A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition.
Dingquan WangNanyun PengKevin DuhPublished in: IJCNLP(2) (2017)
Keyphrases
- cross lingual
- named entity recognition
- parallel corpus
- machine translation
- translation model
- transfer learning
- information extraction
- natural language processing
- word segmentation
- named entities
- statistical machine translation
- semi supervised
- word sense disambiguation
- language modeling
- co occurrence
- machine translation system
- conditional random fields
- text summarization
- cross language
- source language
- labeled data
- semi supervised learning
- target language
- text mining
- n gram
- language model
- bilingual dictionaries
- text classification
- cross language information retrieval
- unlabeled data
- learning algorithm
- query translation
- parallel corpora
- vector space
- machine learning
- information retrieval
- document clustering
- latent topics
- feature selection
- natural language
- question answering
- pairwise