Семантикалық мәтін ұқсастығы

This paper presents the systems that we par- ticipated with in the Semantic Text Similar- ity task at SEMEVAL 2012. Based on prior research in semantic similarity and related- ness, …...

Semantic text similarity (STS) is an essential problem in many Natural Language Pro- cessing tasks, which has drawn a considerable amount of attention by research community in recent years. In …...

We present in this paper a system for measur- ing Semantic Text Similarity (STS) in English. We introduce three novel techniques: the use of Types, methods of linking phrases, and …...

Duplicate Question Detection (DQD) is a Natural Language Processing task under active research, with applications to fields like Community Question Answering and Information Retrieval. While DQD falls under the umbrella …...

AbstractUnsupervised representation learning of words from large multilingual corpora is useful for downstream tasks such as word sense disambiguation, semantic text similarity, and information retrieval. The representation precision of log-bilinear …...

AbstractContrastive learning is emerging as a powerful technique for extracting knowledge from unlabeled data. This technique requires a balanced mixture of two ingredients: positive (similar) and negative (dissimilar) samples. This …...

AbstractThis paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identifying whether a sentence contains …...