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The impact of document structure on keyphrase extraction
2009
Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09
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Document structure may contain useful information about which parts or phrases of a document are important, but has rarely been considered as a source of information for keyphrase extraction. ...
Keyphrases are short phrases that reflect the main topic of a document. ...
Despite the large amount of structured and semi-structured documents available on the web and in organizations, there is little work on exploiting document structure for keyphrase extraction. ...
doi:10.1145/1645953.1646215
dblp:conf/cikm/HofmannTMR09
fatcat:3bjz3q5xgzh7bmui5usoaecnpm
Addressing Overgeneration Error: An Effective and Effcient Approach to Keyphrase Extraction from Scientific Papers
2018
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
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With the large and increasing amount of online documents, automatic keyphrase extraction has attracted much attention. ...
Experiments on two datasets show our approach significantly alleviates the overgeneration error and obtains improvement in performance over stateof-the-art keyphrase extraction approaches. ...
Acknowledgments This material is based upon work supported by the National Science Foundation under Grant No. 1652442. ...
dblp:conf/sigir/JiaS18
fatcat:jounq4cj3fax3elknrxuqmfcui
How Document Pre-processing affects Keyphrase Extraction Performance
[article]
2016
arXiv
pre-print
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In previous work, a wide range of document preprocessing techniques were described but their impact on the overall performance of keyphrase extraction models is still unexplored. ...
The SemEval-2010 benchmark dataset has brought renewed attention to the task of automatic keyphrase extraction. ...
to sophisticated document logical structure detection on richly-formatted documents recovered from Google Scholar . ...
arXiv:1610.07809v1
fatcat:7h25w3225ze5zhnltqovubdzri
A Review of Unsupervised Keyphrase Extraction Methods Using Within-Collection Resources
2020
Symmetry
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In this paper, the mainstream unsupervised methods to extract keyphrases are summarized, and we analyze in detail the reasons for the differences in the performance of methods then provided some solutions ...
An essential part of a text generation task is to extract critical information from the text. ...
Structural features: The difficulty of keyphrase extraction will be reduced by their fixed structures. ...
doi:10.3390/sym12111864
fatcat:izjth5vddfg7hp6ql4ybfygw7q
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
2018
Proceedings of the 22nd Conference on Computational Natural Language Learning
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Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. ...
Supervised keyphrase extraction requires large amounts of labeled training data and generalizes very poorly outside the domain of the training data. ...
The results also show that the choice of document embeddings has a high impact on the keyphrase quality. ...
doi:10.18653/v1/k18-1022
dblp:conf/conll/Bennani-SmiresM18
fatcat:7jijbce5g5du7ccwmnyepvx2vm
Query-Based Keyphrase Extraction from Long Documents
2022
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
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This paper overcomes this issue for keyphrase extraction by chunking the long documents while keeping a global context as a query defining the topic for which relevant keyphrases should be extracted. ...
The presented results show that a shorter context with a query overcomes a longer one without the query on long documents. ...
The computation used the infrastructure supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90140). ...
doi:10.32473/flairs.v35i.130737
fatcat:azo7psgumveqdlojeaicmgdgsy
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
[article]
2018
arXiv
pre-print
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Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. ...
Supervised keyphrase extraction requires large amounts of labeled training data and generalizes very poorly outside the domain of the training data. ...
The results also show that the choice of document embeddings has a high impact on the keyphrase quality. ...
arXiv:1801.04470v3
fatcat:wbbamh2unzcnbfo3qo25gziyfu
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2008.01739v1 fatcat:6lqa3df3qjc4xhdruhsnr7gune
However, one of the major challenges in neural keyphrase generation is processing long documents using deep neural networks. ...
The experimental results on seven keyphrase generation benchmarks from scientific and web documents demonstrate that SEG-Net outperforms the state-of-the-art neural generative methods by a large margin ...
Since POS tagging requires learning the syntactic structure of the keyphrases, we hypothesize that it can guide the decoder to generate structurally coherent keyphrases. ...
arXiv:2008.01739v2
fatcat:mqnhe3cjkva6nojewf7r2cpq2e
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
[article]
2021
arXiv
pre-print
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In terms of the local view, we first build a graph structure based on the document where phrases are regarded as vertices and the edges are similarities between vertices. ...
