research
∙
09/10/2023
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation
Humans ask follow-up questions driven by curiosity, which reflects a cre...
share
research
∙
08/12/2023
Context-aware Event Forecasting via Graph Disentanglement
Event forecasting has been a demanding and challenging task throughout t...
research
∙
08/09/2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...
research
∙
06/29/2023
Exploring Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion
Sparse knowledge graph (KG) scenarios pose a challenge for previous Know...
research
∙
05/19/2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
Existing research on multimodal relation extraction (MRE) faces two co-e...
research
∙
05/19/2023
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate
Large Language Models (LLMs) have demonstrated human-like intelligence a...
research
∙
05/18/2023
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation
Goal-oriented Script Generation is a new task of generating a list of st...
research
∙
05/03/2023
Few-shot Event Detection: An Empirical Study and a Unified View
Few-shot event detection (ED) has been widely studied, while this brings...
research
∙
03/15/2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Large Language Models (LLMs) have made remarkable strides in various tas...
research
∙
11/07/2022
On Fork-free T-perfect Graphs
In an attempt to understanding the complexity of the independent set pro...
research
∙
10/22/2022
R^2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Document-level natural language inference (DOCNLI) is a new challenging ...
research
∙
10/11/2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
Given sufficient training data on the source domain, cross-domain few-sh...
research
∙
07/14/2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Knowledge Graphs (KGs) are becoming increasingly essential infrastructur...
research
∙
04/15/2022
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
Document-level Event Causality Identification (DECI) aims to identify ca...
research
∙
02/24/2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
In this paper, we propose an effective yet efficient model PAIE for both...
research
∙
02/02/2022
Modification Problems toward Proper (Helly) Circular-arc Graphs
We present a 9^k· n^O(1)-time algorithm for the proper circular-arc vert...
research
∙
01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
research
∙
01/17/2022
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment
Self-supervised entity alignment (EA) aims to link equivalent entities a...
research
∙
01/14/2022
Training Free Graph Neural Networks for Graph Matching
We present TFGM (Training Free Graph Matching), a framework to boost the...
research
∙
08/03/2021
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
We present InferWiki, a Knowledge Graph Completion (KGC) dataset that im...
research
∙
07/26/2021
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
Knowledge Graph (KG) and attention mechanism have been demonstrated effe...
research
∙
06/29/2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
Few-shot Named Entity Recognition (NER) exploits only a handful of annot...
research
∙
04/30/2021
Complementation in t-perfect graphs
Inspired by applications of perfect graphs in combinatorial optimization...
research
∙
04/29/2021
Improved Kernels for Edge Modification Problems
In an edge modification problem, we are asked to modify at most k edges ...
research
∙
04/14/2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Multi-hop reasoning has been widely studied in recent years to obtain mo...
research
∙
11/27/2020
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG...
research
∙
10/07/2020
Recognizing (Unit) Interval Graphs by Zigzag Graph Searches
Corneil, Olariu, and Stewart [SODA 1998; SIAM Journal on Discrete Mathem...
research
∙
10/07/2020
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Entity alignment (EA) aims at building a unified Knowledge Graph (KG) of...
research
∙
07/06/2020
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval
The rapid growth of user-generated videos on the Internet has intensifie...
research
∙
05/02/2020
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
The curse of knowledge can impede communication between experts and laym...
research
∙
04/21/2020
Enumerating Maximal Induced Subgraphs
Given a graph G, the maximal induced subgraphs problem asks to enumerate...
research
∙
03/25/2020
Polynomial Kernels for Paw-free Edge Modification Problems
Let H be a fixed graph. Given a graph G and an integer k, the H-free edg...
research
∙
03/12/2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Properly handling missing data is a fundamental challenge in recommendat...
research
∙
09/28/2019
Characterization and Linear-time Recognition of Paired Threshold Graphs
In a paired threshold graph, each vertex has a weight, and two vertices ...
research
∙
08/26/2019
Multi-Channel Graph Neural Network for Entity Alignment
Entity alignment typically suffers from the issues of structural heterog...
research
∙
08/26/2019
Low-Resource Name Tagging Learned with Weakly Labeled Data
Name tagging in low-resource languages or domains suffers from inadequat...
research
∙
08/12/2019
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Fashion knowledge helps people to dress properly and addresses not only ...
research
∙
07/08/2019
Improving Neural Relation Extraction with Implicit Mutual Relations
Relation extraction (RE) aims at extracting the relation between two ent...
research
∙
05/23/2019
Graph Searches and Their End Vertices
Graph search, the process of visiting vertices in a graph in a specific ...
research
∙
05/20/2019
KGAT: Knowledge Graph Attention Network for Recommendation
To provide more accurate, diverse, and explainable recommendation, it is...
research
∙
02/17/2019
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
Incorporating knowledge graph (KG) into recommender system is promising ...
research
∙
11/27/2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Joint representation learning of words and entities benefits many NLP ta...
research
∙
11/21/2018
Neural Collective Entity Linking
Entity Linking aims to link entity mentions in texts to knowledge bases,...
research
∙
11/12/2018
Explainable Reasoning over Knowledge Graphs for Recommendation
Incorporating knowledge graph into recommender systems has attracted inc...
research
∙
09/07/2018
Local Coloring and its Complexity
A k-coloring of a graph is an assignment of integers between 1 and k to ...
research
∙
04/09/2018
A 5k-vertex Kernel for P_2-packing
The P_2-packing problem asks for whether a graph contains k vertex-disjo...
research
∙
03/09/2018
A Polynomial Kernel for Diamond-Free Editing
An H-free editing problem asks whether we can edit at most k edges to ma...
research
∙
01/31/2018
Visually Explainable Recommendation
Images account for a significant part of user decisions in many applicat...
research
∙
11/17/2017
