Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Similarity measures for tracking information flow
Proceedings of the 14th ACM international conference on Information and knowledge management
Syntactic simplification for improving content selection in multi-document summarization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Novelty detection: the TREC experience
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Aspects of sentence retrieval
MRF based approach for sentence retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A comparison of sentence retrieval techniques
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Effective and efficient user interaction for long queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
The third PASCAL recognizing textual entailment challenge
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Joint annotation of search queries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Evidence finding using a collection of books
Proceedings of the 4th ACM workshop on Online books, complementary social media and crowdsourcing
Increasing recall for text re-use in historical documents to support research in the humanities
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
| Hi-index | 0.00 |
We consider the problem of retrieving sentence level restatements. Formally, we define restatements as sentences that contain all or some subset of information present in a query sentence. Identifying restatements is useful for several applications such as multi-document summarization, document provenance, text reuse and novelty detection. Spurious partial matches and term dependence become important issues for restatement retrieval in these settings. To address these issues, we focus on query models that capture relative term importance and sequential term dependence. In this paper, we build query models using syntactic information such as subject-verb-objects and phrases. Our experimental results on two different collections show that syntactic query models are consistently more effective than purely statistical alternatives.