The aim of the present study is threefold. The first is that whether there is any difference betweendifferent proficiency level language learners 'use of spatial prepositions. The Second aim is toreveal that if the native language of the participants has any effect on applying the appropriateprepositions and also to find which spatial preposition is difficult to acquire. The present paperexamin...

Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Triplet Extraction (ASTE), a subtask of sentiment analysis, extract aspect term, opinion term triplets from sentences. However, some ASTE’s extracted are not self-contained, as they reflect the sentence’s toward between terms. These only unhelpful peo...

This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources. The two latter domains provide service-oriented data, which has not been investigated before in ABSA. By performing in-domain and cross-domain experiments the validity of our approach was investigated. We show p...

Aspect term extraction and opinion word are two fundamental subtasks of aspect-based sentiment analysis. The internal relationship between aspect terms words is typically ignored, information for the decision-making buyers sellers insufficient. In this paper, we explore an aspect–opinion pair (AOPE) task propose a Question-Driven Span Labeling (QDSL) model to extract all pairs from user-generat...

In this paper, we introduce our contributions to the SemEval-2014 Task 4 – Aspect Based Sentiment Analysis (Pontiki et al., 2014) challenge. We participated in the aspect term polarity subtask where the goal was to classify opinions related to a given aspect into positive, negative, neutral or conflict classes. To solve this problem, we employed supervised machine learning techniques exploiting...

This work focuses on aspect-based sentiment analysis, a relatively recent task in natural language processing. We present a new dataset for Czech aspect-based sentiment analysis which consists of segments from user reviews of IT products. We also describe our work in progress on the task of aspect term extraction. We believe that this area can be of interest to other workshop participants and t...

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