Large language models (LLMs) possess a wealth of knowledge encoded in th...
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
Semantic matching is a mainstream paradigm of zero-shot relation extract...
The GPT-3.5 models have demonstrated impressive performance in various
N...
Transformer-based pre-trained models like BERT have achieved great progr...
The recent privacy leakage incidences and the more strict policy regulat...
By injecting a small number of poisoned samples into the training set,
b...
Various robustness evaluation methodologies from different perspectives ...
In a customer service system, dialogue summarization can boost service
e...
Cross-domain sentiment analysis is currently a hot topic in the research...
Recently, many works have tried to utilizing word lexicon to augment the...
In this work, we explore the way to perform named entity recognition (NE...
Word representation is a key component in neural-network-based sequence
...
Multiple Instance Learning (MIL) is concerned with learning from
bags of...
In recent years, long short-term memory (LSTM) has been successfully use...