Massimo Poesio is a cognitive scientist with a primaryinterest in computational linguist but interests in psycholinguistics and neuroscienceas well. His research includes the development of computational models of semantic and discourse interpretation (in particular,  anaphora resolution); the creation of  corpora of anaphorically annotated  data (hepioneered the use of  games-with-a-purpose for computational linguistics with the development of Phrase Detectives, http://www.phrasedetectives.org); the study of commonsense knowledge using a combination of methods from computational linguistics and from neuroscience; and the application of text analytics methods to real life problems, such as deception detection and the identification of reports of human rights violations in social media. Roland Stuckardt works as a consultant, research &development manager,and scientific researcher in the fields of computationallinguistics and natural language processing. He studied computer science andeconomics at Goethe University Frankfurt. During his work at the GermanNational Research Center for Information Technology (GMD) Darmstadt, hespecialized in text analysis, parsing, discourse semantics, and robust anaphorresolution. He received his PhD at Goethe University for his research oncomputer-based text content analysis in the social sciences. Among his research interests and main fields of work areanaphora processing, information extraction, media content monitoring,innovative natural language processing applications in general, and computerchess. Yannick Versley is a group leader in the Leibniz-ScienceCampus "EmpiricalLinguistics and Computational Language Modeling", a collaborationbetween the Institute for German Language (IDS) in Mannheim and the Institutefor Computational Linguistics at the University ofHeidelberg. He studiedComputer Science, Physics and Mathematics in Hamburg before doing a PhD inTübingen on the coreference resolution of definitenoun phrases in German newspaper text. During his subsequent work inRovereto/Trento, Tübingen, and Heidelberg, he has worked on anumber of topics including statistical parsing, coreference resolution, discourse relations, and distributional semantics, with particular attention to German.

• Preface.-1.Introduction.- Part I  Background.- 2.Linguistic and CognitiveEvidence About Anaphora.- 3. Early Approaches to Anaphora Resolution:Theoretically Inspired and Heuristic-Based.- Part II Resources.- 4.Annotated Corpora and Annotation Tools.- 5.EvaluationMetrics.- 6.Evaluation Campaigns.- 7.Preprocessing Technology.- 8.Off-the-shelfTools.- Part III Algorithms.- 9.TheMention-Pair Model.- 10.Advanced Machine Learning Models for CoreferenceResolution.- 11.Integer Linear Programming for Coreference Resolution.- 12.ExtractingAnaphoric Agreement Properties from Corpora.- 13.Detecting Non-reference andNon-anaphoricity.- 14.Using Lexical and Encyclopedic Knowledge.- Part IV Applications.- 15.CoreferenceApplications to Summarization.- 16.Towards a Procedure Model for DevelopingAnaphora Processing Applications.- PartV Outlook.- 17.Challenges and Directions of Further Research.- Index.

Massimo Poesio is a cognitive scientist with a primaryinterest in computational linguist but interests in psycholinguistics and neuroscienceas well. His research includes the development of computational models of semantic and discourse interpretation (in particular,  anaphora resolution); the creation of  corpora of anaphorically annotated  data (hepioneered the use of  games-with-a-purpose for computational linguistics with the development of Phrase Detectives, http://www.phrasedetectives.org); the study of commonsense knowledge using a combination of methods from computational linguistics and from neuroscience; and the application of text analytics methods to real life problems, such as deception detection and the identification of reports of human rights violations in social media. Roland Stuckardt works as a consultant, research &development manager,and scientific researcher in the fields of computationallinguistics and natural language processing. He studied computer science andeconomics at Goethe University Frankfurt. During his work at the GermanNational Research Center for Information Technology (GMD) Darmstadt, hespecialized in text analysis, parsing, discourse semantics, and robust anaphorresolution. He received his PhD at Goethe University for his research oncomputer-based text content analysis in the social sciences. Among his research interests and main fields of work areanaphora processing, information extraction, media content monitoring,innovative natural language processing applications in general, and computerchess. Yannick Versley is a group leader in the Leibniz-ScienceCampus "EmpiricalLinguistics and Computational Language Modeling", a collaborationbetween the Institute for German Language (IDS) in Mannheim and the Institutefor Computational Linguistics at the University ofHeidelberg. He studiedComputer Science, Physics and Mathematics in Hamburg before doing a PhD inTübingen on the coreference resolution of definitenoun phrases in German newspaper text. During his subsequent work inRovereto/Trento, Tübingen, and Heidelberg, he has worked on anumber of topics including statistical parsing, coreference resolution, discourse relations, and distributional semantics, with particular attention to German.

