Named entity disambiguation in short texts over knowledge graphs
Sign Up to like & getrecommendations! Published in 2022 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-021-01642-9
Abstract: The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with… read more here.
Keywords: entity; knowledge; entity disambiguation; knowledge graphs ... See more keywords
Effects of different interaction modes on fatigue and reading effectiveness with mobile phones
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Industrial Ergonomics"
DOI: 10.1016/j.ergon.2021.103189
Abstract: Abstract Reading on touchscreen mobile devices is common in modern society. However, it is difficult to determine which interaction mode has the best reading effect when reading texts of different lengths. Using memory tests, eye-movement… read more here.
Keywords: short texts; reading long; paging mode; interaction ... See more keywords
Bi-Level Attention Model for Sentiment Analysis of Short Texts
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DOI: 10.1109/access.2019.2936457
Abstract: Short text is an important form of information dissemination and opinion expression in various social media platforms. Sentiment analysis of short texts is beneficial for the understanding of customers’ emotional state, obtaining customers’ opinions and… read more here.
Keywords: short texts; attention; analysis short; level ... See more keywords
Topic Modeling for Short Texts via Word Embedding and Document Correlation
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DOI: 10.1109/access.2020.2973207
Abstract: Topic modeling is a widely studied foundational and interesting problem in the text mining domains. Conventional topic models based on word co-occurrences infer the hidden semantic structure from a corpus of documents. However, due to… read more here.
Keywords: short texts; text; topic modeling; topic ... See more keywords
A Pitman-Yor Process Self-Aggregated Topic Model for Short Texts of Social Media
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DOI: 10.1109/access.2021.3113320
Abstract: In recent years, with the rapid growth of social media, short texts have been very prevalent on the internet. Due to the limited length of each short text, word co-occurrence information in this type of… read more here.
Keywords: texts; short texts; word occurrence; process ... See more keywords
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2016.2571687
Abstract: Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech… read more here.
Keywords: knowledge; short texts; understand short; semantic knowledge ... See more keywords