Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
1,659,255
University Of Sheffield: Two Approaches to Semantic Text Similarity
"... This paper describes the University of Sheffield’s submission to SemEval-2012 Task 6: Semantic Text Similarity. Two approaches were developed. The first is an unsupervised technique based on the widely used vector space model and information from WordNet. The second method relies on supervised machi ..."
Abstract
- Add to MetaCart
This paper describes the University of Sheffield’s submission to SemEval-2012 Task 6: Semantic Text Similarity. Two approaches were developed. The first is an unsupervised technique based on the widely used vector space model and information from WordNet. The second method relies on supervised
Computing Semantic Text Similarity Using Rich Features
"... Semantic text similarity (STS) is an essential problem in many Natural Language Pro-cessing tasks, which has drawn a considerable amount of attention by research community in recent years. In this paper, our work focused on computing semantic similarity between texts of sentence length. We employed ..."
Abstract
- Add to MetaCart
Semantic text similarity (STS) is an essential problem in many Natural Language Pro-cessing tasks, which has drawn a considerable amount of attention by research community in recent years. In this paper, our work focused on computing semantic similarity between texts of sentence length. We employed
TakeLab: Systems for Measuring Semantic Text Similarity
"... This paper describes the two systems for determining the semantic similarity of short texts submitted to the SemEval 2012 Task 6. Most of the research on semantic similarity of textual content focuses on large documents. However, a fair amount of information is condensed into short text snippets suc ..."
Abstract
- Add to MetaCart
This paper describes the two systems for determining the semantic similarity of short texts submitted to the SemEval 2012 Task 6. Most of the research on semantic similarity of textual content focuses on large documents. However, a fair amount of information is condensed into short text snippets
Semantic text similarity using corpus-based word similarity and string similarity
- ACM Transactions on Knowledge Discovery from Data (TKDD
, 2008
"... We present a method for measuring the semantic similarity of texts using a corpus-based measure of semantic word similarity and a normalized and modified version of the Longest Common Subsequence (LCS) string matching algorithm. Existing methods for computing text similarity have focused mainly on e ..."
Abstract
-
Cited by 52 (5 self)
- Add to MetaCart
We present a method for measuring the semantic similarity of texts using a corpus-based measure of semantic word similarity and a normalized and modified version of the Longest Common Subsequence (LCS) string matching algorithm. Existing methods for computing text similarity have focused mainly
UNT:A Supervised Synergistic Approach to SemanticText Similarity
- First Joint Conference on Lexical and Computational Semantics (*SEM
"... This paper presents the systems that we participated with in the Semantic Text Similarity task at SEMEVAL 2012. Based on prior research in semantic similarity and relatedness, we combine various methods in a machine learning framework. The three variations submitted during the task evaluation period ..."
Abstract
-
Cited by 7 (0 self)
- Add to MetaCart
This paper presents the systems that we participated with in the Semantic Text Similarity task at SEMEVAL 2012. Based on prior research in semantic similarity and relatedness, we combine various methods in a machine learning framework. The three variations submitted during the task evaluation
ATA-Sem: Chunk-based Determination of Semantic Text Similarity
"... This paper describes investigations into using syntactic chunk information as the basis for determining the similarity of candidate texts at the semantic level. Two approaches were considered. The first was a corpus-based method that extracted lexical and semantic features from pairs of chunks from ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
This paper describes investigations into using syntactic chunk information as the basis for determining the similarity of candidate texts at the semantic level. Two approaches were considered. The first was a corpus-based method that extracted lexical and semantic features from pairs of chunks from
yiGou: A Semantic Text Similarity Computing System Based on SVM
"... This paper describes the yiGou system we de-veloped to compute the semantic similarity of two English sentences, which we submitted to the SemEval 2015 Task 2 (English subtask). The system uses a support vector machine model with literal similarity, shallow syntactic similarity, WordNet-based simila ..."
Abstract
- Add to MetaCart
Net-based similarity and la-tent semantic similarity to predict the seman-tic similarity score of two short texts. In our experiments, WordNet-based and LSA-based features performed better than other features. Out of the 73 submitted runs, our two runs ranked 38th and 42th, with mean Pearson corre-lation 0.7114 and 0
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
"... In this paper we describe KnCe2013-CORE, a system to compute the semantic similarity of two short text snippets. The system computes a number of features which are gathered from different knowledge bases, namely WordNet, Wikipedia and Wiktionary. The similarity scores derived from these features are ..."
Abstract
- Add to MetaCart
In this paper we describe KnCe2013-CORE, a system to compute the semantic similarity of two short text snippets. The system computes a number of features which are gathered from different knowledge bases, namely WordNet, Wikipedia and Wiktionary. The similarity scores derived from these features
Semantic similarity based on corpus statistics and lexical taxonomy
- Proc of 10th International Conference on Research in Computational Linguistics, ROCLING’97
, 1997
"... This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better quantifie ..."
Abstract
-
Cited by 852 (0 self)
- Add to MetaCart
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better
Using information content to evaluate semantic similarity in a taxonomy
- In Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95
, 1995
"... philip.resnikfleast.sun.com This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judg ..."
Abstract
-
Cited by 1072 (8 self)
- Add to MetaCart
philip.resnikfleast.sun.com This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity
Results 1 - 10
of
1,659,255
