emnlp 2017 论文列表Proceedings of the First Workshop on Subword and Character Level Models in NLP, Copenhagen, Denmark, September 7, 2017. |
Improving Opinion-Target Extraction with Character-Level Word Embeddings.
Byte-based Neural Machine Translation.
Sub-character Neural Language Modelling in Japanese.
Neural Paraphrase Identification of Questions with Noisy Pretraining.
Inflection Generation for Spanish Verbs using Supervised Learning.
Reconstruction of Word Embeddings from Sub-Word Parameters.
A General-Purpose Tagger with Convolutional Neural Networks.
What do we need to know about an unknown word when parsing German.
Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language.
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation.
Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition.
Syllable-level Neural Language Model for Agglutinative Language.
Vowel and Consonant Classification through Spectral Decomposition.
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models.
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models.
Glyph-aware Embedding of Chinese Characters.
Character-based recurrent neural networks for morphological relational reasoning.
Weakly supervised learning of allomorphy.
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations.
A Syllable-based Technique for Word Embeddings of Korean Words.
Automated Word Stress Detection in Russian.
Character Based Pattern Mining for Neology Detection.
Learning variable length units for SMT between related languages via Byte Pair Encoding.
Character and Subword-Based Word Representation for Neural Language Modeling Prediction.