reconstruction of Word Embeddings from Sub-Word Parameters
  • Inflection Generation for Spanish Verbs using Supervised Learning
  • Neural Paraphrase Identification of Questions with Noisy Pretraining
  • Sub-character Neural Language Modelling in Japanese
  • Byte-based Neural Machine Translation
  • Improving Opinion-Target Extraction with Character-Level Word Embeddings
  • Align and Copy: Hard Attention Models for Morphological Inflection Generation
• 15:50--16:30 Acoustic Word Embeddings (slides)
  • Invited Talk (Karen Livescu)
• 16:30--17:30 Panel discussion
  • Kyunghyun Cho, Sharon Goldwater, Karen Livescu, Tomas Mikolov, Noah Smith
• 17:30--17:45 Closing remarks
  • Hinrich Schuetze