Abduction has long been seen as crucial for narrative comprehension and
...
Learning graph embeddings is a crucial task in graph mining tasks. An
ef...
To answer complex queries on knowledge graphs, logical reasoning over
in...
A complex logic query in a knowledge graph refers to a query expressed i...
Event temporal reasoning aims at identifying the temporal relations betw...
We propose and study Complementary Concept Generation (CCGen): given a
c...
Answering complex queries on knowledge graphs is important but particula...
Sentence-level representations are beneficial for various natural langua...
Reasoning on knowledge graphs is a challenging task because it utilizes
...
With the rapid progress of large language models (LLMs), many downstream...
Complex Query Answering (CQA) is an important and fundamental task for
k...
Determining the role of event arguments is a crucial subtask of event
ex...
Complex Query Answering (CQA) over Knowledge Graphs (KGs) has attracted ...
The choice of geometric space for knowledge graph (KG) embeddings can ha...
Practices in the built environment have become more digitalized with the...
Online encyclopedias, such as Wikipedia, have been well-developed and
re...
Though linguistic knowledge emerges during large-scale language model
pr...
Commonsense Knowledge Base (CSKB) Population aims at reasoning over unse...
In this paper, we propose a new task of sub-event generation for an unse...
Recently, the community has achieved substantial progress on many common...
Fine-tuning can be vulnerable to adversarial attacks. Existing works abo...
With the development of graph kernels and graph representation learning,...
The visual dialog task requires an AI agent to interact with humans in
m...
Answering complex logical queries on incomplete knowledge graphs (KGs) w...
Social chatbots, also known as chit-chat chatbots, evolve rapidly with l...
Graph neural networks (GNNs) and message passing neural networks (MPNNs)...
Complex Query Answering (CQA) is an important reasoning task on knowledg...
Resolving pronouns to their referents has long been studied as a fundame...
Visualization recommendation or automatic visualization generation can
s...
Recently, there is an effort to extend fine-grained entity typing by usi...
Discourse relations among arguments reveal logical structures of a debat...
In this paper, we propose a novel decentralized scalable learning framew...
Learning the representation of data with hierarchical structures in the
...
Sentiment analysis is an important task in natural language processing (...
Recently, much attention has been paid to the societal impact of AI,
esp...
Commonsense knowledge acquisition and reasoning have long been a core
ar...
Events are happening in real-world and real-time, which can be planned a...
Missing node attributes is a common problem in real-world graphs. Graph
...
Character linking, the task of linking mentioned people in conversations...
Graph convolutional networks have achieved great success on graph-struct...
Commonsense knowledge is crucial for artificial intelligence systems to
...
Large-scale pre-trained language models have demonstrated strong knowled...
Causality knowledge is crucial for many artificial intelligence systems....
Computational and cognitive studies of event understanding suggest that
...
We address hypernymy detection, i.e., whether an is-a relationship exist...
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal...
Transfer learning has become a common practice for training deep learnin...
Student performance prediction is critical to online education. It can
b...
Computational and cognitive studies suggest that the abstraction of
even...
In this paper, we present the first comprehensive categorization of esse...