Automatic image editing has great demands because of its numerous
applic...
Although named entity recognition (NER) helps us to extract various
doma...
Humans can obtain the knowledge of novel visual concepts from language
d...
Multi-hop QA with annotated supporting facts, which is the task of readi...
Pre-trained language models (PTLMs) acquire domain-independent linguisti...
Recent studies on machine reading comprehension have focused on text-lev...
One of the problems with automated audio captioning (AAC) is the
indeter...
Pre-trained sequence-to-sequence (seq-to-seq) models have significantly
...
We propose a new length-controllable abstractive summarization model. Re...
This study tackles unsupervised domain adaptation of reading comprehensi...
Conversational machine comprehension (CMC) requires understanding the co...
Question answering (QA) using textual sources such as reading comprehens...
Knowledge discovery from GPS trajectory data is an important topic in se...
This study focuses on the task of multi-passage reading comprehension (R...
This study considers the task of machine reading at scale (MRS) wherein,...