Text‐based question answering from information retrieval and deep neural network perspectives: A survey

Z Abbasiantaeb, S Momtazi - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
Text‐based question answering (QA) is a challenging task which aims at finding short
concrete answers for users' questions. This line of research has been widely studied with …

ExploitGen: Template-augmented exploit code generation based on CodeBERT

G Yang, Y Zhou, X Chen, X Zhang, T Han… - Journal of Systems and …, 2023 - Elsevier
Exploit code is widely used for detecting vulnerabilities and implementing defensive
measures. However, automatic generation of exploit code for security assessment is a …

RiFeGAN: Rich feature generation for text-to-image synthesis from prior knowledge

J Cheng, F Wu, Y Tian, L Wang… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Text-to-image synthesis is a challenging task that generates realistic images from a textual
sequence, which usually contains limited information compared with the corresponding …

Rumor detection on twitter with claim-guided hierarchical graph attention networks

H Lin, J Ma, M Cheng, Z Yang, L Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Rumors are rampant in the era of social media. Conversation structures provide valuable
clues to differentiate between real and fake claims. However, existing rumor detection …

Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition

R Kumari, N Ashok, T Ghosal, A Ekbal - Information Processing & …, 2021 - Elsevier
Fake news or misinformation is the information or stories intentionally created to deceive or
mislead the readers. Nowadays, social media platforms have become the ripe grounds for …

What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion

R Kumari, N Ashok, T Ghosal, A Ekbal - Information Processing & …, 2022 - Elsevier
One of the most time-critical challenges for the Natural Language Processing (NLP)
community is to combat the spread of fake news and misinformation. Existing approaches for …

Deep learning for matching in search and recommendation

J Xu, X He, H Li - The 41st International ACM SIGIR Conference on …, 2018 - dl.acm.org
Matching is the key problem in both search and recommendation, that is to measure the
relevance of a document to a query or the interest of a user on an item. Previously, machine …

AliCoCo: Alibaba e-commerce cognitive concept net

X Luo, L Liu, Y Yang, L Bo, Y Cao, J Wu, Q Li… - Proceedings of the …, 2020 - dl.acm.org
One of the ultimate goals of e-commerce platforms is to satisfy various shopping needs for
their customers. Much efforts are devoted to creating taxonomies or ontologies in e …

Divide and conquer: Text semantic matching with disentangled keywords and intents

Y Zou, H Liu, T Gui, J Wang, Q Zhang, M Tang… - arXiv preprint arXiv …, 2022 - arxiv.org
Text semantic matching is a fundamental task that has been widely used in various
scenarios, such as community question answering, information retrieval, and …

Bashexplainer: Retrieval-augmented bash code comment generation based on fine-tuned codebert

C Yu, G Yang, X Chen, K Liu… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Developers use shell commands for many tasks, such as file system management, network
control, and process management. Bash is one of the most commonly used shells and plays …