Results 281 to 290 of about 1,881,625 (304)

Neuro-symbolic procedural semantics for explainable visual dialogue. [PDF]

PLoS One
Verheyen L, Botoko Ekila J, Nevens J, Van Eecke P, Beuls K.   +4 more
europepmc   +1 more source

Clustering and topic modeling over tweets: A comparison over a health dataset

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
Twitter became the most popular form of social interactions in the healthcare domain. Thus, various teams have evaluated Twitter as an additional source where patients share information about their healthcare with the potential goal to improve their outcomes.
Tina Hernandez-Boussard, Jian-Guo Bian, Juandiego Morzan, Hugo Alatrista-Salas, Juan Antonio Lossio-Ventura   +4 more
openaire   +5 more sources

Topic Concentration in Query Focused Summarization Datasets

Proceedings of the AAAI Conference on Artificial Intelligence, 2016
Query-Focused Summarization (QFS) summarizes a document cluster in response to a specific input query. QFS algorithms must combine query relevance assessment, central content identification, and redundancy avoidance. Frustratingly, state of the art algorithms designed for QFS do not significantly improve upon generic summarization ...
Tal Baumel, Raphael Cohen, Michael Elhadad   +2 more
openaire   +3 more sources

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Topic-based indexing of federated datasets

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
The increasing availability of open datasets calls for the adoption of novel query engines able to ease the retrieval of desired information from this huge amount of data. This paper proposes an in depth analysis of a topic-based indexing solution for building transparent, federated query engines for SPARQL.
Ester Giallonardo, Eugenio Zimeo, Ciro Sorrentino   +2 more
openaire   +2 more sources

Enrico: A Dataset for Topic Modeling of Mobile UI Designs

22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020
Topic modeling of user interfaces (UIs), also known as layout design categorization, contributes to a better understanding of the UI functionality. Starting from Rico, a large dataset of mobile UIs, we revised a random sample of 10k UIs and concluded to Enrico (shorthand of Enhanced Rico), a human-supervised high-quality dataset comprising 1460 UIs and
Luis A. Leiva, Antti Oulasvirta, Asutosh Hota   +2 more
openaire   +2 more sources

Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset

2021 the 3rd International Conference on Big Data Engineering and Technology (BDET), 2021
Twitter is one of the most popular online social networks. It has a relatively simple data model and an intuitive API to access Twitter data. This makes it easy to collect social data and analyse the patterns of online behaviour. Twitter has an impactful presence among politicians, entrepreneurs, news agencies, public figures, and this makes it a ...
Chandrasekaran, Vignesh Srinivasan
openaire   +2 more sources

Topic Summary Views for Exploration of Large Scholarly Datasets

Journal on Data Semantics, 2018
In this article, we present the E-sch approach for exploration of large scholarly datasets based on topic summary views. The goal of E-sch is to semantically summarize the dataset related to a potentially very large number of scholar publications (e.g., millions) by a list of few thousands topics, up to an ultimate list of hundreds of topic summaries ...
S. Castano, A. Ferrara, S. Montanelli
openaire   +3 more sources

Topic Discovery and Topic-Driven Clustering for Audit Method Datasets

2011
As the promotion of China's Golden Auditing Project and the fast growth of on-line auditing, there are thousands of new computer audit methods emerged every year to fulfill various needs of audit practices. How to organize these existing computer audit methods and use them intelligently have become a fundamental and challenging problem.
Wanyu Fu, Shaobin Huang, Ying Zhao
openaire   +2 more sources

MUSED: A multimedia multi-document dataset for topic segmentation

Natural Language Engineering, 2018
AbstractResearch on topic segmentation has recently focused on segmenting documents by taking advantage of documents covering the same topics. In order to properly evaluate such approaches, a dataset of related documents is needed. However, existing datasets are limited in the number of related documents per domain.
Luísa Coheur, Maxine Eskenazi, Pedro Mota   +2 more
openaire   +2 more sources

Topic-Centric Recommender Systems for Bibliographic Datasets

2012
In this paper, we introduce a novel and efficient approach for Recommender Systems in the academic world. With the world of academia growing at a tremendous rate, we have an enormous number of researchers working on hosts of research topics. Providing personalized recommendations to a researcher that could assist him in expanding his research base is ...
Kumar Shubhankar, Vikram Pudi, Aditya Pratap Singh   +2 more
openaire   +2 more sources