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Combining Logic and Aggregation for Answer Selection
[chapter]
Lecture Notes in Computer Science
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MAVE (Multinet-based Answer Verification) is a system for answer validation which combines logic-based techniques and aggregation for identifying the correct answers in given sets of answer candidates. ...
The paper explains the basic concepts underlying MAVE and also presents ablation studies which reveal the contribution of the proposed methods to the achieved quality of selection. ...
It is not obvious how the logic-oriented techniques for answer validation and the redundancy-based techniques for selection must be combined in order to maximize selection quality. ...
doi:10.1007/978-3-540-85760-0_47
fatcat:ndymmwxrcbcephdx6yzpmknlli
RAVE: A Fast Logic-Based Answer Validator
[chapter]
2009
Lecture Notes in Computer Science
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In this way parsing of the answers is avoided, yielding low validation/selection times. Machine learning is used for assigning local validation scores based on logical and shallow features. ...
RAVE (Real-time Answer Validation Engine) is a logic-based answer validator/selector designed for real-time question answering. ...
The aggregated support for k ∈ K q is then given by γ(k) = 1 − t∈T k µ(k, t) and for extracted answers by γ(a) = γ(κ(a)). ...
doi:10.1007/978-3-642-04447-2_56
fatcat:dxtftjy37zg2rkiuorg24dlglu
TAPAS: Weakly Supervised Table Parsing via Pre-training
[article]
2020
arXiv
pre-print
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TAPAS trains from weak supervision, and predicts the denotation by selecting table cells and optionally applying a corresponding aggregation operator to such selection. ...
In this paper, we present TAPAS, an approach to question answering over tables without generating logical forms. ...
Given G c and the table values For cell selection examples, for which s is not populated, we train the model to select the cells in C. For scalar answer examples,
table cells. ...
arXiv:2004.02349v2
fatcat:tbcfct2wgvcdvdeaqfu6iuiuoy
A Knowledge-based Approach for Answering Complex Questions in Persian
[article]
2021
arXiv
pre-print
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Then Multilingual-BERT is used to select the logical form that best describes the input complex question syntactically and semantically. ...
In this work, we handle multi-constraint and multi-hop questions by building their set of possible corresponding logical forms. ...
Information required for each constraint is extracted from Farsbase (Sajadi et al., 2018) and is combined to create a set of possible logical forms. ...
arXiv:2107.02040v1
fatcat:qt7dhnxetrdw7dfcbvm3r7povu
Efficient Question Answering with Question Decomposition and Multiple Answer Streams
[chapter]
2009
Lecture Notes in Computer Science
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IRSAW was introduced in 2007, by integrating the deep answer producer InSicht, several shallow answer producers, and a logical validator. ...
The answer validator introduced in the previous year was replaced with the faster RAVE validator designed for logic-based answer validation under time constraints. ...
Then a 'deep' answer score based on the combination of deep and shallow features is computed and the result is aggregated if it exceeds the quality threshold. ...
doi:10.1007/978-3-642-04447-2_49
fatcat:6grdchnn7va4vl5k7zoo2ncsly
Effective trust management through a hybrid logical and relational approach
2010
Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security - ASIACCS '10
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We describe a correct and complete procedure for compiling CTM credentials into dynamic views within a database, and show how the resulting system can be used to perform role membership checks or to enumerate ...
We then propose a hybrid algorithm that leverages the logical ruleset and the underlying DBMS to efficiently enumerate the capabilities ascribed to a given user. ...
The research described in this paper was supported by the National Science Foundation under awards CCF-0916015 and CCF-0914946. ...
doi:10.1145/1755688.1755710
dblp:conf/ccs/LeeYG10
fatcat:2aek5ng5drhwhk4e5pwjfb55te
Combining Logic and Machine Learning for Answering Questions
[chapter]
2009
Lecture Notes in Computer Science
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Its main innovation is the use of logic for simultaneously extracting answer bindings and validating the corresponding answers. ...
LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen. ...
Aggregation and Answer Selection The answer integration module computes a global score for each answer, based on the local score for each passage from which the answer was extracted [3] . ...
doi:10.1007/978-3-642-04447-2_47
fatcat:2huinbl3cbairivvjmg53pfity
Question Generation from SQL Queries Improves Neural Semantic Parsing
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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In addition, we observe that there is a logarithmic relationship between the accuracy of a semantic parser and the amount of training data. ...
