Search Results for author:
Found 9 papers, 1 papers with code
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection
The survey of translations suggests that the mistakenly-aligned triggers in the expanded data negatively influences the retraining process.
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation
The former aims to adapt to characteristics of low-resource languages during encoding, while the latter adapts to translation experiences learned from high-resource languages.
Feature-level Incongruence Reduction for Multimodal Translation
Besides of linguistic features in captions, MNMT allows visual(image) features to be used.
Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction
The current aspect extraction methods suffer from boundary errors.
Ranked #2 on
Aspect Extraction
on SemEval 2015 Task 12
Using active learning to expand training data for implicit discourse relation recognition
We tackle discourse-level relation recognition, a problem of determining semantic relations between text spans.
Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition
In particular, we incorporate image processing into the acquisition of similar event instances, including the utilization of images for visually representing event scenes, and the use of the neural network based image matching for approximate calculation between events.
Image-Image Search for Comparable Corpora Construction
We present a novel method of comparable corpora construction.
