Introduction to algorithms
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
An architecture for probabilistic concept-based information retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
A system for discovering relationships by feature extraction from text databases
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Information Retrieval
Topic detection and tracking
Explorations within topic tracking and detection
Topic detection and tracking
Relevance models for topic detection and tracking
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Incorporating query term dependencies in language models for document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A comparison of various approaches for using probabilistic dependencies in language modeling
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Exploiting syntactic structure of queries in a language modeling approach to IR
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Discriminative models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Linear discriminant model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Integrating word relationships into language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Set-based vector model: An efficient approach for correlation-based ranking
ACM Transactions on Information Systems (TOIS)
Dependency structure language model for topic detection and tracking
Information Processing and Management: an International Journal
Exploration of query context for information retrieval
Proceedings of the 16th international conference on World Wide Web
Effective keyword-based selection of relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Hot Topic Extraction Based on Timeline Analysis and Multidimensional Sentence Modeling
IEEE Transactions on Knowledge and Data Engineering
Parsimonious translation models for information retrieval
Information Processing and Management: an International Journal
Natural language processing for information retrieval: the time is ripe (again)
Proceedings of the ACM first Ph.D. workshop in CIKM
A graph method for keyword-based selection of the top-K databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A "Bag" or a "Window" of Words for Information Filtering?
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Relating dependent indexes using dempster-shafer theory
Proceedings of the 17th ACM conference on Information and knowledge management
Developing Evaluation Model of Topical Term for Document-Level Sentiment Classification
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
Tagging Sentence Boundaries in Biomedical Literature
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
A proximity language model for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Improved IR in cohesion model for link detection system
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
A multi-dependency language modeling approach to information retrieval
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Viewing term proximity from a different perspective
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using various term dependencies according to their utilities
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Document sentiment classification by exploring description model of topical terms
Computer Speech and Language
Using the X-IOTA system in mono- and bilingual experiments at CLEF 2005
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Effective query model estimation using parsimonious translation model in language modeling approach
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Binary lexical relations for text representation in information retrieval
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Knowledge discovery in web-directories: finding term-relations to build a business ontology
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Estimation of query model from parsimonious translation model
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Optimising search engines using evolutionally adapted language models in typed dependency parses
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Expert Systems with Applications: An International Journal
Learning to explore spatio-temporal impacts for event evaluation on social media
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
The bootstrapping based recognition of conceptual relationship for text retrieval
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
A novel neighborhood based document smoothing model for information retrieval
Information Retrieval
| Hi-index | 0.00 |
We describe a new probabilistic Sentence Tree Language Modeling approach that captures term dependency patterns in Topic Detection and Tracking's (TDT) Story Link Detection task. New features of the approach include modeling the syntactic structure of sentences in documents by a sentence-bin approach and a computationally efficient algorithm for capturing the most significant sentence-level term dependencies using a Maximum Spanning Tree approach, similar to Van Rijsbergen's modeling of document-level term dependencies.The new model is a good discriminator of on-topic and off-topic story pairs providing evidence that sentence-level term dependencies contain significant information about relevance. Although runs on a subset of the TDT2 corpus show that the model is outperformed by the unigram language model, a mixture of the unigram and the Sentence Tree models is shown to improve on the best performance especially in the regions of low false alarms.