This paper identifies the top news items on the news sites and measures the similarity between two same news items in two languages (Hindi and English) referring to the same event. To accomplish this, a highlighted headline and link extractor has been created to extract top news for both ...
1. 摘要 Estimating the semantic similarity between text data is one of the challenging and open research problems in the field of Natural Language Processing(NLP).The versatility(多样性) of natural language makes it difficult to define rule-based methods for determining semantic similarity measures(N...
Application-Oriented Comparison and Evaluation of Six Semantic Similarity Measures Based on Wordnet In the task of auto-building a Chinese-English semantic lexicon for translation selection, this research presents a method, which introduces WordNet simila... PY Liu,TJ Zhao,XF Yu - IEEE 被引量: ...
Our main idea is to perform a greedy walk with a matching function in a similarity graph constructed from all items. To solve the problem that the similarity measures of graph construction and user-item matching function are ... R Chen,B Liu,H Zhu,... 被引量: 0发表: 2022年 A Generic...
Semantic similarity measures are widely used in Natural Language Processing (NLP) and Information Retrieval (IR). The work proposed here uses web based metrics to compute the semantic similarity between words or terms and also compares with the state-of-the-art. For a computer to decide the ...
In addition, we will be considering cosine similarity to determine the similarity of two vectors. Cosine similarity is a standard measure in Vector Space Modeling, but wherever the vectors represent probability distributions, different similarity measures may be more appropriate. Initializing query structur...
In this work we address the task of computerassisted assessment of short student answers. We combine several graph alignment features with lexical semantic similarity measures using machine learning techniques and show that the student answers can be more accurately graded than if the semantic measures...
In NLP, the most common measures dealing with text are cosine similarity and soft cosine similarity. Both of them work directly over word or document embeddings. Although other measures have also been used, such as the Jacquard similarity, or the Euclidean distance, they are far less popular th...
【论文阅读|深读】VERSE: Versatile Graph Embeddings from Similarity Measures,8隐式地利用了图节点之间的相似性度量简单、通用和内存高效单层神经网络。
Syntactic information is obtained through a deep parsing process that finds the phrases in each sentence. With this information, the proposed method measures the semantic similarity between concepts that play the same syntactic role. Psychological plausibility is added to the method by using previous ...