The Audio Music Similarity and Retrieval (AMS) task in the annual Music Information Retrieval eXchange relies on human-evaluation. One limitation of the current design of AMS is that evaluators are provided with scarce contextual information as to why they are evaluating the similarity of the songs and how this information will be used. This study explores the potential use of AMS results for g...

This paper describes the system for rating the degree of semantic equivalence between two text snippets developed by IHS-RD-Belarus for the SemEval 2016 STS shared task (Task 1). To predict the human ratings of text similarity we use a support vector regression model with multiple features representing similarity and difference scores calculated for each

An event, or a predicate and its arguments, is a semantic representation in the task of information extraction (IE) that provides little information beyond the sentence level. This paper describes event groups, sets of related events that encode semantic information across multiple sentences. We define an information retrieval task that uses our proposed event group representation as queries to...

A query classification system for NTCIR-10 1CLICK-2 is described in this paper. The system classifies queries in Japanese and English into eight predefined classes by using support vector machines (SVMs) for classification. Feature vectors are created based on snippet similarities instead of snippet word frequency. These vectors, which have fewer dimensions than those made from raw words, redu...

We learn graph-based similarity measures for the task of extracting word synonyms from a corpus of parsed text. A constrained graph walk variant that has been successfully applied in the past in similar settings is shown to outperform a state-of-the-art syntactic vectorbased approach on this task. Further, we show that learning specialized similarity measures for different word types is advanta...

In this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task. MappSent has initially been proposed for question-toquestion similarity (Hazem et al., 2017). In this work, we present the results of two adaptations of MappSent for the question answering task on the English dataset.

This paper describes our system submitted to *SEM 2013 Semantic Textual Similarity (STS) core task which aims to measure semantic similarity of two given text snippets. In this shared task, we propose an interpolation STS model named Model_LIM integrating FrameNet parsing information, which has a good performance with low time complexity compared with former submissions.

one of the major criticisms leveled at task-based language teaching (tblt), despite its countless merits, is developing fluency at the cost of accuracy. the post-task stage affords a number of options to counteract this downside through task repetition and task recycling. these two options are considered to positively affect learners' oral performance in terms of fluency, accuracy, and complexi...

The contribution of this paper is threefold: First, we propose modifications to Fluctuation Patterns [14]. The resulting descriptors are evaluated in the task of rhythm similarity computation on the “Ballroom Dancers” collection. Second, we show that by combining these rhythmic descriptors with a timbral component, results for rhythm similarity computation are improved beyond the level obtained...

This study examines the influence of Chinese semantics and phonology on auditory lexical processing Japanese Kanji words by as a foreign language (JFL) intermediate learners in decision task translation task. The results two experiments show that during words, (1) is activated rapidly inhibits activation Chinese-Japanese homographs, with stronger inhibitive effect homographs high phonological s...