# [paper阅读]使用层次解析结构来增强查询理解（一）

## 参考文献

[1] X. Li. Understanding the Semantic Structure of Noun Phrase Queries. In Proc. of ACL, 2010.
[2] D. Hakkani-Tr and G. Tur. Tutorial on Spoken Language Understanding. In Proc. of ICASSP, 2007.
[3] Y. Wang, L. Deng, and A. Acero. Spoken Language Understanding — An Introduction to the Statistical Framework. In IEEE Signal Processing Magazine, 2005.
[4] S. Hahn, P. Lehnen, C. Raymond, and H. Ney. A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding. In Proc. of LREC, 2008.
[5] M. Dinarelli, A. Moschitti, and G. Riccardi. Re-Ranking Models For Spoken Language Understanding. In Proc. of EACL, 2009.
[6] J. Lafferty, A. McCallum, and F. Pereira. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc. of ICML, 2001.
[7] M. Pasca and B. Van Durme. Weakly-supervised Acquisition of Open-domain Classes and Class Attributes from Web Documents and Query Logs. In Proc. of ACL-HLT, 2008.
[8] Y. Wang, R. Hoffmann, X. Li, and J. Szymanski. SemiSupervised Learning of Semantic Classes for Query. Understanding – from the Web and for the Web. In Proc. of CIKM, 2009.
[9] J. Liu, X. Li, A. Acero, and Y. Wang. Lexicon Modeling for Query Understanding. In Proc. of ICASSP, 2011.
[10] A. Celikyilmaz and D. Hakkani-Tur. A Joint Model for Discovery of Aspects in Utterances. In Proc. of ACL, 2012.
[11] M. Jeong and G. G. Lee. Triangular-chain Conditional Random Fields. IEEE Transactions on Audio, Speech and Language Processing (IEEE-TASLP), 2008.
[12] Y-Y. Wang. Strategies for Statistical Spoken Language Understanding with Small Amount of Data – An Empirical Study. In Proc. of Interspeech, 2010.
[13] J. Liu, S. Cyphers, P. Pasupat, I. Mcgraw, and J. Glass. A Conversational Movie Search System Based on Conditional Random Fields. In Proc. of Interspeech, 2012.
[14] J. R. Finkel and C. D. Manning. Joint Parsing and Named Entity Recognition. In Proc. of NAACL, 2009.
[15] J. R. Finkel and C. D. Manning. Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data. In Proc. of ACL, 2010.
[16] G. Druck, G. Mann, and A. McCallum. Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria. In Proc. of ACL, 2009.
[17] V. Punyakanok, D. Roth, and W. Yih. The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. Computational Linguistics, Vol. 34, No. 2, Pages 257-287, 2008.