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SEM12 at the NTCIR-10 INTENT-2 English Subtopic Mining Subtask

Md Zia Ullah, Masaki Aono, Md. Hanif Seddiqui
2013 NTCIR Conference on Evaluation of Information Access Technologies  
However, search queries are usually short, ambiguous and/or underspecified.  ...  In this paper, we describe our approach to identifying, and then ranking user's intents for a query (or topic) from query logs, which is an english subtopic mining subtask of the NTCIR-10 Intent-2 task  ...  This research was partially supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grant-in-Aid(C) 23500119.  ... 
dblp:conf/ntcir/UllahAS13 fatcat:z5jt4kr3fncbbi6a6qvy45cyb4

The Impact of Temporal Intent Variability on Diversity Evaluation [chapter]

Ke Zhou, Stewart Whiting, Joemon M. Jose, Mounia Lalmas
2013 Lecture Notes in Computer Science  
or operating system for the query 'jaguar'.  ...  To cope with the uncertainty involved with ambiguous or underspecified queries, search engines often diversify results to return documents that cover multiple interpretations, e.g. the car brand, animal  ...  Introduction and Related Work The uncertainty involved with ambiguous and underspecified queries is a common problem in information retrieval (IR) [1] .  ... 
doi:10.1007/978-3-642-36973-5_93 fatcat:uwn23yl3cvddpez2tysebopsam

Semantic Parsing of Ambiguous Input through Paraphrasing and Verification

Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
2015 Transactions of the Association for Computational Linguistics  
We propose a new method for semantic parsing of ambiguous and ungrammatical input, such as search queries.  ...  Using this formalism, we construct a grammar that takes an ambiguous input string and jointly maps it into both a meaning representation and a natural language paraphrase that is less ambiguous than the  ...  Acknowledgments We thank Professor Yuji Matsumoto and Assistant Professor Kevin Duh for the discussions and insight-ful ideas for the paper.  ... 
doi:10.1162/tacl_a_00159 fatcat:iuluuyqrl5adhifphftjiuowlq

Scaling Semantic Parsers with On-the-Fly Ontology Matching

Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke S. Zettlemoyer
2013 Conference on Empirical Methods in Natural Language Processing  
For example, even simple phrases such as 'daughter' and 'number of people living in' cannot be directly represented in Freebase, whose ontology instead encodes facts about gender, parenthood, and population  ...  The parser is learned from question-answer pairs, uses a probabilistic CCG to build linguistically motivated logicalform meaning representations, and includes an ontology matching model that adapts the  ...  The authors thank Anthony Fader, Nicholas FitzGerald, Adrienne Wang, Daniel Weld, and the anonymous reviewers for their helpful comments and feedback.  ... 
dblp:conf/emnlp/KwiatkowskiCAZ13 fatcat:2d2ulpzrnzcvbnxvorvjbgrvca

Diversify and Disambiguate: Learning From Underspecified Data [article]

Yoonho Lee, Huaxiu Yao, Chelsea Finn
2022 arXiv   pre-print
Underspecification can be problematic for methods that learn a single hypothesis because different functions that achieve low training loss can focus on different predictive features and thus produce widely  ...  Many datasets are underspecified: there exist multiple equally viable solutions to a given task.  ...  Acknowledgements We thank Pang Wei Koh, Henrik Marklund, Annie Chen, Damien Teney, and members of the IRIS and RAIL groups for helpful feedback.  ... 
arXiv:2202.03418v2 fatcat:uqmjpjs3uneu7dwqcit6qp7aym

Re-ranking search results using query logs

Ziming Zhuang, Silviu Cucerzan
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
intent, and fresh and relevant pages may not get high ranks for an underspecified query due to their freshness and to the large number of pages that match the query, despite the fact that a large number  ...  We propose a novel method, Q-Rank, to effectively refine the ranking of search results for any given query by constructing the query context from search query logs.  ...  Let D(q) (or simply D when no ambiguity arises from omitting the target query) denote a set of candidate documents for ranking.  ... 
doi:10.1145/1183614.1183767 dblp:conf/cikm/ZhuangC06 fatcat:dzca6ovninfh3ddkoos2t6q33a

Building a Microblog Corpus for Search Result Diversification [chapter]

Ke Tao, Claudia Hauff, Geert-Jan Houben
2013 Lecture Notes in Computer Science  
Queries that users pose to search engines are often ambiguous -either because different users express different query intents with the same query terms or because the query is underspecified and it is  ...  in recent years to be an effective strategy to satisfy search engine users.  ...  Introduction Queries that users pose to search engines are often ambiguous -either because different users express different query intents with the same query terms or because the query is underspecified  ... 
doi:10.1007/978-3-642-45068-6_22 fatcat:oervo5fykfapzmf53uzstywcka