• Preface.-1.Introduction.- Part I  Background.- 2.Linguistic and CognitiveEvidence About Anaphora.- 3. Early Approaches to Anaphora Resolution:Theoretically Inspired and Heuristic-Based.- Part II Resources.- 4.Annotated Corpora and Annotation Tools.- 5.EvaluationMetrics.- 6.Evaluation Campaigns.- 7.Preprocessing Technology.- 8.Off-the-shelfTools.- Part III Algorithms.- 9.TheMention-Pair Model.- 10.Advanced Machine Learning Models for CoreferenceResolution.- 11.Integer Linear Programming for Coreference Resolution.- 12.ExtractingAnaphoric Agreement Properties from Corpora.- 13.Detecting Non-reference andNon-anaphoricity.- 14.Using Lexical and Encyclopedic Knowledge.- Part IV Applications.- 15.CoreferenceApplications to Summarization.- 16.Towards a Procedure Model for DevelopingAnaphora Processing Applications.- PartV Outlook.- 17.Challenges and Directions of Further Research.- Index.

Massimo Poesio is a cognitive scientist with a primaryinterest in computational linguist but interests in psycholinguistics and neuroscienceas well. His research includes the development of computational models of semantic and discourse interpretation (in particular,  anaphora resolution); the creation of  corpora of anaphorically annotated  data (hepioneered the use of  games-with-a-purpose for computational linguistics with the development of Phrase Detectives, http://www.phrasedetectives.org); the study of commonsense knowledge using a combination of methods from computational linguistics and from neuroscience; and the application of text analytics methods to real life problems, such as deception detection and the identification of reports of human rights violations in social media. Roland Stuckardt works as a consultant, research &development manager,and scientific researcher in the fields of computationallinguistics and natural language processing. He studied computer science andeconomics at Goethe University Frankfurt. During his work at the GermanNational Research Center for Information Technology (GMD) Darmstadt, hespecialized in text analysis, parsing, discourse semantics, and robust anaphorresolution. He received his PhD at Goethe University for his research oncomputer-based text content analysis in the social sciences. Among his research interests and main fields of work areanaphora processing, information extraction, media content monitoring,innovative natural language processing applications in general, and computerchess. Yannick Versley is a group leader in the Leibniz-ScienceCampus "EmpiricalLinguistics and Computational Language Modeling", a collaborationbetween the Institute for German Language (IDS) in Mannheim and the Institutefor Computational Linguistics at the University ofHeidelberg. He studiedComputer Science, Physics and Mathematics in Hamburg before doing a PhD inTübingen on the coreference resolution of definitenoun phrases in German newspaper text. During his subsequent work inRovereto/Trento, Tübingen, and Heidelberg, he has worked on anumber of topics including statistical parsing, coreference resolution, discourse relations, and distributional semantics, with particular attention to German.

• Preface.-1.Introduction.- Part I  Background.- 2.Linguistic and CognitiveEvidence About Anaphora.- 3. Early Approaches to Anaphora Resolution:Theoretically Inspired and Heuristic-Based.- Part II Resources.- 4.Annotated Corpora and Annotation Tools.- 5.EvaluationMetrics.- 6.Evaluation Campaigns.- 7.Preprocessing Technology.- 8.Off-the-shelfTools.- Part III Algorithms.- 9.TheMention-Pair Model.- 10.Advanced Machine Learning Models for CoreferenceResolution.- 11.Integer Linear Programming for Coreference Resolution.- 12.ExtractingAnaphoric Agreement Properties from Corpora.- 13.Detecting Non-reference andNon-anaphoricity.- 14.Using Lexical and Encyclopedic Knowledge.- Part IV Applications.- 15.CoreferenceApplications to Summarization.- 16.Towards a Procedure Model for DevelopingAnaphora Processing Applications.- PartV Outlook.- 17.Challenges and Directions of Further Research.- Index.