Various methods have been developed to improve the performance of sentence-level sentiment analysis (SLSA), the newest as graph convolutional networks (GCNs), with promising accuracy. However, it ...

By combining strengths from both sentence- and document-level LLM outputs, Huawei takes another step forward in improving document-level AI translations.

Sentence specific The accuracy of citations has a lot to do with whether the AI model is reasoning about information at the sentence level rather than paragraph or document level.

Comparing AI reasoning abilities reveals OpenAI's o1 model surpasses DeepSeek's R1 in generating accurate, sentence-level citations.

In this paper, we propose a joint segmentation and classification framework for sentence-level sentiment classification. It is widely recognized that phrasal information is crucial for sentiment ...

Breaking one complex sentence down into small parts enhances students’ awareness of vocabulary, syntax, and sentence structure.

Micro-optimizations like that are increasingly out of style in core Python code. They generally don't help (or even hurt) when running under PyPy, and CPython is making real progress at speeding the ...

The number of arguments of a predicate is called the arity of the predicate. A compound sentence can be obtained by joining sentences with connectives. pystc is a simple but extensible Python module ...