The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Language Modeling Approach for Temporal Information Needs
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
The results show that SVM MAP learning-to-rank model outperforms the proposed method of Berberich et al. 2010.
“The results show that SVM MAP learning-to-rank model outperforms the proposed method of [Berberich et al. 2010].”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Berberich et al. 2010
Citations
Cites
Measuring nominal scale agreement among many raters.
Fleiss, J. L. (1971) · Psychological Bulletin · doi:10.1037/h0031619 · Cited by 8,733
Flagged first, then by citations
Research works printed but not linked: 17
- Nunes, S., et al.: Use of Temporal Expressions in Web Search. In: ECIR (2008) · DOI
- Metzler, D., et al.: Improving Search Relevance for Implicitly Temporal Queries. In: SIGIR (2009) · DOI · Paper page
- Arikan, I., et al.: Time Will Tell: Leveraging Temporal Expressions in IR. In: WSDM (2009)
- Baeza-Yates, R.A.: Searching the future. In: SIGIR Workshop MF/IR (2005) · DOI
- Kalczynski, P.J., Chou, A.: Temporal document retrieval model for business news archives. Inf. Process. Manage. (2005) · DOI
- Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: SIGIR (1998) · DOI · Paper page
- Manning, C.D., et al.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008) · DOI · Paper page
- Text REtrievel Conference, http://trec.nist.gov
- Verhagen, M., et al.: Automating Temporal Annotation with TARSQI. In: ACL (2005) · DOI
- Alonso, O., et al.: On the value of temporal information in information retrieval. SIGIR Forum (2007) · DOI
- Li, X., Croft, W.B.: Time-based language models. In: CIKM (2003) · DOI · Paper page
- Dakka, W., et al.: Answering general time sensitive queries. In: CIKM (2008) · DOI
- Kanhabua, N., Nørvåg, K.: Improving temporal language models for determining time of non-timestamped documents. In: ECDL (2008) · DOI · Paper page
- Jones, R., Diaz, F.: Temporal profiles of queries. ACM Trans. Inf. Syst. (2007) · DOI · Paper page
- Verhagen, M., Moszkowicz, J.L.: Temporal Annotation and Representation. In: Language and Linguistics Compass (2009) · DOI
- Koen, D.B., Bender, W.: Time frames: Temporal augmentation of the news. IBM Systems Journal (2000) · DOI
- Alonso, O., et al.: Crowdsourcing for relevance evaluation. SIGIR Forum (2008) · 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
Metadata
- Authors
- Berberich, K., Bedathur, S., Alonso, O., & Weikum, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 13-25
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 96
- References
- 1
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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