Thanks to the anonymous reviewers for their helpful comments and suggestions. ...
Seq2SQL which extends Aug.PntNet by further learning two separate classifiers for SELECT aggregator and SELECT column. ...
doi:10.18653/v1/d18-1188
dblp:conf/emnlp/GuoSTDYCCCZ18
fatcat:i3kwgeokkvccdooqvg3hdkky6q
Question Generation from SQL Queries Improves Neural Semantic Parsing
[article]
2018
arXiv
pre-print
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In addition, we observe that there is a logarithmic relationship between the accuracy of a semantic parser and the amount of training data. ...
Thanks to the anonymous reviewers for their helpful comments and suggestions. ...
Seq2SQL which extends Aug.PntNet by further learning two separate classifiers for SELECT aggregator and SELECT column. ...
arXiv:1808.06304v2
fatcat:4jgswmw2pvfqbakowhxrdkedgq
Mathematical Tutorial System (MTS) Using Fuzzy Logic and Multi-Agent System
2017
International Journal of Innovative Research in Engineering & Management
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We use the combined approach of Fuzzy logic and Multiagent System (MAS). ...
It also guides and monitors student progress. Our aim is to design an instructional planner for an intelligent tutoring system. ...
So the Instructional Planner for an MTS must dynamically adapt to each students to teach the number and addition concepts. So we used the combined approach of fuzzy logic and multiagent systems. ...
doi:10.21276/ijirem.2017.4.2.1
fatcat:pcftswoa55dahinnjoozcmenxq
Enhancing Algebraic Query Relaxation with Semantic Similarity
[article]
2012
arXiv
pre-print
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Cooperative database systems support a database user by searching for answers that are closely related to his query and hence are informative answers. ...
Moreover we propose some heuristics to assign a degree of similarity to each tuple of an answer table; this degree can help the user to determine whether this answer is relevant for him or not. ...
An aggregation function can be used to condense the values in the answer table into one and then compare the values for the two answer tables. ...
arXiv:1210.6242v1
fatcat:pkgoonfow5cbvprzjqfyelfkwa
Universal approximation with uninorm-based fuzzy neural networks
2011
2011 Annual Meeting of the North American Fuzzy Information Processing Society
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We will describe the network topology and inference mechanism and show that the universal approximation property of this network is valid for a given choice of operators. ...
In this paper we will show that the recently proposed fuzzy neural network based on weighted uninorms aggregations uniformly approximates any real functions on any compact set. ...
Our answer: formulation. ...
doi:10.1109/nafips.2011.5752000
fatcat:co3rlqwq2nbg3hpryoav76fznq
Toward Agile BI By Using In-Memory Analytics
2014
Informatică economică
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And, which is the best data model that can be used for enabling an agile BI solution? ...
Also, the paper focuses on the main data models used by in-memory BI technologies and tries to answer following questions: Which are the main characteristics of an agile data model? ...
But, we can make every data selection (any combination of year and region). For example, Figure 7b shows top 2 sellers for each city in 2012, only for Transilvania region and Muntenia region. ...
doi:10.12948/issn14531305/18.3.2014.03
fatcat:v7k5kwmedndojmqr32t4qdgarm
Thresholded Tabulation in a Fuzzy Logic Setting
2009
Electronical Notes in Theoretical Computer Science
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In this paper we propose an improved fuzzy query answering procedure for the so called multi-adjoint logic programming approach, which avoids the re-evaluation of goals and the generation of useless computations ...
Fuzzy logic programming represents a flexible and powerful declarative paradigm amalgamating fuzzy logic and logic programming, for which there exists different promising approaches described in the literature ...
values of L and conjunctions, disjunctions and aggregations. ...
doi:10.1016/j.entcs.2009.07.063
fatcat:tep6tbgsizbfplwpwfq2ujmyoq
Adaptive signature-based semantic selection of services with OWLS-MX3
2012
Multiagent and Grid Systems
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It learns how to best combine logic-based, text similarity and ontological structure matching for hybrid semantic selection of OWL-S services to given queries. ...
The matchmaker adapts its selection to changes in the semantic service landscape and ontologies by learning the respectively optimal weighted combination of different types of semantic similarities it ...
The work reported in this paper has been supported by the German ministry for education and research (BMB+F) under project grant 01IW08005 (ISReal); this paper is an invited and updated version of [13 ...
doi:10.3233/mgs-2012-0184
fatcat:xfuiij7axfhi7bf5tsi3nooglm
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