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Date : 2014/06/10 Author :Shahab Kamali Frank Wm. Tompa Source : SIGIR’13 Advisor : Jia-ling Koh Speaker : Shao-Chun Peng Retrieving Documents With Mathematical Content

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Outline 2 Introduction mathematical expressions Related Work Purpose Methods Experiments Conclusions

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Introduction 3 Mathematical expressions(context-dependent rules) Content-based Presentation-based Dom Tree

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Introduction 4

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Related Work(Exact match) 5

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Related Work(Approximate match) 6 SubexprExactMatch at least one of its subexpressions exactly matches the query some structure information is missed by transforming an expression into bags of tokens NormalizedSubExactMatch one of its normalized subexpressions matches the normalized query performance remains relatively poor

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Related Work(Approximate match) 7 MIaS subtrees are normalized and transformed into tokens and a text search engine is used to index and retrieve them

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Purpose 8 Mathematical Expression its appearance(or presentation) its mathematical meaning (often termed its content) how to capture the relevance of mathematical expressions, how to query them, and how to evaluate the results

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Outline 9 Introduction Methods SIMILARITY SEARCH PATTERN SEARCH Experiments Conclusions

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SIMILARITY SEARCH 10 Translate translated input into Presentation MathML Similarity based on tree edit distance

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Tree Edit 11 T1 = (V1;E1) T2 = (V2;E2) τ is a sequence of edit operations that transforms T1 to T2 dist(T1; T2) = min {cost( τ )| τ (T1) = T2} E1 and E2 represented by trees T1 and T2.

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Tree Edit(cost) 12 If λ (N1) = λ (N2) then cost(N1 → N2) = 0 If N1, N2 are leaf nodes and λ (N1) ≠ λ (N2) and λ (parent(N1)) = λ (parent(N2)), cost(N1 → N2) =C PL ( λ (parent(N1)); λ (N1); λ (N2)) mi i ji Cost= α N1 N2

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Tree Edit(cost) 13 If N1, N2 are leaf nodes and λ (N1) ≠ λ (N2) and λ (parent(N1)) ≠ λ (parent(N2)) then cost(N1 → N2) =C L ( λ (N1) ; λ (N2) ) If N1, N2 are not both leaf nodes and λ (N1) ≠ λ (N2) then cost(N1 → N2) = C I ( λ (N1); λ (N2)) mi x mn 3 mi x Cost=2 β N1 N2

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cost 14 α<=β<=γ X+2 and X+1 are different with cost α X+2 and X+Y are different with cost β X+2 and X+E are different with cost γ(E is a expression)

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Tree Edit(cost) 15 Cost= α+β

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PATTERN SEARCH 16 Translate: wild card Ranker sort results with respect to the sizes of the matched expressions in increasing order.

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PATTERN SEARCH 17 a template can be defined using wildcards as non- terminals,and regular expressions to describe their relationships Number wild cards,Variable wild cards, Operator wild cards

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wild cards(example) 18

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Feedback 19

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Outline 20 Introduction Method Experiments Conclusion

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Experiment-Dataset 21 DLMF : Digital Library of Mathematics Functions

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Evaluation measures 22 Consider top 10 result NFR MRR

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Results 23

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Outline 24 Introduction Methods Experiments Conclusions

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25 categorize existing approaches to match mathematical expressions, concentrating on two paradigms that consider the structure of expressions propose a representative system for each search paradigm

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