Peter D. Turney
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Peter D. Turney is a person.
References
- Professional Homepage: http://www.apperceptual.com/
- DBLP Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/t/Turney:Peter_D=.html
2010
- (Turney & Pantel, 2010) ⇒ Peter D. Turney, and Patrick Pantel. (2010). “From Frequency to Meaning: Vector Space Models of Semantics.” In: Journal of Artificial Intelligence Research, 37(1).
2007
- (Girju et al., 2007) ⇒ Roxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter D. Turney, and Deniz Yuret. (2007). “SemEval-2007 Task 04: Classification of Semantic Relations between Nominals.” In: Proceedings of Workshop on Semantic Evaluations (SemEval-2007).
2006
- (Turney, 2006) ⇒ Peter D. Turney. (2006). “Similarity of Semantic Relations.” In: Computational Linguistics, 32(3). doi:10.1162/coli.2006.32.3.379
2003
- (Turney, 2003) ⇒ Peter D. Turney. (2003). “Inference of Semantic Orientation from Association.” In: CoRR cs. CL/0309034.
- (Turney & Littman, 2003) ⇒ Peter D. Turney, and M. L. Littman. (2003). “Measuring Praise and Criticism: Inference of semantic orientation from association.” In: ACM Trans. On Information Systems, 21(4).
2002
- (Turney, 2002) ⇒ Peter D. Turney. (2002). “Thumbs up or Thumbs Down?: Semantic orientation applied to unsupervised classification of reviews.” In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL 2002). doi:10.3115/1073083.1073153
2001
- (Turney, 2001) ⇒ Peter D. Turney. (2001). “Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL.” In: Proceedings of the 12th European Conference on Machine Learning (ECML 2001)
2000
- (Turney, 2000) ⇒ Peter D. Turney. (2000). “Learning Algorithms for Keyphrase Extraction.” In: Journal of Information Retrieval, 2(4). doi:10.1023/A:1009976227802
1999
- (Turney, 1999) ⇒ Peter D. Turney. (1999). “Learning to Extract Keyphrases from Text.” National Research Council, Institute for Information Technology, Technical Report ERB-1057.
1997
- (Turney, 1997) ⇒ Peter D. Turney. (1997). “Extraction of Keyphrases from Text: Evaluation of Four Algorithms.” National Research Council, Institute for Information Technology, Technical Report ERB-1051.