Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language processing for information retrieval
Communications of the ACM
Scaling question answering to the Web
Proceedings of the 10th international conference on World Wide Web
Exploiting redundancy in question answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Implementation of the SMART Information Retrieval System
Implementation of the SMART Information Retrieval System
Hindi-english cross-lingual question-answering system
ACM Transactions on Asian Language Information Processing (TALIP)
Sentiment analysis of blogs by combining lexical knowledge with text classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Good neighbors make good senses: exploiting distributional similarity for unsupervised WSD
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Graph connectivity measures for unsupervised word sense disambiguation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Learning sentiment classification model from labeled features
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Self-training from labeled features for sentiment analysis
Information Processing and Management: an International Journal
ACM Transactions on Speech and Language Processing (TSLP)
Incorporating Sentiment Prior Knowledge for Weakly Supervised Sentiment Analysis
ACM Transactions on Asian Language Information Processing (TALIP)
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Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers, and answer extractors in complex and ad-hoc ways. We seek to make QA systems reproducible with shared and modest human effort, carefully separating knowledge from algorithms. To this end, we propose an aesthetically "clean" Bayesian inference scheme for exploiting lexical relations for passage-scoring for QA. The factors which contribute to the efficacy of Bayesian Inferencing on lexical relations are soft word sense disambiguation, parameter smoothing which ameliorates the data sparsity problem and estimation of joint probability over words which overcomes the deficiency of naive-bayes-like approaches. Our system is superior to vector-space ranking techniques from IR, and its accuracy approaches that of the top contenders at the TREC QA tasks in recent years.