research
∙
08/12/2023
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text
Knowledge Graph (KG)-to-Text generation aims at generating fluent natura...
share
research
∙
08/10/2023
Informative Scene Graph Generation via Debiasing
Scene graph generation aims to detect visual relationship triplets, (sub...
research
∙
05/26/2023
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
Norms, which are culturally accepted guidelines for behaviours, can be i...
research
∙
05/04/2023
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain
International maritime crime is becoming increasingly sophisticated, oft...
research
∙
05/04/2023
Few-shot Domain-Adaptive Visually-fused Event Detection from Text
Incorporating auxiliary modalities such as images into event detection m...
research
∙
04/17/2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Knowledge graphs (KGs), as a structured form of knowledge representation...
research
∙
01/30/2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex
Semantic parsing is a technique aimed at constructing a structured repre...
research
∙
11/09/2022
Syntax-Aware On-the-Fly Code Completion
Code completion aims to help improve developers' productivity by suggest...
research
∙
11/07/2022
Complex Reading Comprehension Through Question Decomposition
Multi-hop reading comprehension requires not only the ability to reason ...
research
∙
10/17/2022
Towards Relation Extraction From Speech
Relation extraction typically aims to extract semantic relationships bet...
research
∙
10/06/2022
Teaching Neural Module Networks to Do Arithmetic
Answering complex questions that require multi-step multi-type reasoning...
research
∙
08/17/2022
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
Scene graph generation (SGG) is a fundamental task aimed at detecting vi...
research
∙
06/02/2022
Structured Two-stream Attention Network for Video Question Answering
To date, visual question answering (VQA) (i.e., image QA and video QA) i...
research
∙
03/21/2022
Paraphrasing Techniques for Maritime QA system
There has been an increasing interest in incorporating Artificial Intell...
research
∙
02/17/2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate time series forecasting has long received significant atten...
research
∙
12/16/2021
CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs
We present CrossSum, a large-scale dataset comprising 1.65 million cross...
research
∙
11/20/2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Graph representation learning (GRL) is critical for graph-structured dat...
research
∙
10/13/2021
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
The ability to generate natural-language questions with controlled compl...
research
∙
09/06/2021
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
Numerical reasoning skills are essential for complex question answering ...
research
∙
08/20/2021
Unsupervised Domain-adaptive Hash for Networks
Abundant real-world data can be naturally represented by large-scale net...
research
∙
08/20/2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation
Learning accurate low-dimensional embeddings for a network is a crucial ...
research
∙
08/19/2021
Semantic Compositional Learning for Low-shot Scene Graph Generation
Scene graphs provide valuable information to many downstream tasks. Many...
research
∙
08/19/2021
Exploiting Scene Graphs for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is a fundamental visual task ai...
research
∙
06/25/2021
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
Contemporary works on abstractive text summarization have focused primar...
research
∙
05/20/2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Event detection (ED) aims at detecting event trigger words in sentences ...
research
∙
05/12/2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Graph representation learning plays a vital role in processing graph-str...
research
∙
02/04/2021
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
Predicting (1) when the next hospital admission occurs and (2) what will...
research
∙
01/06/2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Continual relation extraction is an important task that focuses on extra...
research
∙
10/29/2020
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
Question answering is an effective method for obtaining information from...
research
∙
10/29/2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Complex question-answering (CQA) involves answering complex natural-lang...
research
∙
10/29/2020
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
A compelling approach to complex question answering is to convert the qu...
research
∙
10/19/2020
Understanding Unnatural Questions Improves Reasoning over Text
Complex question answering (CQA) over raw text is a challenging task. A ...
research
∙
10/07/2020
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
Question generation over knowledge bases (KBQG) aims at generating natur...
research
∙
09/01/2020
Boosting House Price Predictions using Geo-Spatial Network Embedding
Real estate contributes significantly to all major economies around the ...
research
∙
07/19/2020
Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow
Stack Overflow is one of the most popular technical Q A sites used by ...
research
∙
06/13/2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Despite the huge progress in scene graph generation in recent years, its...
research
∙
05/20/2020
Generating Question Titles for Stack Overflow from Mined Code Snippets
Stack Overflow has been heavily used by software developers as a popular...
research
∙
12/08/2019
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records
Electronic medical record (EMR) data contains historical sequences of vi...
research
∙
12/02/2019
Gaussian Embedding of Large-scale Attributed Graphs
Graph embedding methods transform high-dimensional and complex graph con...
research
∙
11/08/2019
Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Automatic question generation from paragraphs is an important and challe...
research
∙
09/04/2019
ParaQG: A System for Generating Questions and Answers from Paragraphs
Generating syntactically and semantically valid and relevant questions f...
research
∙
08/02/2019
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies
Ontologies are formal representations of concepts and complex relationsh...
research
∙
07/01/2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
With the recent explosive increase of digital data, image recognition an...
research
∙
02/14/2019
Sip4J: Statically inferring permission-based specifications for sequential Java programs
In mainstream programming languages such as Java, a common way to enable...
research
∙
01/02/2019
Vector and Line Quantization for Billion-scale Similarity Search on GPUs
Billion-scale high-dimensional approximate nearest neighbour (ANN) searc...
research
∙
08/15/2018
A framework for automatic question generation from text using deep reinforcement learning
Automatic question generation (QG) is a useful yet challenging task in N...
research
∙
03/07/2018
