Graph-based natural language processing and information retrieval:
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Schlagwörter: | |
| Links: | https://doi.org/10.1017/CBO9780511976247 https://doi.org/10.1017/CBO9780511976247 https://doi.org/10.1017/CBO9780511976247 |
| Zusammenfassung: | Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Umfang: | 1 online resource (viii, 192 pages) |
| ISBN: | 9780511976247 |
| DOI: | 10.1017/CBO9780511976247 |
Internformat
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| 245 | 1 | 0 | |a Graph-based natural language processing and information retrieval |c Rada Mihalcea, Dragomir Radev |
| 246 | 1 | 3 | |a Graph-based Natural Language Processing & Information Retrieval |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2011 | |
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| 500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
| 505 | 8 | |a Machine generated contents note: Part I. Introduction to Graph Theory: 1. Notations, properties, and representations; 2. Graph-based algorithms; Part II. Networks: 3. Random networks; 4. Language networks; Part III. Graph-Based Information Retrieval: 5. Link analysis for the world wide web; 6. Text clustering; Part IV. Graph-Based Natural Language Processing: 7. Semantics; 8. Syntax; 9. Applications | |
| 520 | |a Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms | ||
| 650 | 4 | |a Natural language processing (Computer science) | |
| 650 | 4 | |a Graphical user interfaces (Computer systems) | |
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| 689 | 0 | 0 | |a Information Retrieval |0 (DE-588)4072803-1 |D s |
| 689 | 0 | 1 | |a Computerlinguistik |0 (DE-588)4035843-4 |D s |
| 689 | 0 | 2 | |a Graphentheorie |0 (DE-588)4113782-6 |D s |
| 689 | 0 | 3 | |a Algorithmus |0 (DE-588)4001183-5 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Radev, Dragomir |d 1968- |e Sonstige |4 oth | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Mihalcea, Rada 1974- |
| author_facet | Mihalcea, Rada 1974- |
| author_role | aut |
| author_sort | Mihalcea, Rada 1974- |
| author_variant | r m rm |
| building | Verbundindex |
| bvnumber | BV043943512 |
| classification_rvk | ST 270 ST 306 |
| collection | ZDB-20-CBO |
| contents | Machine generated contents note: Part I. Introduction to Graph Theory: 1. Notations, properties, and representations; 2. Graph-based algorithms; Part II. Networks: 3. Random networks; 4. Language networks; Part III. Graph-Based Information Retrieval: 5. Link analysis for the world wide web; 6. Text clustering; Part IV. Graph-Based Natural Language Processing: 7. Semantics; 8. Syntax; 9. Applications |
| ctrlnum | (ZDB-20-CBO)CR9780511976247 (OCoLC)767936852 (DE-599)BVBBV043943512 |
| dewey-full | 005.4/37 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.4/37 |
| dewey-search | 005.4/37 |
| dewey-sort | 15.4 237 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1017/CBO9780511976247 |
| format | Electronic eBook |
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| id | DE-604.BV043943512 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:49:21Z |
| institution | BVB |
| isbn | 9780511976247 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029352483 |
| oclc_num | 767936852 |
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| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (viii, 192 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2011 |
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| publisher | Cambridge University Press |
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| spelling | Mihalcea, Rada 1974- Verfasser aut Graph-based natural language processing and information retrieval Rada Mihalcea, Dragomir Radev Graph-based Natural Language Processing & Information Retrieval Cambridge Cambridge University Press 2011 1 online resource (viii, 192 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Part I. Introduction to Graph Theory: 1. Notations, properties, and representations; 2. Graph-based algorithms; Part II. Networks: 3. Random networks; 4. Language networks; Part III. Graph-Based Information Retrieval: 5. Link analysis for the world wide web; 6. Text clustering; Part IV. Graph-Based Natural Language Processing: 7. Semantics; 8. Syntax; 9. Applications Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms Natural language processing (Computer science) Graphical user interfaces (Computer systems) Information Retrieval (DE-588)4072803-1 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Graphentheorie (DE-588)4113782-6 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s Computerlinguistik (DE-588)4035843-4 s Graphentheorie (DE-588)4113782-6 s Algorithmus (DE-588)4001183-5 s 1\p DE-604 Radev, Dragomir 1968- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-89613-9 https://doi.org/10.1017/CBO9780511976247 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Mihalcea, Rada 1974- Graph-based natural language processing and information retrieval Machine generated contents note: Part I. Introduction to Graph Theory: 1. Notations, properties, and representations; 2. Graph-based algorithms; Part II. Networks: 3. Random networks; 4. Language networks; Part III. Graph-Based Information Retrieval: 5. Link analysis for the world wide web; 6. Text clustering; Part IV. Graph-Based Natural Language Processing: 7. Semantics; 8. Syntax; 9. Applications Natural language processing (Computer science) Graphical user interfaces (Computer systems) Information Retrieval (DE-588)4072803-1 gnd Algorithmus (DE-588)4001183-5 gnd Computerlinguistik (DE-588)4035843-4 gnd Graphentheorie (DE-588)4113782-6 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)4001183-5 (DE-588)4035843-4 (DE-588)4113782-6 |
| title | Graph-based natural language processing and information retrieval |
| title_alt | Graph-based Natural Language Processing & Information Retrieval |
| title_auth | Graph-based natural language processing and information retrieval |
| title_exact_search | Graph-based natural language processing and information retrieval |
| title_full | Graph-based natural language processing and information retrieval Rada Mihalcea, Dragomir Radev |
| title_fullStr | Graph-based natural language processing and information retrieval Rada Mihalcea, Dragomir Radev |
| title_full_unstemmed | Graph-based natural language processing and information retrieval Rada Mihalcea, Dragomir Radev |
| title_short | Graph-based natural language processing and information retrieval |
| title_sort | graph based natural language processing and information retrieval |
| topic | Natural language processing (Computer science) Graphical user interfaces (Computer systems) Information Retrieval (DE-588)4072803-1 gnd Algorithmus (DE-588)4001183-5 gnd Computerlinguistik (DE-588)4035843-4 gnd Graphentheorie (DE-588)4113782-6 gnd |
| topic_facet | Natural language processing (Computer science) Graphical user interfaces (Computer systems) Information Retrieval Algorithmus Computerlinguistik Graphentheorie |
| url | https://doi.org/10.1017/CBO9780511976247 |
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