The pre-training-fine-tuning paradigm based on layout-aware multimodal
p...
To fully evaluate the overall performance of different NLP models in a g...
Existing knowledge-enhanced methods have achieved remarkable results in
...
Knowledge distillation is of key importance to launching multilingual
pr...
Parameter regularization or allocation methods are effective in overcomi...
Extreme multi-label text classification (XMTC) is the task of finding th...
Recent years have witnessed the rise and success of pre-training techniq...
Speech Entity Linking aims to recognize and disambiguate named entities ...
Recent efforts of multimodal Transformers have improved Visually Rich
Do...
Tag-aware recommendation is a task of predicting a personalized list of ...
Although pre-trained language models (PLMs) have achieved state-of-the-a...
Gazetteer is widely used in Chinese named entity recognition (NER) to en...
We solve a fundamental challenge in semiconductor IC design: the fast an...
Stylized image captioning systems aim to generate a caption not only
sem...
In multimodal tasks, we find that the importance of text and image modal...
In fine-grained image recognition (FGIR), the localization and amplifica...
Most recently proposed approaches in dialogue state tracking (DST) lever...
We propose a new architecture for artificial neural networks called
Hous...
What makes an artificial neural network easier to train and more likely ...
In order to facilitate natural language understanding, the key is to eng...
To leverage enormous unlabeled data on distributed edge devices, we form...
Knowledge of a disease includes information of various aspects of the
di...
We present a new benchmark dataset called PARADE for paraphrase
identifi...
Different people have different habits of describing their intents in
co...
How to build a high-quality multi-domain dialogue system is a challengin...
Lifelong learning remains an open problem. One of its main difficulties ...
Producing natural and accurate responses like human beings is the ultima...
User-generated item lists are popular on many platforms. Examples includ...
Dialogue systems dealing with multi-domain tasks are highly required. Ho...
The K-means algorithm is arguably the most popular data clustering metho...
This paper highlights our ongoing efforts to create effective informatio...