Exploiting Semantic Query Context to Improve Search Ranking

Ziming Zhuang, Silviu Cucerzan
2008 2008 IEEE International Conference on Semantic Computing  
One challenge for relevance ranking in Web search is underspecified queries.  ...  By analyzing the semantic query context extracted from the query logs, we propose Q-Rank to effectively improve the ranking of search results for a given query.  ...  Underspecified queries pose a challenge for relevance ranking. What is an underspecified search query?  ... 
doi:10.1109/icsc.2008.8 dblp:conf/semco/ZhuangC08 fatcat:zzemunbft5h5peomxfv77tk5oy

Improving Aggregated Search Coherence [chapter]

Jaime Arguello
2015 Lecture Notes in Computer Science  
Aggregated search coherence is the extent to which results from different sources focus on similar senses of an ambiguous or underspecified query.  ...  Prior research studied the effect of aggregated search coherence on search behavior and found that the query-senses in the vertical results can affect user interaction with the web results.  ...  Given an ambiguous or underspecified query (e.g., "saturn"), a common strategy for a search engine is to diversify its results (e.g., to return results about "saturn" the planet, the car, and the Roman  ... 
doi:10.1007/978-3-319-16354-3_3 fatcat:2pkmx62vljdjvckvy3dkmhjfb4

An in-depth study on diversity evaluation: The importance of intrinsic diversity

Hai-Tao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose
2017 Information Processing & Management  
Diversified document ranking has been recognized as an effective strategy to tackle ambiguous and/or underspecified queries.  ...  In this paper, we conduct an in-depth study on diversity evaluation that provides insights for assessing the performance of a diversified retrieval system.  ...  This is because intent-square metrics can measure the intrinsic diversity of the first-level subtopics of either an ambiguous query or a broad query.  ... 
doi:10.1016/j.ipm.2017.03.001 fatcat:yn6wskbt4jezrnnz2oii4zcm3u

Inferring query aspects from reformulations using clustering

Van Dang, Xiaobing Xue, W. Bruce Croft
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
In this paper, we propose to do this by clustering reformulated queries generated from publicly availables resources and using each cluster to represent an aspect of the query.  ...  Our results show that the automatically generated reformulations for the TREC Web Track queries match up quite well with actual sub-topics of these queries identified by TREC experts.  ...  INTRODUCTION User queries do not always clearly represent the actual information need. They can be ambiguous or underspecified.  ... 
doi:10.1145/2063576.2063904 dblp:conf/cikm/DangXC11 fatcat:6ufhkdavynat5csii5uz7yylcm

Search Result Diversification

Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2015 Foundations and Trends in Information Retrieval  
Recall that the information needs underlying an ambiguous query are generally referred to as query interpretations, whereas those underlying an underspecified query are referred to as query aspects [Clarke  ...  While a high assessor agreement (90%) was observed for judging whether a given query was ambiguous or not, distinguishing between underspecified and clear queries turned out to be substantially more difficult  ... 
doi:10.1561/1500000040 fatcat:g4vxxda6u5aaljeqg6n47lushu

Categorizing web queries according to geographical locality

Luis Gravano, Vasileios Hatzivassiloglou, Richard Lichtenstein
2003 Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03  
Deciding whether an unseen query should produce mostly local or global pages-without placing this burden on the search engine users-is an important and challenging problem, because queries are often ambiguous  ...  or underspecify the information they are after.  ...  Also, we would like to thank Thorsten Joachims for answering our questions on SVM-Light, and David Parkes for his helpful comments and insight.  ... 
doi:10.1145/956923.956925 fatcat:pj52niug2rh6rf45h3y6pt3wfe

TUTA1 at the NTCIR-11 IMine Task

Haitao Yu, Fuji Ren
2014 NTCIR Conference on Evaluation of Information Access Technologies  
In the document ranking subtask, we deploy the newly proposed 0-1 MSKP model for diversified document ranking against unclear topics.  ...  In the subtopic mining subtask, to discover the latent hierarchy among query-like strings, our key idea is to structurally parse query-like strings by characterizing pairwise dependency in the bag-of-units  ...  Jamie Callan and Jill Lentz for help with the ClueWeb12-B13 dataset access. Great thanks to the reviewers for helping us improve this study.  ... 
dblp:conf/ntcir/YuR14 fatcat:3b7d6juhljagjoybcmkpomwqia

Qualifier Mining for NTCIR-INTENT

Haitao Yu, Fuji Ren, Song Liu
2011 NTCIR Conference on Evaluation of Information Access Technologies  
We introduced the concept of qualifier graph for subtopic mining. To solve the sparseness problem, the search snippets returned by web search engines are used.  ...  Through analysis of query log, we observed that queries describing similar information needs will use a similar group of qualifiers, which may also frequently occur together within queries.  ...  Unfortunately, many queries are ambiguous and/or underspecified.  ... 
dblp:conf/ntcir/YuRL11 fatcat:2qqg36w2xjcm7aelduqcgd5vqi
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