The DOI matches its Crossref record.
Supporting analysis of future-related information in news archives and the web
Abstract
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore difficult for users to manually compare and aggregate it, and to re-construct the most probable course of future events. In this paper we approach a problem of automatically generating summaries of future events related to queries using data obtained from news archive collections or from the Web. We propose two methods, explicit and implicit future-related information detection. The former is based on analyzing the context of future temporal expressions in documents, while the latter relies on detecting periodical patterns in historical document collections. We present a graph-based visualization of future-related information and demonstrate its usefulness through several examples.
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Integrity signals
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Jatowt et al. 2009 introduced a clustering approach to summarize future-related information using text content, content dates, and timestamps of future predictions.
“[Jatowt et al. 2009] introduced a clustering approach to summarize futurerelated information using text content, the content dates, and the timestamps of future predictions.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Jatowt et al. 2009
Jatowt et al. 2009 proposed two methods to summarize future-related information in web pages and news articles.
“[Jatowt et al. 2009] proposed two methods to summarize future-related information in web pages and news articles.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Jatowt et al. 2009
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 11
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- 10.1080/03610927408827101 · DOI · Paper page
- 10.1145/1379092.1379106 · DOI
- 10.1145/1081870.1081883 · DOI
- 10.1145/1316902.1316925 · DOI · Paper page
- 10.5555/1770588.1770629 · DOI
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- G. Mishne and N. Glance . Predicting Movie Sales from Blogger Sentiment . Proceedings of the Spring Symposia on Computational Approaches to Analyzing Weblogs , 2006 . G. Mishne and N. Glance. Predicting Movie Sales from Blogger Sentiment. Proceedings of the Spring Symposia on Computational Approaches to Analyzing Weblogs, 2006.
- 10.1145/1321440.1321455 · DOI
- A. Pepe and J. Bollen . Between Conjecture and Memento: Shaping a Collective Emotional Perception of the Future . Proceedings of the AAAI 2008 Spring Symposium on Emotion, Personality and Social Behavior , 2008 . A. Pepe and J. Bollen. Between Conjecture and Memento: Shaping a Collective Emotional Perception of the Future. Proceedings of the AAAI 2008 Spring Symposium on Emotion, Personality and Social Behavior, 2008.
- 10.1080/1023697X.1998.10667783 · DOI
Cited by
Sorted by citations
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Self-citation
Metadata
- Authors
- Jatowt, A., Kanazawa, K., Oyama, S., & Tanaka, K.
- Affiliations
- Kyoto University, Kyoto, Japan
- Venue
- Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
- Publisher
- ACM
- Published
- 2009-06-15
- Pages
- 115-124
- Cited by
- 21
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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