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Computational intelligence - a logical approach
TLDR
This chapter discusses representation and Reasoning systems, Robotic Systems, and the Uses of Agent models as well as some more Implemented Systems.
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Theorist: A Logical Reasoning System for Defaults and Diagnosis
We provide an introduction to Theorist, a logic programming system that uses a uniform deductive reasoning mechanism to construct explanations of observations in terms of facts and hypotheses.…
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Local Community Identification in Social Networks
TLDR
A new measure of local community structure is proposed, coupled with a two-phase algorithm that extracts all possible candidates first, and then optimizes the community hierarchy, and results verify the feasibility and effectiveness of this approach.
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Detecting Communities in Social Networks Using Max-Min Modularity
TLDR
A new community mining measure, Max-Min Modularity, which considers both connected pairs and criteria defined by domain experts in finding communities, and then specifies a hierarchical clustering algorithm to detect communities in networks shows improvement over previous algorithms.
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Open Information Extraction with Tree Kernels
TLDR
An unsupervised rule-based approach which can serve as a strong baseline for Open IE systems and multiple SVM models with dependency tree kernels for both explicit relation extraction and confirm explicit relation words for two entities are proposed.
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Discriminative Learning of Selectional Preference from Unlabeled Text
TLDR
The model outperforms other recent approaches, achieving excellent correlation with human plausibility judgments, and identifies 66% more verb-object pairs in unseen text, and resolves 37% more pronouns correctly in a pronoun resolution experiment.
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A Summary of the COLIEE 2019 Competition
TLDR
The evaluation of the 6th Competition on Legal Information Extraction/Entailment (COLIEE 2019) consists of four tasks: two on case law and two on statute law, which attempts to confirm whether a particular statute applies to a yes/no question.
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Web-Scale N-gram Models for Lexical Disambiguation
TLDR
This work presents a unified view of using web counts for lexical disambiguation with supervised and unsupervised systems that combine information from multiple and overlapping segments of context.
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Distributional Identification of Non-Referential Pronouns
TLDR
An automatic approach to determining whether a pronoun in text refers to a preceding noun phrase or is instead nonreferential, which achieves the highest performance yet attained on this important task.
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Extracellular Proteomes of Arabidopsis Thaliana and Brassica Napus Roots: Analysis and Comparison by MudPIT and LC-MS/MS
TLDR
This study is a first step to identify low abundance extracytosolic proteins from Arabidopsis thaliana and Brassica napus roots using recent advances in the field of proteomics.
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