Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Context (archaeology), Artificial intelligence, Sentence, Natural language processing, and Set (abstract data type).
Unsupervised Label Refinement Improves Dataless Text Classification
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
Simple and Effective Paraphrastic Similarity from Parallel Translations
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
Generating Diverse Story Continuations with Controllable Semantics
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task
Broad Context Language Modeling as Reading Comprehension
Commonsense Knowledge Base Completion
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment