Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Combining automatic and manual index representations in probabilistic retrieval
Journal of the American Society for Information Science
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Question-answering by predictive annotation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
Quantitative evaluation of passage retrieval algorithms for question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Combining document representations for known-item search
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Searching XML documents via XML fragments
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum entropy approach to identifying sentence boundaries
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
The automated acquisition of topic signatures for text summarization
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Question answering passage retrieval using dependency relations
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Building a reusable test collection for question answering
Journal of the American Society for Information Science and Technology - Research Articles
Building a reusable test collection for question answering
Journal of the American Society for Information Science and Technology - Research Articles
Toward automatic facet analysis and need negotiation: Lessons from mediated search
ACM Transactions on Information Systems (TOIS)
Kernel methods, syntax and semantics for relational text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
A generative retrieval model for structured documents
Proceedings of the 17th ACM conference on Information and knowledge management
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Ranking community answers by modeling question-answer relationships via analogical reasoning
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning graph walk based similarity measures for parsed text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Improving text retrieval precision and answer accuracy in question answering systems
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
Effective and efficient structured retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Answer typing for information retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Answering questions with an n-gram based passage retrieval engine
Journal of Intelligent Information Systems
Information Processing and Management: an International Journal
Rank learning for factoid question answering with linguistic and semantic constraints
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
What is not in the bag of words for why-qa?
Computational Linguistics
Linguistic kernels for answer re-ranking in question answering systems
Information Processing and Management: an International Journal
Enabling search for facts and implied facts in historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Statistical source expansion for question answering
Proceedings of the 20th ACM international conference on Information and knowledge management
Generating exact- and ranked partially-matched answers to questions in advertisements
Proceedings of the VLDB Endowment
Machine learning for query formulation in question answering
Natural Language Engineering
Using syntactic and semantic structural kernels for classifying definition questions in Jeopardy!
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A schema-driven approach for knowledge-oriented retrieval and query formulation
KEYS '12 Proceedings of the Third International Workshop on Keyword Search on Structured Data
Structural relationships for large-scale learning of answer re-ranking
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Graph based similarity measures for synonym extraction from parsed text
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
A phased ranking model for question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Hi-index | 0.00 |
Bag-of-words retrieval is popular among Question Answering (QA) system developers, but it does not support constraint checking and ranking on the linguistic and semantic information of interest to the QA system. We present anapproach to retrieval for QA, applying structured retrieval techniques to the types of text annotations that QA systems use. We demonstrate that the structured approach can retrieve more relevant results, more highly ranked, compared with bag-of-words, on a sentence retrieval task. We also characterize the extent to which structured retrieval effectiveness depends on the quality of the annotations.