A survey on the techniques, applications, and performance of short text semantic similarity

2020 ◽  
Author(s):  
Mengting Han ◽  
Xuan Zhang ◽  
Xin Yuan ◽  
Jiahao Jiang ◽  
Wei Yun ◽  
...  
Keyword(s):  
Semantic Similarity ◽  
Short Text ◽  
And Performance

scholarly journals Minding the Gap – of Indifference: Approaching ‘Performance Philosophy’ with Salomo Friedlaender (1871-1946)

2015 ◽  
Vol 1 (1) ◽  
pp. 65 ◽  
Author(s):  
Alice Lagaay
Keyword(s):  
Performance Practice ◽  
Gestalt Therapy ◽  
Short Text ◽  
Magnum Opus ◽  
And Performance ◽  
Salomo Friedlaender ◽  
A Performance

The concept of "Creative Indifference" put forward by Salomo Friedlaender in his 1918 magnum opus, Schöpferische Indifferenz, provides much food for thought from a Performance Philosophy perspective. Friedlaender's work, which has been largely overlooked by academic philosophers until now, was in fact hugely influential in expressionist Dada circles at the time of its publication. It also contributed to shaping Gestalt Therapy theories and practice, thereby relating to a number of bodywork movements that continue to inform performance practice and Performance Philosophy alike. In this short text, Alice Lagaay begins to explore the manner in which Friedlaender/Mynona can be seen as a Performance Philosopher “avant la lettre”, and how the notion of "Creative Indifference” might be fruitful in the ongoing "Mind-the-Gap”- debate relating to the relation between “Performance" and "Philosophy".

scholarly journals Recommendation Model Based on Semantic Features and a Knowledge Graph

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yudong Liu ◽  
Wen Chen
Keyword(s):  
Semantic Similarity ◽  
Information Science ◽  
Absolute Error ◽  
Knowledge Graph ◽  
Semantic Features ◽  
Short Text ◽  
Model Based ◽  
Recommendation Algorithms ◽  
Tremendous Amount ◽  
Series Of Experiments

In the field of information science, how to help users quickly and accurately find the information they need from a tremendous amount of short texts has become an urgent problem. The recommendation model is an important way to find such information. However, existing recommendation models have some limitations in case of short text recommendation. To address these issues, this paper proposes a recommendation model based on semantic features and a knowledge graph. More specifically, we first select DBpedia as a knowledge graph to extend short text features of items and get the semantic features of the items based on the extended text. And then, we calculate the item vector and further obtain the semantic similarity degrees of the users. Finally, based on the semantic features of the items and the semantic similarity of the users, we apply the collaborative filtering technology to calculate prediction rating. A series of experiments are conducted, demonstrating the effectiveness of our model in the evaluation metrics of mean absolute error (MAE) and root mean square error (RMSE) compared with those of some recommendation algorithms. The optimal MAE for the model proposed in this paper is 0.6723, and RMSE is 0.8442. The promising results show that the recommendation effect of the model on the movie field is significantly better than those of these existing algorithms.

scholarly journals KONTRIBUSI KETERAMPILAN MEMBACA PEMAHAMAN TEKS CERPEN TERHADAP KETERAMPILAN MENULIS TEKS CERPEN SISWA KELAS XI SMK NEGERI 9 PADANG

2019 ◽  
Vol 8 (3) ◽  
pp. 119
Author(s):  
Herfina Assadiyah ◽  
Harris Effendi Thahar
Keyword(s):  
Short Story ◽  
Reading Skills ◽  
Writing Skills ◽  
Sampling Technique ◽  
Second Grade ◽  
Story Comprehension ◽  
Short Text ◽  
Story Writing ◽  
Second Year ◽  
And Performance

ABSTRACT The purpose of this study was categorized into three. First, to describe the reading skills in understanding the short story of the second-year students at SMK Negeri 9 Padang. Second, to describe the writing skills of a short story for the second year students at SMK Negeri 9 Padang. Third, to describe the contribution of reading short story comprehension into the writing skills of a short story made by the second year students of SMK Negeri 9 Padang. The design of this research was quantitative with a descriptive method. Then, this study also was a correlational design. The population of this study was the second - grade students at SMK Negeri 9 Padang in the academic year 2018/2019 for about 232 students. The sample of this study was taken by using a proportional random sampling technique (20%), which was 46 students. The data of this study were the results of reading skills tests for understanding short story texts and the results of the text writing short story texts. The instrument of this study was an objective test to measure reading skills in understanding short story texts and performance tests to measure short story texts writing skills. There were several results of this study. First, the writing skill of the short story text of the second-year students at SMK Negeri  Padang was more than adequate (LdC). Second, reading skills understanding the short text of the second-year students at SMK Negeri 9 Padang was in a Good qualification (B). Third, reading skills understanding the short story of the second-year students at SMK Negeri 9 Padang contributed 72.1% to the short story writing skills of the second year students of SMK Negeri 9 Padang.         Kata Kunci: Kontribusi, Keterampilan Membaca Pemahaman Teks Cerpen, Keterampilan Menulis Teks Cerpen

Heuristic Inventive Design Problem Solving Based on Semantic Relatedness

2014 ◽  
Vol 875-877 ◽  
pp. 968-972
Author(s):  
Wei Yan ◽  
Cecilia Zanni-Merk ◽  
François Rousselot ◽  
Denis Cavallucci ◽  
Pierre Collet
Keyword(s):  
Problem Solving ◽  
Semantic Similarity ◽  
Design Problem ◽  
Semantic Relatedness ◽  
Level Of Detail ◽  
Knowledge Sources ◽  
Design Problems ◽  
Short Text ◽  
Design Expert

A growing number of industries feel the need of formalizing their innovation approaches. Modern innovation theories and methods use different knowledge sources for solving inventive design problems. These sources are generally about similar notions, but the level of detail of their description can be very different. We are interested in finding semantic links among these sources and developing an intelligent way of managing this knowledge, with the goal of assisting the inventive design expert during his activities. This paper explores a short text semantic similarity approach to search potential links among these sources. These links available could facilitate the retrieval for the heuristic solutions of inventive problems for TRIZ users.

scholarly journals An overview of textual semantic similarity measures based on web intelligence

2017 ◽  
Author(s):  
Jorge Martinez-Gil
Keyword(s):  
Semantic Similarity ◽  
Similarity Measures ◽  
Brand Names ◽  
Frequent Pattern ◽  
Web Intelligence ◽  
Short Text ◽  
Proper Nouns ◽  
Semantic Similarity Measurement ◽  
Traditional Approaches ◽  
Degree Of Similarity

Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields. The problem is that traditional approaches to semantic similarity measurement are not suitable for all situations, for example, many of them often fail to deal with terms not covered by synonym dictionaries or are not able to cope with acronyms, abbreviations, buzzwords, brand names, proper nouns, and so on. In this paper, we present and evaluate a collection of emerging techniques developed to avoid this problem. These techniques use some kinds of web intelligence to determine the degree of similarity between text expressions. These techniques implement a variety of paradigms including the study of co-occurrence, text snippet comparison, frequent pattern finding, or search log analysis. The goal is to substitute the traditional techniques where necessary.

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