While recently Multimodal Large Language Models (MM-LLMs) have made exci...
Text-to-video (T2V) synthesis has gained increasing attention in the
com...
Recent studies have shown that dense retrieval models, lacking dedicated...
In the text-to-image generation field, recent remarkable progress in Sta...
Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...
It has been a hot research topic to enable machines to understand human
...
Dialogue relation extraction (DRE) that identifies the relations between...
Structured Natural Language Processing (XNLP) is an important subset of ...
Dialogue disentanglement aims to detach the chronologically ordered
utte...
Few-shot named entity recognition (NER) exploits limited annotated insta...
The existing emotion-cause pair extraction (ECPE) task, unfortunately,
i...
Unpaired cross-lingual image captioning has long suffered from irrelevan...
Latest efforts on cross-lingual relation extraction (XRE) aggressively
l...
In this work, we investigate a more realistic unsupervised multimodal ma...
Visual spatial description (VSD) aims to generate texts that describe th...
Existing research on multimodal relation extraction (MRE) faces two
co-e...
While sentiment analysis systems try to determine the sentiment polariti...
While developing a new vision-language LLM (VL-LLM) by pre-training on
t...
Aspect-based sentiment analysis (ABSA) aims at automatically inferring t...
Universally modeling all typical information extraction tasks (UIE) with...
The rapid development of aspect-based sentiment analysis (ABSA) within r...
Relation Extraction (RE) is a fundamental task of information extraction...
Conversation disentanglement aims to group utterances into detached sess...
Conversational semantic role labeling (CSRL) is a newly proposed task th...
Emotion cause pair extraction (ECPE), as one of the derived subtasks of
...
Voice conversion is to generate a new speech with the source content and...
The state-of-the-art model for structured sentiment analysis casts the t...
So far, named entity recognition (NER) has been involved with three majo...
In this paper, we propose to enhance the pair-wise aspect and opinion te...
End-to-end semantic role labeling (SRL) has been received increasing
int...
Aggressive language detection (ALD), detecting the abusive and offensive...
Lexical chain consists of cohesion words in a document, which implies th...
Syntax has been shown useful for various NLP tasks, while existing work
...
We consider retrofitting structure-aware Transformer-based language mode...
Current end-to-end semantic role labeling is mostly accomplished via
gra...
Prior studies show that cross-lingual semantic role labeling (SRL) can b...
Many efforts of research are devoted to semantic role labeling (SRL) whi...