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In this paper we address QA with respect to the OpenBookQA dataset and combine state of the art language models with abductive information retrieval (IR), information gain based re-ranking, passage selection ... and weighted scoring to achieve 72.0% accuracy, an 11.6% improvement over the current state of the art. ... Approach Our approach involves six main modules: Hypothesis Generation, OpenBook Knowledge Extraction, Abductive Information Retrieval, Information Gain based Re-ranking, Passage Selection and Question ...doi:10.18653/v1/p19-1615 dblp:conf/acl/BanerjeePMB19 fatcat:knzbjyynrjhvrgp7ggwfltqcee
Transactions of the Japanese society for artificial intelligence
Automatic Indexing Based on Term Activity
Automatic Indexing Based on Term Activity
With the increasing number of electronic documents, automatic indexing from a document is an essential approach in information retrieval systems, such as search engines. ... Our approach employs a spreading activation model to extract keywords based on the activity of terms without using corpus, thesaurus, syntactic analysis, dependency relations between terms, and the other ... Summary With the increasing number of electronic documents, automatic indexing from a document is an essential approach in information retrieval systems, such as search engines. ...doi:10.1527/tjsai.17.398 fatcat:ezrvtvuuarb6zlrpkp64m7owka
The TACITUS project has developed an approach to abductive inference, weighted abduction, that has resulted in a significant simplification of how the problem of interpreting texts is conceptualized. ... Interpreta- tion as abduction can be combined with “parsing as deduction” to pro- duce an elegant & thorough integration of syntax, semantics, & pragmatics, spanning the range of linguistic phenomena from ...
But in the end, this is a book that needed to be written. We need more books of this kind that attempt to show how to be more effective critical thinkers in a given area of professional practice. ... In sum, this reviewer says thumbs-up to this book. It is a first attempt, and a rme one. ... Chapter five has two themes-visual abduction and temporal abduction. Magnani takes an image to be a kind of "internal representation used by humans to retrieve information from memory" (p. 97). ...doi:10.22329/il.v23i3.2178 fatcat:r2lnbaxudzdercdesl6yi5lg74
The goal in machine learning is to extract useful information from a body of data by building good probabilistic models-and to automate the process as much as possible. ... Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas in which there is a lot of data but little theory, as in molecular biology. ... Jacquemin provides an account of the method and implementation of this innovative retrieval technique for text processing. ...doi:10.1016/s0004-3702(02)00188-1 fatcat:xwd5jexdg5gnrmugs4ufuqayva
In logic-based approaches to reasoning tasks such as Recognizing Textual Entailment (RTE), it is important for a system to have a large amount of knowledge data. ... However, there is a tradeoff between adding more knowledge data for improved RTE performance and maintaining an efficient RTE system, as such a big database is problematic in terms of the memory usage ... We are also grateful to Bevan Johns for proofreading examples in LexSICK dataset and Hitoshi Manabe for his public codebase from which we learned many about the KBC techniques. ...doi:10.1609/aaai.v33i01.33017410 fatcat:3aic4w6zpffe5h65bjiadqvq2q
In logic-based approaches to reasoning tasks such as Recognizing Textual Entailment (RTE), it is important for a system to have a large amount of knowledge data. ... However, there is a tradeoff between adding more knowledge data for improved RTE performance and maintaining an efficient RTE system, as such a big database is problematic in terms of the memory usage ... We are also grateful to Bevan Johns for proofreading examples in LexSICK dataset and Hitoshi Manabe for his public codebase from which we learned many about the KBC techniques. ...arXiv:1811.06203v1 fatcat:kacd6r7cangtfelnvkowt5g5ai
Secondly, and aiming to raise the level of interlocution between the areas, we intend to argue that subject indexing is an inferential process, as explained by the second branch of semiotics. ... We believe that the main difficulty in the proposals to understand the process of subject indexing based on Peircean semiotics stems from an incomplete interpretation of his semiotic system. ... The arguments are the linguistic expression that demonstrates the reasons that led us to conclude. For Salmon (1969, 22) , an argument is a linguistic entity and is not an inference. ...doi:10.5771/0943-7444-2013-4-225 fatcat:dls6xmpw5ncmdhbl6ahooxaz2q
and Several Retrieval Languages Crist-Jan Doedens (Utrecht University) Editions Rodopi (Language and Computers: Studies in Practical Linguistics, edited by Jan Aarts and Willem Meijs, volume 14), 1994 ... Authors and publishers who wish their pub- lications to be considered for review in Com- putational Linguistics should send a copy to the book review editor, Graeme Hirst, De- partment of Computer Science ...
The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive ... Vázquez-Salceda would like to acknowledge support from European funded CONTRACT Project (IST-034418). J. Sousa Lopes work has been funded by FCT-Portugal, scholarship SFRH/BD/38767/2007. J. ... We use tags related to pictures because they represent a description based on a perceived linguistic interpretation, meaning that this metadata associated with each image is already itself an abductive ...doi:10.1109/wi-iat.2009.220 dblp:conf/iat/LopesAV09 fatcat:r2ajwiuyajesxizqgthubguewi
ILP based approaches provide a way to encode explicit and controllable assumptions casting natural language inference as an abductive reasoning problem, where the solver constructs a plausible explanation ... In contrast, state-of-the-art transformer-based models can learn from data and implicitly encode complex constraints. However, these models are intrinsically black boxes. ... linguistic and semantic information to downstream tasks. ...arXiv:2105.03417v1 fatcat:dxj3htriafarta36kddfj3dzva
Following a summary of previous approaches to creativity, the authors present a theoretical model of the creative pro- cess. ... knowledge © biological variation in modes of abduction © spatial learning: two ways to get there from here © the relation between abduction and spatial mechanisms 16310. ...
In this article, we present an ontology evolution approach in the context of multimedia interpretation. ... Ontology evolution is generally defined as the timely adaptation of an ontology to changing requirements and the consistent propagation of changes to dependent artifacts. ... The abductive retrieval service discards inconsistent explanations. ...doi:10.1093/logcom/exn049 fatcat:ltj45v3tlzer7hqexgysrcfa2q
Lecture Notes in Computer Science
In this paper we present a multi-agent approach to question answering for the Portuguese language. ... This approach allows the use of different strategies and the reduction of errors introduced by individual methods. ... for concept Y, while the algorithm B constructs an accurate model for concept Y and a weak model for concept X. ...doi:10.1007/11751984_14 fatcat:vqyy2thbsjgszfqnbjplpd3wvu
Chater A PDP approach to processing center-embedded sentences - J. Weckerly and J. Elman Forced simple recurrent neural networks and grammatical in- ference - A. Maskara and A. ... Wharton A model of the role of expertise in analog retrieval - L. Branting The story with reminding: Memory retrieval is influenced by analogical similarity - C. Wharton, K. Holyoak, P. Downing, T. ...
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