Despite the success of ChatGPT, its performances on most NLP tasks are s...
Large language models (LLMs) have achieved impressive performance on var...
Numerical reasoning over table-and-text hybrid passages, such as financi...
In spite of the potential for ground-breaking achievements offered by la...
Solving math word problems is the task that analyses the relation of
qua...
Relation extraction (RE) has achieved remarkable progress with the help ...
Previous studies have introduced a weakly-supervised paradigm for solvin...
To solve Math Word Problems, human students leverage diverse reasoning l...
Contrastive pre-training on distant supervision has shown remarkable
eff...
Low resource speech recognition has been long-suffering from insufficien...
Meta learning with auxiliary languages has demonstrated promising
improv...
We present an open-access natural language processing toolkit for Japane...
We propose an ensemble model for predicting the lexical complexity of wo...
High-resolution remote sensing images can provide abundant appearance
in...
The interactive recommender systems involve users in the recommendation
...
Automatically solving math word problems is a critical task in the field...
Joint entity and relation extraction aims to extract relation triplets f...
Extracting event time from news articles is a challenging but attractive...
The global pandemic of COVID-19 has made the public pay close attention ...
We propose an AdversariaL training algorithm for commonsense InferenCE
(...
Sequence-to-sequence (S2S) pre-training using large monolingual data is ...