This paper describes the yiGou system we developed 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 similarity and latent semantic similarity to predict the semantic similarity score of two short texts. I...

Unsupervised methods of semantic relations extraction rely on a similarity measure between lexical units. Similarity measures differ both in kinds of information they use and in the ways how this information is transformed into a similarity score. This paper is making a step further in the evaluation of the available similarity measures within the context of semantic relation extraction. We com...

Given a large collection of sparse vector data in a high dimensional space, we investigate the problem of finding all pairs of vectors whose similarity.ABSTRACT. Given a large collection of sparse vector data in a high dimensional space, we investigate the problem of finding all pairs of vectors whose similarity. Scaling up all pairs similarity search, Published by ACM. The problem of finding a...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

To facilitate the application of semantics in statistical machine translation, we propose a broad-coverage predicate-argument structure mapping technique using automated resources. Our approach utilizes automatic syntactic and semantic parsers to generate Chinese-English predicate-argument structures. The system produced a many-to-many argument mapping for all PropBank argument types by computi...

In the past years, we attended the 250-bytes group. Our main strategy was to measure the similarity score (or the informative score) of each candidate sentence to the question sentence. The similarity score was computed by sums of weights of cooccurred question keywords. To meet the requirement of shorter answering texts proposed in this year, we adapt our system, and experiment on a new strate...

This article focuses on the question answering type of automatic scoring system for large-scale spoken English examinations and scores using a method called multifeature fusion. Three types features are extracted to score speech recognition text as research object. The three similarity, syntactic, phonetic. There nine distinct characteristics that describe relationship between examinee response...