Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Towards Multi-paper Summarization Using Reference Information
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Tracking point of view in narrative
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Role of verbs in document analysis
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Statistical models for topic segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning trees and rules with set-valued features
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Automatic summarisation of legal documents
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Computational Linguistics
A corpus study of evaluative and speculative language
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Learning to disambiguate potentially subjective expressions
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Summarising legal texts: sentential tense and argumentative roles
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Sensemaking tools for understanding research literatures: Design, implementation and user evaluation
International Journal of Human-Computer Studies
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Generative content models for structural analysis of medical abstracts
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Generative content models for structural analysis of medical abstracts
LNLBioNLP '06 Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology
Proceedings of the 10th annual joint conference on Digital libraries
Proceedings of the 6th International Conference on Semantic Systems
The Knowledge Engineering Review
Journal of the American Society for Information Science and Technology
Automatic metrics for genre-specific text quality
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
A coherence model based on syntactic patterns
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Identifying claimed knowledge updates in biomedical research articles
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
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We believe that identifying the structure of scientific argumentation in articles can help in tasks such as automatic summarization or the automated construction of citation indexes. One particularly important aspect of this structure is the question of who a given scientific statement is attributed to: other researchers, the field in general, or the authors themselves.We present the algorithm and a systematic evaluation of a system which can recognize the most salient textual properties that contribute to the global argumentative structure of a text. In this paper we concentrate on two particular features, namely the occurrences of prototypical agents and their actions in scientific text.