Joint Modeling of Characters, Words, and Conversation Contexts for Microblog Keyphrase Extraction
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DOI: 10.1002/asi.24279
Abstract: Millions of messages are produced on microblog platforms every day, leading to the pressing need for automatic identification of key points from the massive texts. To absorb salient content from the vast bulk of microblog… read more here.
Keywords: microblog; keyphrase extraction; conversation; contexts ... See more keywords
Enhancing keyphrase extraction from microblogs using human reading time
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DOI: 10.1002/asi.24430
Abstract: The premise of manual keyphrase annotation is to read the corresponding content of an annotated object. Intuitively, when we read, more important words will occupy a longer reading time. Hence, by leveraging human reading time,… read more here.
Keywords: reading time; keyphrase extraction; human reading; time ... See more keywords
Automatic keyphrase extraction: a survey and trends
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DOI: 10.1007/s10844-019-00558-9
Abstract: Due to the exponential growth of textual data and web sources, an automatic mechanism is required to identify relevant information embedded within them. The utility of Automatic Keyphrase Extraction (AKPE) cannot be overstated, given its… read more here.
Keywords: extraction survey; information; keyphrase extraction; automatic keyphrase ... See more keywords
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations
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DOI: 10.1109/access.2019.2948891
Abstract: Keyphrase extraction is the task of automatically extracting descriptive phrases or concepts that represent the main topics in a document. Finding good keyphrases in a document can quickly summarize knowledge for information retrieval and decision… read more here.
Keywords: keyphrase extraction; semantic relations; document specific; extraction ... See more keywords
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction
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DOI: 10.1109/tkde.2019.2942295
Abstract: Existing methods for keyphrase extraction need preprocessing to generate candidate phrase or post-processing to transform keyword into keyphrase. In this paper, we propose a novel approach called duration modeling with semi-Markov Conditional Random Fields (DM-SMCRFs)… read more here.
Keywords: keyphrase extraction; semi markov; duration modeling; duration ... See more keywords
Deep neural model with self-training for scientific keyphrase extraction
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DOI: 10.1371/journal.pone.0232547
Abstract: Scientific information extraction is a crucial step for understanding scientific publications. In this paper, we focus on scientific keyphrase extraction, which aims to identify keyphrases from scientific articles and classify them into predefined categories. We… read more here.
Keywords: neural model; model; scientific keyphrase; keyphrase extraction ... See more keywords
Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling
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DOI: 10.2478/jdis-2021-0013
Abstract: Abstract Purpose Automatic keyphrase extraction (AKE) is an important task for grasping the main points of the text. In this paper, we aim to combine the benefits of sequence labeling formulation and pretrained language model… read more here.
Keywords: sequence labeling; keyphrase extraction; automatic keyphrase; character level ... See more keywords