Key Concept Identification: A Sentence Parse Tree-Based Technique for Candidate Feature Extraction From Unstructured Texts
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2875135
Abstract: The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for candidate feature… read more here.
Keywords: technique; candidate; parse tree; candidate feature ... See more keywords
Enhancing Text Generation via Parse Tree Embedding
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DOI: 10.1155/2022/4096383
Abstract: Natural language generation (NLG) is a core component of machine translation, dialogue systems, speech recognition, summarization, and so forth. The existing text generation methods tend to be based on recurrent neural language models (NLMs), which… read more here.
Keywords: tree embedding; generation; sentence; parse tree ... See more keywords
The Effectiveness of Bottom Up Technique with Probabilistic Approach for A Malay Parser
Sign Up to like & getrecommendations! Published in 2018 at "GEMA Online Journal of Language Studies"
DOI: 10.17576/gema-2018-1802-09
Abstract: Parsing is a process of analyzing the input string in a sentence to define the syntax structures according to rules of grammar. This task is performed by a parser which will produce a parse tree… read more here.
Keywords: parse tree; malay language; malay; parser ... See more keywords