...) # 這句是重點(diǎn) print() print( 摘要: ) for item in tr4s.get_key_sentences(num=3): print(item.index, item.weight, item.sentence) 然后,我們知道重點(diǎn)函數(shù)是 analyze,我們再來看它是怎么工作的。 # 文件:textrank4zh/TextRank4Sentence.py...
...haracter they type except #, you need to return the top 3 historical hot sentences that have prefix the same as the part of sentence already typed. Here are the specific rules: The hot degree for a...
Problem Given two sentences words1, words2 (each represented as an array of strings), and a list of similar word pairs pairs, determine if two sentences are similar. For example, great acting skills a...
...et(wordDict) len_dict = set(len(w) for w in wordDict) def sentences(i): if i not in elems: iters=list() for len_iter in len_dict: ...
...,我們將我們的句子向量轉(zhuǎn)換成單詞列表,如下: # raw sentences is a list of sentences. raw_sentences = corpus_raw.split(.) sentences = [] for sentence in raw_sentences: sentences.append(sentence.split()) 上面代碼將幫助我們得到一個(gè)...
...分析 from snownlp import SnowNLP s = SnowNLP(mytext) for sentence in s.sentences: print(sentence) 故事 的 小黃花 從 出生 那年 就 飄 著 童年 的 蕩秋千 隨 記憶 一直 晃到 現(xiàn)在 ㄖ ㄨ ㄟ ㄙ ㄡ ㄙ ㄡ ㄒ 一 ㄉ ㄡ ㄒ 一 ㄌ ㄚ Re So ...
884. Uncommon Words from Two Sentences 題目鏈接 884. Uncommon Words from Two Sentences 題目分析 返回給定的兩個(gè)句子中唯一不同的單詞。 思路 先把兩個(gè)句子分別按空格分割成數(shù)組,再計(jì)算兩個(gè)數(shù)組的差集,即可得知兩個(gè)句子的差異。 測試后...
...Convolutional Neural Network Architectures for Matching Natural Language Sentences(http://papers.nips.cc/paper/5550-convolutional-neural-network-architectures-for-matching-natural-language-sentence...
...括多個(gè)空格呢?舉個(gè)例子: let message = oneLine` Preserve eg sentences. Double spaces within input lines. `; 如果使用這種匹配方式,sentences. 與 Double 之間的兩個(gè)空格也會(huì)被替換成一個(gè)空格。 我們可以再優(yōu)化一下,我們想要的效果是將每行...
...Demo() { JiebaSegmenter segmenter = new JiebaSegmenter(); String[] sentences = new String[] {這是一個(gè)伸手不見五指的黑夜。我叫孫悟空,我愛北京,我愛Python和C++。, 我不喜歡日本和服。, 雷猴回歸人間。, 工信處女.....
ChatGPT和Sora等AI大模型應(yīng)用,將AI大模型和算力需求的熱度不斷帶上新的臺(tái)階。哪里可以獲得...
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大模型的訓(xùn)練用4090是不合適的,但推理(inference/serving)用4090不能說合適,...