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2013
Many applications handle short texts, and enableing machines to understand short texts is a big challenge. For example, in Ads selection, it is is difficult to evaluate the semantic similarity between a search query and an ad. Clearly, edit distance based string similarity does not work.
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Many applications handle short texts, and enableing machines to understand short texts is a big challenge. For example, in Ads selection, it is is difficult to evaluate the semantic similarity between a search query and an ad. Clearly, edit distance based string similarity does not work.
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From Text Classification to Keyphrase Extraction for Short Text
2019 IEEE International Conference on Big Data (Big Data), 2019Existing keyphrase extraction approaches often suffer from issues such as the sparsity and brevity of short text (e.g., headlines, queries, and tweets). In this paper, we propose a novel keyphrase extraction method for short text by utilizing recurrent neural networks. The main idea behind our approach is to classify short text into a relevant class or
Woo-Jong Ryu +4 more
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Short text keyphrase extraction with hypergraphs
Progress in Artificial Intelligence, 2014Graph-based ranking for keyphrase extraction has become an important approach for measuring saliency scores in text due to its ability to capture the context. By modeling words as vertices and the co-occurrence relation between words as edges, the importance of words is measured from the whole graph.
Abdelghani Bellaachia +1 more
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Clustering Short Text and Its Evaluation
2012Recently there has been an increase in interest towards clustering short text because it could be used in many NLP applications. According to the application, a variety of short text could be defined mainly in terms of their length (e.g. sentence, paragraphs) and type (e.g. scientific papers, newspapers).
Shrestha, Prajol +2 more
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From text to meaning: informational semantics of short scientific texts
2021The problems of automatic analysis and representation of human language have been clear since the inception of Natural Language Processing (NLP). Machines can be easily fooled when it comes to interpreting sentences and extracting meanings from texts.
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Short Forms And Editions Of Texts
2010This section presents short forms and editions of texts that occur in the book The Return of the Repressed: Pirqe de-Rabbi Eliezer and the Pseudepigrapha. Short forms given here are from the Hebrew Bible, Ancient Near Eastern Texts, Apocrypha and Pseudepigrapha.Keywords: Apocrypha; Bible; eudepigrapha; Pirqe de-Rabbi ...
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A TEXT IN THE TEXT: TECHNIQUE IN THE SHORT STORIES BY I.A. BUNIN
Известия Смоленского государственного университета, 2019The article deals with a technique «a text in the text» in the stories by I.A. Bunin. Yu.M. Lotman in the article «A Text in the Text» showed that the text acts as a generator of meanings when it switches from one semiotic system to another. It happens, in particular, when a new external text is included in the semantic field of the «mother text», in ...
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Short Text: Experiment in Quantitative Analysis
Izvestia of Smolensk State University, 2020The method of quantitative text analysis is usually associated with vast corpora of text utilized to solve problems of attribution, dating, data mining, etc. The article is aimed to demonstrate that quantitative analysis can be used for the study of short pieces a few stanza long. The research deals with the 12 lines long poem «The name – of it –
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Topic Classification for Short Texts
International Conference on Information Systems Development, 2022Dan Claudiu Neagu +4 more
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Keyword-Text Graph Representation for Short Text Classification [PDF]
2021 13th International Conference on Information Technology and Electrical Engineering (ICITEE), 2021 Teerapong Leelanupab +3 more
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