no code implementations • 19 Feb 2024 • Menglin Li, Kwan Hui Lim
Specifically, a Tweet-Location Contrastive learning objective is introduced to align representations of tweets and locations within tweet-location pairs.
no code implementations • 21 Nov 2023 • Ngai Lam Ho, Kwan Hui Lim
As a RS problem, it is heavily related to problem or filtering or ranking a subset of POIs that are relevant to a user and recommending it as part of an itinerary.
no code implementations • 18 Nov 2023 • Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim
In this paper, we propose the SBTRec algorithm: a BERT-based Trajectory Recommendation with sentiment analysis, for recommending personalized sequences of POIs as itineraries.
1 code implementation • 30 Oct 2023 • Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim
An essential task for tourists having a pleasant holiday is to have a well-planned itinerary with relevant recommendations, especially when visiting unfamiliar cities.
no code implementations • 4 Apr 2023 • Junhua Liu, Kwan Hui Lim, Kristin L. Wood, Menglin Li
Itinerary recommendation is a complex sequence prediction problem with numerous real-world applications.
no code implementations • 20 Feb 2023 • Xiang Qian Ong, Kwan Hui Lim
Understanding the skill sets and knowledge required for any career is of utmost importance, but it is increasingly challenging in today's dynamic world with rapid changes in terms of the tools and techniques used.
no code implementations • 16 Dec 2022 • Ngai Lam Ho, Kwan Hui Lim
Our recommendation algorithm is able to generate a sequence of POIs that optimizes time and users' preference in POI categories based on past trajectories from similar tourists.
no code implementations • 26 Oct 2022 • Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu
POI-level geo-information of social posts is critical to many location-based applications and services.
1 code implementation • 25 Oct 2022 • Wenchuan Mu, Kwan Hui Lim
The automatic scoring of summaries is important as it guides the development of summarizers.
Ranked #1 on Document Summarization on CNN / Daily Mail
no code implementations • 25 Oct 2022 • Wenchuan Mu, Kwan Hui Lim
Academic writing should be concise as concise sentences better keep the readers' attention and convey meaning clearly.
no code implementations • 24 Dec 2021 • Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing, Kwan Hui Lim
Word embedding is used to capture semantic meanings of domain-specific words.
no code implementations • 23 Jun 2021 • Yasmeen George, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim
First, to address the challenge related to the unknown spatial resolution of events, a quad-tree method is exploited in order to split the geographical space into multiscale regions based on the density of social media data.
no code implementations • 22 Jun 2021 • Prashant Solanki, Kwan Hui Lim, Aaron Harwood
With the prevalence of online social networking sites (OSNs) and mobile devices, people are increasingly reliant on a variety of OSNs for keeping in touch with family and friends, and using it as a source of information.
1 code implementation • 21 Jun 2021 • Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing, Kwan Hui Lim
The dataset is then used to train 3 classification models to automatically classify the images into the relevant style which resulted in an accuracy of ~96%.
no code implementations • 3 Mar 2021 • Ngai Lam Ho, Kwan Hui Lim
Tour itinerary planning and recommendation are challenging tasks for tourists in unfamiliar countries.
no code implementations • 2 Mar 2021 • Jolin Shaynn-Ly Kwan, Kwan Hui Lim
The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world.
no code implementations • 5 Dec 2020 • Jerome Heng, Junhua Liu, Kwan Hui Lim
An important aspect of urban planning is understanding crowd levels at various locations, which typically require the use of physical sensors.
1 code implementation • EMNLP 2020 • Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
However, SBERT is trained on corpus with high-quality labeled sentence pairs, which limits its application to tasks where labeled data is extremely scarce.
Ranked #20 on Semantic Textual Similarity on STS16
1 code implementation • 9 Jun 2020 • Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
In this paper, we present EPIC30M, a large-scale epidemic corpus that contains 30 millions micro-blog posts, i. e., tweets crawled from Twitter, from year 2006 to 2020.
no code implementations • 11 May 2020 • Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
However, none of the works perform crisis embedding and classification using state of the art attention-based deep neural networks models, such as Transformers and document-level contextual embeddings.
1 code implementation • 25 Apr 2020 • Junhua Liu, Yung Chuen Ng, Kwan Hui Lim
There has been growing interest in utilizing occupational data mining and analysis.
no code implementations • 22 Oct 2019 • Junhua Liu, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim
Occupational data mining and analysis is an important task in understanding today's industry and job market.
no code implementations • 12 Sep 2019 • Junhua Liu, Kristin L. Wood, Kwan Hui Lim
There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time and crowd levels for multiple users.
no code implementations • WS 2016 • Lianhua Chi, Kwan Hui Lim, Nebula Alam, Christopher J. Butler
Knowing the location of a social media user and their posts is important for various purposes, such as the recommendation of location-based items/services, and locality detection of crisis/disasters.