Results 21 to 30 of about 670,803 (262)
Sense-Based Topic Word Embedding Model for Item Recommendation
As a useful way to help users filter information and save time, item recommendation intends to recommend new items to users who tend to be interested.
Ya Xiao +5 more
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Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer
Accepted to ACIIDS 2022. The proceedings of ACIIDS 2022 will be published by Springer in series Lecture Notes in Artificial Intelligence (LNAI) and Communications in Computer and Information Science (CCIS)
Piotr Pęzik +4 more
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MLNet: a multi-level multimodal named entity recognition architecture
In the field of human–computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task.
Hanming Zhai +4 more
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ON THE USE OF PICTOGRAPHIC ELEMENTS IN POP-CULTURAL SHORT TEXTS ON THE EXAMPLE OF THE HEART PICTOGRAM The article focuses on the use of pictographic elements in short texts of the pop-culture based on the example of the heart pictogram in the ...
Anna Kapuścińska
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Short Text Clustering Algorithms, Application and Challenges: A Survey
The number of online documents has rapidly grown, and with the expansion of the Web, document analysis, or text analysis, has become an essential task for preparing, storing, visualizing and mining documents.
Majid Hameed Ahmed +3 more
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Unlabeled Short Text Similarity With LSTM Encoder
Short texts play an important role in our daily communication. It has been applied in many fields. In this paper, we propose a novel short text similarity measurement algorithm-based long short-term memory (LSTM) encoder.
Lin Yao, Zhengyu Pan, Huansheng Ning
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Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent field. It has a significant impact on a broad range of applications, such as question–answering systems, information retrieval, entity recognition, text analytics ...
Zaira Hassan Amur +4 more
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Chinese Microblog Topic Detection through POS-Based Semantic Expansion
A microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following.
Lianhong Ding, Bin Sun, Peng Shi
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Short Text Classification Using Contextual Analysis
Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving.
Sami Al Sulaimani, Andrew Starkey
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TAG RECOMMENDATION FOR SHORT ARABIC TEXT BY USING LATENT SEMANTIC ANALYSIS OF WIKIPEDIA
Text tagging has gained a growing attention as a way of associating metadata that supports information retrieval and classification. To resolve the difficulties of manual tagging, tag recommendation has emerged as a solution to assist users in tagging by
Iyad AlAgha, Yousef Abu-Samra
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