نتایج جستجو برای: similarity task
تعداد نتایج: 393758 فیلتر نتایج به سال:
abstract the present study investigated the effects of task types and involvement load hypothesis on incidental learning of 10 target words (tws) in junior high schools (jhss) in givi, ardabil. the tasks deployed in this study were two input-based tasks (reading plus dictionary use with an involvement index of 3, and reading plus gap-fill task with an involvement index of 2), and one output-ba...
This paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task. Our system employs an attention-based recurrent neural network model that optimizes the sentence similarity. In this paper, we describe our participation in the multilingual STS task which measures similarity across English, Spanish, and Ara...
This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity ...
this article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of english as a foreign language (efl). the study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...
We approach the typed-similarity task using a range of heuristics that rely on information from the appropriate metadata fields for each type of similarity. In addition we train a linear regressor for each type of similarity. The results indicate that the linear regression is key for good performance. Our best system was ranked third in the task.
Recently, the task of measuring semantic similarity between given texts has drawn much attention from the Natural Language Processing community. Especially, the task becomes more interesting when it comes to measuring the semantic similarity between different-sized texts, e.g paragraph-sentence, sentence-phrase, phrase-word, etc. In this paper, we, the FBK-TR team, describe our system participa...
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset
ABSTRACT Individuals in their roles at work may have the opportunity to commit fraud. They also be a position witness occurrence of fraud workplace. In this study, we examine how individuals' prior decision influences subsequent whistleblow on another person when (1) is same team as them or (2) other committing same/different task they did. With two between-subject experiments, find that indivi...
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