Semantic Textual Similarity: past present and future
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Document SummarizationMachine TranslationQuestion AnsweringSemantic Textual SimilaritySimilar Papers 제목 키워드 기반
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs
In today's era of information explosion, more users are becoming more reliant upon recommender systems to have better advice, suggestions, or inspire them. The measure of the semantic relatedness or likeness between term…
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Measurement of the semantic relatedness or likeness between terms, words, or text data plays an important role in different applications dealing with textual data such as knowledge acquisition, recommender system, and na…
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Causal attention has become a foundational mechanism in autoregressive vision-language models (VLMs), unifying textual and visual inputs under a single generative framework. However, existing causal mask-based strategies…
KurdSTS: The Kurdish Semantic Textual Similarity
Semantic Textual Similarity (STS) measures the degree of meaning overlap between two texts and underpins many NLP tasks. While extensive resources exist for high-resource languages, low-resource languages such as Kurdish…
Semantic Textual SimilarityPCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction
The ability to predict future structure features of environments based on past perception information is extremely needed by autonomous vehicles, which helps to make the following decision-making and path planning more r…
Autonomous VehiclesDecision MakingSemantic SimilaritySemantic Textual Similarity