Integrating word relationships into language models Export

@inproceedings{citeulike:451607, abstract = {In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the independence assumption. Our goal is to build a language model in which various word relationships can be integrated. In this work, we integrate two types of relationship extracted from WordNet and co-occurrence relationships respectively. The integrated model has been tested on several TREC collections. The results show that our model achieves substantial and significant improvements with respect to the models without these relationships. These results clearly show the benefit of integrating word relationships into language models for IR.}, address = {New York, NY, USA}, author = {Gao, Guihong and Nie, Jian-Yun and Bai, Jing}, booktitle = {SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval}, citeulike-article-id = {451607}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1076086}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1076034.1076086}, doi = {10.1145/1076034.1076086}, isbn = {1595930345}, keywords = {ir, language-model}, pages = {298--305}, posted-at = {2007-02-16 17:03:22}, priority = {2}, publisher = {ACM Press}, title = {Integrating word relationships into language models}, url = {http://dx.doi.org/10.1145/1076034.1076086}, year = {2005} }

TY - CONF ID - citeulike:451607 L3 - citeulike-article-id:451607 N2 - In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the independence assumption. Our goal is to build a language model in which various word relationships can be integrated. In this work, we integrate two types of relationship extracted from WordNet and co-occurrence relationships respectively. The integrated model has been tested on several TREC collections. The results show that our model achieves substantial and significant improvements with respect to the models without these relationships. These results clearly show the benefit of integrating word relationships into language models for IR. SN - 1595930345 AD - New York, NY, USA EP - 305 TI - Integrating word relationships into language models PB - ACM Press T2 - SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval SP - 298 KW - ir KW - language-model AU - Gao, Guihong AU - Nie, Jian-Yun AU - Bai, Jing PY - 2005/// UR - http://dx.doi.org/10.1145/1076034.1076086 ER -