Knowledge-enhanced event relation extraction via event ontology prompt
L Zhuang, H Fei, P Hu - Information Fusion, 2023 - Elsevier
Identifying temporal and subevent relationships between different events (ie, event relation
extraction) is an important step towards event-centric natural language processing, which …
extraction) is an important step towards event-centric natural language processing, which …
Claret: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classification
Generating new events given context with correlated ones plays a crucial role in many event-
centric reasoning tasks. Existing works either limit their scope to specific scenarios or …
centric reasoning tasks. Existing works either limit their scope to specific scenarios or …
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities
Commonsense knowledge acquisition and reasoning have long been a core artificial
intelligence problem. However, in the past, there has been a lack of scalable methods to …
intelligence problem. However, in the past, there has been a lack of scalable methods to …
Acquiring and modeling abstract commonsense knowledge via conceptualization
Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …
mind and making inferences based on that, is a vital component in human intelligence for …
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
Commit messages are natural language descriptions of code changes, which are important
for software evolution such as code understanding and maintenance. However, previous …
for software evolution such as code understanding and maintenance. However, previous …
Improving event representation via simultaneous weakly supervised contrastive learning and clustering
Representations of events described in text are important for various tasks. In this work, we
present SWCC: a Simultaneous Weakly supervised Contrastive learning and Clustering …
present SWCC: a Simultaneous Weakly supervised Contrastive learning and Clustering …
Optimizing search advertising strategies: Integrating reinforcement learning with generalized second-price auctions for enhanced ad ranking and bidding
This paper explores the integration of strategic optimization methods in search advertising,
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …
A generative approach for script event prediction via contrastive fine-tuning
Script event prediction aims to predict the subsequent event given the context. This requires
the capability to infer the correlations between events. Recent works have attempted to …
the capability to infer the correlations between events. Recent works have attempted to …
Automatic News Generation and Fact-Checking System Based on Language Processing
This paper explores an automatic news generation and fact-checking system based on
language processing, aimed at enhancing the efficiency and quality of news production …
language processing, aimed at enhancing the efficiency and quality of news production …
Script event prediction via multilingual event graph networks
B Zhou, Y Chen, K Liu, J Zhao - ACM Transactions on Asian and Low …, 2022 - dl.acm.org
Predicting what happens next in text plays a critical role in building NLP applications. Many
methods including count-based and neural-network-based have been proposed to tackle …
methods including count-based and neural-network-based have been proposed to tackle …