research
∙
04/03/2023
Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP
Automatic image editing has great demands because of its numerous applic...
share
research
∙
10/14/2022
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge
Although named entity recognition (NER) helps us to extract various doma...
research
∙
07/07/2022
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Humans can obtain the knowledge of novel visual concepts from language d...
research
∙
11/17/2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Multi-hop QA with annotated supporting facts, which is the task of readi...
research
∙
09/17/2021
Task-adaptive Pre-training of Language Models with Word Embedding Regularization
Pre-trained language models (PTLMs) acquire domain-independent linguisti...
research
∙
03/29/2020
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models
Pre-trained sequence-to-sequence (seq-to-seq) models have significantly ...
research
∙
01/21/2020
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
We propose a new length-controllable abstractive summarization model. Re...
research
∙
11/25/2019
Unsupervised Domain Adaptation of Language Models for Reading Comprehension
This study tackles unsupervised domain adaptation of reading comprehensi...
research
∙
05/21/2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Question answering (QA) using textual sources such as reading comprehens...
research
∙
01/08/2019