In the digital world, as the amount of data produced at every instance is very huge; there is an ultimate need to develop a machine that can reduce the length of the texts automatically. Moreover, applying text
Automatic Extractive Text Summarization using NLTK library implemented using Python, by tokenizing the sentences, finding the weighted frequency of occurrence, and calculating sentence scores. natural-language-processingnlp-machine-learningautomatic-summarizationnlp-keywords-extractionbeautifulsoup4nltk-python ...
Verma, P., Verma, A.: Accountability of NLP tools in text summarization for Indian languages. J. Sci. Res.64(1) (2020). http://dx.doi.org/https://doi.org/10.37398/JSR.640149. Bafna, P.B., Saini, J.: Hindi Multi-document Word Cloud based Summarization through Unsupervised Learning...
Recent research has demonstrated the possibility of prompting LLMs to evaluate the quality of generated text using their emerging capabilities, such as zero-shot in-struction and in-context learning. Following this approach, we prompt LLMs, such as ChatGPT,using a clear instruction that includes d...
本文将利用属性论,理论知识,构建一个属性坐标系,对文,进行预处理,然后将文,,内容进行结构化存储,利用TextRank[7]算法找出文章,关键词,生成算法。 2理论知识介绍 本文通过以属性论为理论基础模型,利用StanfordNLP[5]分词系统进行分词,存储在图数据库中,记录每个节点,出度、入度,找,关键字,提取文本摘要。
(NLP), combining linguistics and computer science, especially artificial intelligence. As the authors of smaller, manually collected collections of texts are usually aware of the source of texts and their types, automatic genre identification is mostly studied to be applied on large web-based text ...
HITL is applied in AI – specifically NLP and ML in this work – because building AI technology with human intervention allows human tasks to be assisted to increase efficiency [7]. In the proposed methodology, summarization and HITL techniques are combined to assist the annotation process, which...
otherNLPtasks,bothstatistical(machinelearning)andlin- guisticknowledge-basedtechniquescanbeconsideredfor thisproblem.Giventhatwehaveavailableaconsiderable amountofdataintheformoftranscriptsofprogrammes withtheirassociatedsubtitles,amachinelearningapproach canatleastbeinvestigated. ...
When a text material is loaded, the NLP toolkit annotates the text and extract keywords from it. An unsupervised method to extract key- words from a text document, Rapid Automatic Keyword Extraction (RAKE), is used in the extraction process. RAKE measures the importance of a keyword to the...
A system, method, and computer-readable medium are disclosed for identifying paraphrases in a natural language processing (NLP) system comprising: receiving a first phrase and a second phrase by a system; analyzing the first phrase and the second phrase to provide a semantic and structural hierarc...