Search Results for author:
Found 6 papers, 4 papers with code
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation
In simultaneous machine translation, finding an agent with the optimal action sequence of reads and writes that maintain a high level of translation quality while minimizing the average lag in producing target tokens remains an extremely challenging problem.
SpEL: Structured Prediction for Entity Linking
Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source.
Ranked #1 on
Entity Linking
on AIDA/testc
(using extra training data)
Better Neural Machine Translation by Extracting Linguistic Information from BERT
Adding linguistic information (syntax or semantics) to neural machine translation (NMT) has mostly focused on using point estimates from pre-trained models.
Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
Neural machine translation (NMT) systems require large amounts of high quality in-domain parallel corpora for training.
Multi-class Multilingual Classification of Wikipedia Articles Using Extended Named Entity Tag Set
Wikipedia is a great source of general world knowledge which can guide NLP models better understand their motivation to make predictions.
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
The addition of syntax-aware decoding in Neural Machine Translation (NMT) systems requires an effective tree-structured neural network, a syntax-aware attention model and a language generation model that is sensitive to sentence structure.
