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Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat...
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Zhenping Li, Zhen Cao, Pengfei Li, Yong Zhong and Shaobo Li
The task of multi-hop question generation (QG) seeks to generate questions that require a complex reasoning process that spans multiple sentences and answers. Beyond the conventional challenges of what to ask and how to ask, multi-hop QG necessitates sop...
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Tingyao Jiang, Wei Sun and Min Wang
Sentence-level sentiment analysis, as a research direction in natural language processing, has been widely used in various fields. In order to address the problem that syntactic features were neglected in previous studies on sentence-level sentiment anal...
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K. Manju, S. David Peter and Sumam Mary Idicula
Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand the hu...
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Rashel Fam and Yves Lepage
In this paper, we inspect the theoretical problem of counting the number of analogies between sentences contained in a text. Based on this, we measure the analogical density of the text. We focus on analogy at the sentence level, based on the level of fo...
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Svetlana S. Bodrunova, Andrey V. Orekhov, Ivan S. Blekanov, Nikolay S. Lyudkevich and Nikita A. Tarasov
The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is...
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Biqing Zeng, Ruyang Xu, Heng Yang, Zibang Gan and Wu Zhou
Under the constraint of memory capacity of the neural network and the document length, it is difficult to generate summaries with adequate salient information. In this work, the self-matching mechanism is incorporated into the extractive summarization sy...
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Qiuyue Zhang and Ran Lu
Aspect-level sentiment analysis (ASA) aims at determining the sentiment polarity of specific aspect term with a given sentence. Recent advances in attention mechanisms suggest that attention models are useful in ASA tasks and can help identify focus word...
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William John Teahan
A novel compression-based toolkit for modelling and processing natural language text is described. The design of the toolkit adopts an encoding perspective?applications are considered to be problems in searching for the best encoding of different transfo...
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