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SCLeM 2017
Home
Call for Papers
Organization
Schedule
Description & Ideas
Accepted Papers
SCLeM 2017
Home
Call for Papers
Organization
Schedule
Description & Ideas
Accepted Papers
More
Home
Call for Papers
Organization
Schedule
Description & Ideas
Accepted Papers
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
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