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Ambiguity of Queries and the Challenges for Query Language Detection

Juliane Stiller, Maria Gäde, Vivien Petras
2010 Conference and Labs of the Evaluation Forum  
Problems and challenges for query category and language identification are discussed.  ...  In this paper, a sample set of 510 simple searches from the TEL action log 2009 is analyzed for query content and query language.  ...  Of special interest was the identification of query characteristics from the corpus. We examine the ambiguity of query terms and the resulting challenges in determining the query language.  ... 
dblp:conf/clef/StillerGP10 fatcat:ljzdw6rxirhnbndrw7p2vcvn2q

Ambiguity of Queries and the Challenges for Query Language Detection

Juliane Stiller, Maria Gäde, Vivien Petras, Humboldt-Universität Zu Berlin, Humboldt-Universität Zu Berlin
2019
Problems and challenges for query category and language identification are discussed.  ...  In this paper, a sample set of 510 simple searches from the TEL action log 2009 is analyzed for query content and query language.  ...  Of special interest was the identification of query characteristics from the corpus. We examine the ambiguity of query terms and the resulting challenges in determining the query language.  ... 
doi:10.18452/19965 fatcat:oaqx6ejwargtfmmsuftwkjizaa

SEMANTIC AMBIGUOUS QUERY FORMULATION USING STATISTICAL LINGUISTICS TECHNIQUE

Rabiah A.Kadir, Rufai Aliyu Yauri, Azreen Azman
2018 Malaysian Journal of Computer Science  
The present research proposes a statistical linguistic technique for solving the problem of ambiguity automatically.  ...  The proposed technique is experimentally tested on a Quran ontology with queries from the Islamic Research Foundation Website and increases the result of precision and recall by 6% and 10%, respectively  ...  INTRODUCTION The exponential growth of the number of documents on the web has posed the challenge of determining the relevance of information that can be retrieved from ambiguous query.  ... 
doi:10.22452/mjcs.sp2018no1.4 fatcat:nkdndpjetvh4xbf4tzglue37ru

NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries [article]

Arpit Narechania, Arjun Srinivasan, John Stasko
2020 arXiv   pre-print
In response, the toolkit returns an analytic specification modeled as a JSON object containing data attributes, analytic tasks, and a list of Vega-Lite specifications relevant to the input query.  ...  However, developing visualization NLIs remains a challenging task, requiring low-level implementation of natural language processing (NLP) techniques as well as knowledge of visual analytic tasks and visualization  ...  Key Challenges: Semantic and syntactic matching. Detecting ambiguous and implicit attribute references. 5.  ... 
arXiv:2008.10723v2 fatcat:3p7e7ah2jzfmxdgswk63rjdfym

Facilitating Conversational Interaction in Natural Language Interfaces for Visualization [article]

Rishab Mitra and Arpit Narechania and Alex Endert and John Stasko
2022 arXiv   pre-print
Developing NLIs with such conversational interaction capabilities remains a challenging task, requiring implementations of low-level NLP techniques to process a new query as an intent to follow-up on an  ...  answer questions and resolve ambiguities.  ...  We thank Arjun Srinivasan and the Georgia Tech Lab.  ... 
arXiv:2207.00189v3 fatcat:75oxf4p55nev3izrebbopriltu

Multi-Query Optimization in RDF Q/A System

Jie Jiao, Shujun Wang, Xiaowang Zhang, Zhiyong Feng
2019 International Semantic Web Conference  
Moreover, we apply mutual information in reducing ambiguity of queries of a question to improve the quality of common subqueries.  ...  Finally, to improve the accuracy of SPARQL query generated, we evaluate the semantic importance of each word in a question via TF-IDF during the generating queries process.  ...  A great deal of research has been done to address these two challenges. For example, Zou et al [2] proposed two frameworks to build the semantic query graph.  ... 
dblp:conf/semweb/JiaoWZF19 fatcat:cjipvnuqkrd4np2oyr4jaw5a3u

The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration

Doris Jung Lin Lee, Aditya G. Parameswaran
2018 IEEE Data Engineering Bulletin  
Visualization is one of the most effective and widely-used techniques for understanding data.  ...  Together, addressing these challenges underlying VIDA can help pave the way for a comprehensive solution for removing the pain points in visual data exploration.  ...  These interfaces detect ambiguous quantifiers in the input query (e.g.  ... 
dblp:journals/debu/LeeP18 fatcat:7ci232wbe5f7pcmwqercrw4vcu

Topic Level Disambiguation for Weak Queries

Hui Zhang, Kiduk Yang, Elin Jacob
2013 Journal of Information Science Theory and Practice  
Motivated by the demand for a robust IR system that can consistently provide highly accurate results, the proposed study implemented a novel topic detection that leveraged both the language model and structural  ...  Therefore, one of the main challenges in modern IR research is to provide consistent results across all queries by improving the performance on weak queries.  ...  METHODOLOGIES Topic Detection with Language Model The first challenge for topic-based query disambiguation is to develop an approach to recognize top-ics, such as phrases and named entities, from user  ... 
doi:10.1633/jistap.2013.1.3.3 fatcat:yu77pl66jndx3ifyu57spzj7wy