Embedding based methods are widely used for unsupervised keyphrase extraction (UKE) tasks. ...
This work was supported in part by the National Natural Science Foundation of China (Grant Nos.U1636211, 61672081,61370126), the 2020 Tencent Wechat Rhino-Bird Focused Research Program, and the Fund of ...
arXiv:2109.07293v1
fatcat:2ht4y4a7nvg4phhibdb3qtuwgu
Accurate Keyphrase Extraction from Scientific Papers by Mining Linguistic Information
2015
International Conference on Scientometrics and Informetrics
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In this paper we investigate the impact of candidate terms filtering using linguistic information on the accuracy of automatic keyphrase extraction from scientific papers. ...
We estimated experimentally the accuracy of a keyphrase extraction system using different noun phrase filters in order to determine which noun phrase definition yields to the best results. ...
In this paper we investigate the impact of candidate terms filtering using linguistic information on the accuracy of automatic keyphrase extraction. ...
dblp:conf/issi/HaddoudMLA15
fatcat:k2umsojdvffxpb67qeotxpox2i
Hyperbolic Relevance Matching for Neural Keyphrase Extraction
[article]
2022
arXiv
pre-print
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Keyphrase extraction is a fundamental task in natural language processing and information retrieval that aims to extract a set of phrases with important information from a source document. ...
Identifying important keyphrase is the central component of the keyphrase extraction task, and its main challenge is how to represent information comprehensively and discriminate importance accurately. ...
of candidate phrases in the keyphrase extraction task. ...
arXiv:2205.02047v1
fatcat:7ao27o6nv5cw3a6s2rfk5rhupu
A New Keyphrases Extraction Method Based on Suffix Tree Data Structure for Arabic Documents Clustering
2013
International Journal of Database Management Systems
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To overcome this problem, in this paper, we propose a new and efficient Keyphrases extraction method based on the Suffix Tree data structure (KpST), the extracted Keyphrases are then used in the clustering ...
The obtained results show that our method for extracting Keyphrases increases the quality of the clustering results. ...
The Figure 5 presents the same experiments steps as Figure. 4 by using the stemming process before Keyphrases extraction in order to study it impact on the clustering results. ...
doi:10.5121/ijdms.2013.5602
fatcat:4eecve5x7bhi5mehogmjuyfi3i
Multiple Domain Answering by Analysing Semantic Relationship in QA Forum
2018
International Journal for Research in Applied Science and Engineering Technology
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Though, previous techniques were introduced a key phrase extraction model, still the issues like word mismatching, misidentification of the words are not yet focused. ...
Key phrases is the subfield that contains metadata that summarizes and characterize the documents. ...
Feature Selection Structural features encode how different instances of a candidate keyphrase are located in different parts of a document. ...
doi:10.22214/ijraset.2018.2001
fatcat:xowfhw5ojzb2xjlukqjetvwvry
Keyphrase Extraction Using Semantic Networks Structure Analysis
2006
IEEE International Conference on Data Mining. Proceedings
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Structural dynamics of these networks can easily identify key nodes, which can be used to extract keyphrases unsupervisedly. ...
Keyphrases play a key role in text indexing, summarization, and categorization. However, most of the existing keyphrase extraction approaches require human-labeled training sets. ...
Granted that the structure of a network represents the structure of its source document and the edges represent syntactic relation, to extract a keyphrase is to find a key node in the network. ...
doi:10.1109/icdm.2006.92
dblp:conf/icdm/HuangTZLH06
fatcat:ebmhu3gdnfdd7gyyxwam74uyuy
Text Preprocessing using Annotated Suffix Tree with Matching Keyphrase
2015
International Journal of Electrical and Computer Engineering (IJECE)
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Content of text is represented by keyphrases, which consist of one or more meaningful words. Keyphrases can be extracted from text through several steps of processing, including text preprocessing. ...
Annotated Suffix Tree (AST) built from the documents collection itself is used to extract the keyphrase, after basic text preprocessing that includes removing stop words and stemming are applied. ...
Boris Mirkin for his contributions to this research.This research was supported partially by Grant from Directorate of Higher Education of Indonesia. ...
doi:10.11591/ijece.v5i3.pp409-420
fatcat:xm42wcqaufckfbvacogct2x7cm
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