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, words1 = ["great", "acting", "skills"] and words2 = [&…
翻译 | Improving Distributional Similarity with Lessons Learned from Word Embeddings 叶娜老师说:"读懂论文的最好方法是翻译它".我认为这是很好的科研训练,更加适合一个陌生领域的探索.因为论文读不懂,我总结无非是因为这个领域不熟悉.如果是自己熟悉的领域,那么读起来肯定会比较顺畅. 原文 摘要 [1] Recent trends suggest that neural-network-inspired wor…
[抄题]: 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" and "fine drama talent" are similar,…
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, words1 = ["great", "acting", "skills"] and words2 = [&…
原题链接在这里:https://leetcode.com/problems/sentence-similarity/ 题目: 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 sk…
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, words1 = ["great", "acting", "skills"] and words2 = [&…
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" and "fine drama talent" are similar, if th…
Reference:Comparing Sentence Similarity Methods,知乎.…
论文概况 Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks是处理比较两个句子相似度的问题, 适用于解决智能客服问题匹配场景中用户提交的问句与知识库中问句的匹配. 文章将整个问题的解决分成两部分: 对句子进行建模, 将句子转换为某种向量表示. 这部分使用CNN完成 两个句子相似度衡量的方式. 这里是新颖的地方. 然后将衡量计算得到的相似度向量投入到Dense层中, 再根据目标接Output…
Algorithm: Refrence from one ICML15 paper: Word Mover's Distance. 1. First use Google's word2vec tool to get distributed word representing aka. word vectors. 2. Then use earth mover's distance as similarity measure metric. 3. Solve the EMD problem as…