A Probabilistic Translation Method for Dictionary-based Cross-lingual Information Retrieval in Agglutinative Languages [article]

Javid Dadashkarimi and Azadeh Shakery and Heshaam Faili
2014 arXiv   pre-print
Translation ambiguity, out of vocabulary words and missing some translations in bilingual dictionaries make dictionary-based Cross-language Information Retrieval (CLIR) a challenging task.  ...  This paper aims to introduce a probabilistic translation model to solve the ambiguity problem, and also to provide most likely formations of a dictionary candidate.  ...  Dictionaries provide a list of translations for each query term. According to [7] , ambiguity in translation and swamping effect 2 are the most important challenges of dictionary-based methods.  ... 
arXiv:1411.1006v2 fatcat:fmmid5fnsvarjfl2xrti5iz3ee

Interactive sense feedback for difficult queries

Alexander Kotov, ChengXiang Zhai
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
Ambiguity of query terms is a common cause of inaccurate retrieval results.  ...  This feedback strategy does not rely on initial retrieval results, and thus can be especially useful for improving the results of difficult queries.  ...  RELATED WORK Methods to improve the quality of retrieval results by reducing the negative impact of lexical ambiguity have been studied for many years and this research direction proved to be very challenging  ... 
doi:10.1145/2063576.2063605 dblp:conf/cikm/KotovZ11 fatcat:uhqitg7os5e6dhrvkwe7ia6jem

Ontology-Based Natural Language Query Interfaces for Data Exploration

Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan
2018 IEEE Data Engineering Bulletin  
A part of the difficulty lies in taking clues from the natural language for detecting different cases of possible nesting.  ...  Although OQL grammar supports multiple levels of nesting, detecting an NLQ which is to be translated to a nested OQL query and subsequently producing correct OQLs for it remains an open challenge.  ... 
dblp:journals/debu/LeiOQMSSS18 fatcat:66g5cfpznnau5kgw3ah4abgtpi

What is in the KGQA Benchmark Datasets? Survey on Challenges in Datasets for Question Answering on Knowledge Graphs

Nadine Steinmetz, Kai-Uwe Sattler
2021 Journal on Data Semantics  
This paper presents a detailed look into the datasets and compares them in terms of challenges a KGQA system is facing.  ...  For the purpose to give an overview and reveal specific characteristics, we examined currently available KGQA datasets regarding several challenging aspects.  ...  -query-the SPARQL query -answers-the result of the query provided as result bindings The datasets for challenges 1-5 have been provided in XML format and for challenges 6-9 in JSON format.  ... 
doi:10.1007/s13740-021-00128-9 fatcat:xt2yjvpbejdtxlsetf6y7xev5i

4.-8. März 2019

Nadine Steinmetz, Ann-Katrin Arning, Kai-Uwe Sattler
2019 Datenbanksysteme für Business, Technologie und Web  
This paper presents the proposed approach and an evaluation in comparison to state-of-the-art Linked Data approaches for challenges of QA systems.  ...  The algorithm is based on general question and query patterns and only accesses the knowledge base for the actual query generation and execution.  ...  From Natural Language Questions to SPARQL Queries: A Pattern-based Approach 307 20 Nadine Steinmetz, Ann-Katrin Arning, Kai-Uwe Sattler  ... 
doi:10.18420/btw2019-18 dblp:conf/btw/SteinmetzAS19 fatcat:kyny3lmpsjbvrgqndv3vryvz34

Constructing an interactive natural language interface for relational databases

Fei Li, H. V. Jagadish
2014 Proceedings of the VLDB Endowment  
In this paper, we describe the architecture of an interactive natural language query interface for relational databases.  ...  By these means, a logically complex English language sentence is correctly translated into a SQL query, which may include aggregation, nesting, and various types of joins, among other things, and can be  ...  INTRODUCTION Querying data in relational databases is often challenging. SQL is the standard query language for relational databases.  ... 
doi:10.14778/2735461.2735468 fatcat:lwyyndg4cnb6zhkli7xhf6gbwq

Web Search Query Privacy, an End-User Perspective

Kato Mivule
2017 Journal of Information Security  
A number of web search query privacy procedures involve the cooperation of the search engine, a nontrusted entity in such cases, making query obfuscation even more challenging.  ...  resources for query disambiguation.  ...  Acknowledgements We would like to acknowledge the Department of Computer Science at Norfolk State University for making this work possible.  ... 
doi:10.4236/jis.2017.81005 fatcat:q6v5vkqrzrggnnrlrxbcadgemq
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