Multilingual semantic search is the task of retrieving relevant contents...
Punctuation restoration is an important task in automatic speech recogni...
Vulnerability to lexical perturbation is a critical weakness of automati...
Most weakly supervised named entity recognition (NER) models rely on
dom...
In this paper, we propose a novel speech emotion recognition model calle...
Since BERT (Devlin et al., 2018), learning contextualized word embedding...
Modern image captioning models are usually trained with text similarity
...
Despite the recent advancements in abstractive summarization systems
lev...
This study investigates how fake news uses a thumbnail for a news articl...
Demand for image editing has been increasing as users' desire for expres...
Acronym extraction is the task of identifying acronyms and their expande...
Named entity recognition (NER) is a task of extracting named entities of...
In this work, we focus on a more challenging few-shot intent detection
s...
In this paper, we propose QACE, a new metric based on Question Answering...
Despite the success of various text generation metrics such as BERTScore...
Applying generative adversarial networks (GANs) to text-related tasks is...
For the automatic evaluation of Generative Question Answering (genQA)
sy...
Even though BERT achieves successful performance improvements in various...
Adverse Drug Reaction (ADR) is a significant public health concern
world...
In digital environments where substantial amounts of information are sha...
In this work, we explore the impact of visual modality in addition to sp...
Reactive defense mechanisms, such as intrusion detection systems, have m...
In this study, we propose a novel graph neural network, called
propagate...
While deep learning techniques have shown promising results in many natu...
In this paper, we propose a novel method for a sentence-level
answer-sel...
In this paper, we are interested in exploiting textual and acoustic data...
Some news headlines mislead readers with overrated or false information,...
Speech emotion recognition is a challenging task, and extensive reliance...
The context-dependent nature of online aggression makes annotating large...
Network address shuffling is one of moving target defense (MTD) techniqu...
In this paper, we propose a novel end-to-end neural architecture for ran...
We propose a novel approach to learn word embeddings based on an extende...
In this paper, we propose an efficient transfer leaning methods for trai...