000 04231nam a22005295i 4500
001 978-3-031-02163-3
003 DE-He213
005 20240730163825.0
007 cr nn 008mamaa
008 220601s2016 sz | s |||| 0|eng d
020 _a9783031021633
_9978-3-031-02163-3
024 7 _a10.1007/978-3-031-02163-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aStrötgen, Jannik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980675
245 1 0 _aDomain-Sensitive Temporal Tagging
_h[electronic resource] /
_cby Jannik Strötgen, Michael Gertz.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVII, 133 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
505 0 _aList of Figures -- List of Tables -- Preface -- Acknowledgments -- Introduction -- The Concept of Time -- Foundations of Temporal Tagging -- Domain-sensitive Temporal Tagging -- Techniques and Tools -- Summary and Future Research Directions -- Bibliography -- Authors' Biographies -- Index.
520 _aThis book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format. It places a special focus on the challenges and opportunities of domain-sensitive temporal tagging. After providing background knowledge on the concept of time, the book continues with a comprehensive survey of current research on temporal tagging. The authors provide an overview of existing techniques and tools, and highlight key issues that need to be addressed. This book is a valuable resource for researchers and application developers who need to become familiar with the topic and want to know the recent trends, current tools and techniques, as well as different application domains in which temporal information is of utmost importance. Due to the prevalence of temporal expressions in diverse types of documents and the importance of temporal information in any information space, temporal tagging is an important task in natural language processing (NLP), and applications of several domains can benefit from the output of temporal taggers to provide more meaningful and useful results. In recent years, temporal tagging has been an active field in NLP and computational linguistics. Several approaches to temporal tagging have been proposed, annotation standards have been developed, gold standard data sets have been created, and research competitions have been organized. Furthermore, some temporal taggers have also been made publicly available so that temporal tagging output is not just exploited in research, but is finding its way into real world applications. In addition, this book particularly focuses on domain-specific temporal tagging of documents. This is a crucial aspect as different types of documents (e.g., news articles, narratives, and colloquial texts) result in diverse challenges for temporal taggers and should be processed in a domain-sensitive manner.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
700 1 _aGertz, Michael.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980676
710 2 _aSpringerLink (Online service)
_980677
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031010354
776 0 8 _iPrinted edition:
_z9783031032912
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_980678
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02163-3
912 _aZDB-2-SXSC
942 _cEBK
999 _c85011
_d85011