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Using Word Embeddings for Automatic Query Expansion
TLDR
It is found that the word2vec based query expansion methods perform similarly with and without any feedback information, and the proposed method fails to achieve comparable performance with statistical co-occurrence based feedback method such as RM3.
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Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks
TLDR
It is found that except Bengali, the proposed method outperforms Lemming and Morfette on the other languages and no other expensive morphological attribute is required for joint learning.
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ICFHR2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions
TLDR
The competition results suggest that recognition of handwritten formulae remains a difficult structural pattern recognition task.
View on IEEE
CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions
TLDR
The best expression level recognition accuracy shown by the competing systems is 19.83% whereas a baseline system developed by one of the organizing groups reports an accuracy 22.41% on the same data set.
View on IEEE
ICFHR 2014 Competition on Recognition of On-Line Handwritten Mathematical Expressions (CROHME 2014)
TLDR
The outcome of the latest edition of the CROHME competition, dedicated to on-line handwritten mathematical expression recognition, features two new tasks, one dedicated to isolated symbol recognition including a reject option for invalid symbol hypotheses, and the second concerns recognizing expressions that contain matrices.
View on IEEE
Off-Line Multi-Script Writer Identification Using AR Coefficients
TLDR
A method to estimate AR model coefficients is proposed that is applied to an image of text written by a specific writer so that AR coefficients are obtained to characterize the writer.
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A review of methods for automatic understanding of natural language mathematical problems
TLDR
A unified architecture that has been used in most of these approaches is identified and differences among the systems are highlighted and significant achievements of each method are pointed out.
View on Springer
Recognition of online handwritten mathematical expressions
TLDR
This paper aims at automatic understanding of online handwritten mathematical expressions (MEs) written on an electronic tablet using a context-free grammar to convert the input expressions into their corresponding T/sub E/X strings which are subsequently converted into MathML format.
View on IEEE
Segmentation of touching characters in printed Devnagari and Bangla scripts using fuzzy multifactorial analysis
TLDR
New techniques are presented for identification and segmentation of touching characters based on fuzzy multifactorial analysis and a predictive algorithm is developed for effectively selecting cut-points to segment touching characters.
View on IEEE
Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014
TLDR
A novel analysis combining results from competing systems at the level of individual strokes and stroke pairs is provided, which allows us to more closely examine limitations for current state-of-the-art systems.
View on Springer
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