Foundations of statistical natural language processing
Foundations of statistical natural language processing
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Summarization of discussion groups
Proceedings of the tenth international conference on Information and knowledge management
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Multilingual Anaphora Resolution
Machine Translation
Automatic summarization of open-domain multiparty dialogues in diverse genres
Computational Linguistics - Summarization
On coreferring: coreference in MUC and related annotation schemes
Computational Linguistics
Generating overview summaries of ongoing email thread discussions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
FASIL email summarisation system
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Learning to detect conversation focus of threaded discussions
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Summarizing email conversations with clue words
Proceedings of the 16th international conference on World Wide Web
Unsupervised Multilingual Sentence Boundary Detection
Computational Linguistics
Extracting the discussion structure in comments on news-articles
Proceedings of the 9th annual ACM international workshop on Web information and data management
Using Question-Answer Pairs in Extractive Summarization of Email Conversations
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Automatically assessing the post quality in online discussions on software
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Natural Language Processing with Python
Natural Language Processing with Python
ForAVis: explorative user forum analysis
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
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Web-based discussion fora proliferate on the Internet. These fora consist of threads about specific matters. Existing forum search facilities provide an easy way for finding threads of interest. However, understanding the content of threads is not always trivial. This problem becomes more pressing as threads become longer. It frustrates users that are looking for specific information and also makes it more difficult to make valuable contributions to a discussion. We postulate that having a concise summary of a thread would greatly help forum users. But, how would we best create such summaries? In this paper, we present an automated method of summarising threads in discussion fora. Compared with summarisation of unstructured texts and spoken dialogues, the structural characteristics of threads give important advantages. We studied how to best exploit these characteristics. Messages in threads contain both explicit and implicit references to each other and are structured. Therefore, we term the threads hierarchical dialogues. Our proposed summarisation algorithm produces one summary of an hierarchical dialogue by ‘cherry-picking’ sentences out of the original messages that make up a thread. We try to select sentences usable for obtaining an overview of the discussion. Our method is built around a set of heuristics based on observations of real fora discussions. The data used for this research was in Dutch, but the developed method equally applies to other languages. We evaluated our approach using a prototype. Users judged our summariser as very useful, half of them indicating they would use it regularly or always when visiting fora.