As large language models, such as GPT, continue to advance the capabilit...
Few-shot Named Entity Recognition (NER) is a task aiming to identify nam...
In-context learning is a new learning paradigm where a language model
co...
Label smoothing is a regularization technique widely used in supervised
...
While pre-trained Chinese language models have demonstrated impressive
p...
Due to the ambiguity of homophones, Chinese Spell Checking (CSC) has
wid...
In recent years, there is a surge of generation-based information extrac...
Named entity recognition (NER) is the task to detect and classify the en...
Panoptic image segmentation is the computer vision task of finding group...
Dialogue meaning representation formulates natural language utterance
se...
Chinese NER is a difficult undertaking due to the ambiguity of Chinese
c...
Knowledge and expertise in the real-world can be disjointedly owned. To ...
In dialogue systems, utterances with similar semantics may have distinct...
Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms...
Named Entity Recognition (NER) is the task of identifying spans that
rep...
Both performance and efficiency are crucial factors for sequence labelin...
Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarit...
A lot of natural language processing problems need to encode the text
se...
Reverse dictionary is the task to find the proper target word given the ...
We present fastHan, an open-source toolkit for four basic tasks in Chine...
Recently, the character-word lattice structure has been proved to be
eff...
Most existing deep multi-task learning models are based on parameter sha...
The Bidirectional long short-term memory networks (BiLSTM) have been wid...
The Bidirectional long short-term memory networks (BiLSTM) have been wid...
Different linguistic perspectives cause many diverse segmentation criter...
This paper sets a new foundation for data-driven inertial navigation
res...
Chinese word segmentation and dependency parsing are two fundamental tas...
Comparing with word embedding that based on the point representation,
di...
This paper proposes a novel data-driven approach for inertial navigation...
This paper proposes an algorithm that turns a regular video capturing ur...
This paper proposes a novel MAP inference framework for Markov Random Fi...