Linking Datasets Using Semantic Textual Similarity
نویسندگان
چکیده
منابع مشابه
Semantic Textual Similarity
Through this project, we will explore Semantic Textual Similarity a shared task in Sem Eval 2012. The problem involves comparing a pair of sentences for semantic equivalence, reporting the equivalence on a scale of 0 5 with 0 meaning no equivalence and 5 meaning semantically equivalent. This task is more challenging than determining if the two sentences are paraphrases (a simple yes/no answer),...
متن کاملUQeResearch: Semantic Textual Similarity Quantification
This paper presents an approach for estimating the Semantic Textual Similarity of full English sentences as specified in Shared Task 2 of SemEval-2015. The semantic similarity of sentence pairs is quantified from three perspectives structural, syntactical, and semantic. The numerical representations of the derived similarity measures are then applied to train a regression ensemble. Although non...
متن کاملjanardhan: Semantic Textual Similarity using Universal Networking Language graph matching
Sentences that are syntactically quite different can often have similar or same meaning. The SemEval 2012 task of Semantic Textual Similarity aims at finding the semantic similarity between two sentences. The semantic representation of Universal Networking Language (UNL), represents only the inherent meaning in a sentence without any syntactic details. Thus, comparing the UNL graphs of two sent...
متن کاملEffects of Using Simple Semantic Similarity on Textual Entailment Recognition
We applied various WordNet based similarity measures to the RTE (Recognizing Textual Entailment) task in order to compare the effects of them on Textual Entailment Recognition. Although the improvements over a baseline system are not big, many of them show positive effects.
متن کاملsranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching
The paper aims to come up with a system that examines the degree of semantic equivalence between two sentences. At the core of the paper is the attempt to grade the similarity of two sentences by finding the maximal weighted bipartite match between the tokens of the two sentences. The tokens include single words, or multiwords in case of Named Entitites, adjectivally and numerically modified wo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cybernetics and Information Technologies
سال: 2018
ISSN: 1314-4081
DOI: 10.2478/cait-2018-0010