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Inform. Association for Computational Linguistics, Beijing, pp 829–833, Cao Z, Chen C, Li W, Li S, Wei F, Zhou M (2016) Tgsum: build tweet guided multi-document summarization dataset. Our first study [O\222Hara ) Tj 165 0 TD /F2 9.75 Tf 0.2813 Tc 1.7813 Tw (et al) Tj 20.25 0 TD /F0 9.75 Tf 0.2506 Tc 1.0618 Tw ( 1998] ) Tj -185.25 -11.25 TD 0.1694 Tc 0.7681 Tw (highlighted the ne) Tj 75 0 TD 0.0675 Tc 1.12 Tw (ed for efficient ways of capturing ) Tj -75 -12 TD 0.1162 Tc 2.8838 Tw (text while reading. One-way group actions.
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The original paper [116] incorrectly proved a better \((1-1/\sqrt{e})\) bound, as pointed out in a later work from a different research group [134]. Documents needed to be written on more expensive rag paper. Figure ) Tj 78.75 0 TD 0.2252 Tc -0.5627 Tw (1 shows the system in use.)
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Dublin City University and Association for Computational Linguistics, Dublin, pp 1197–1207, Liakata M, Dobnik S, Saha S, Batchelor C, Rebholz-Schuhmann D (2013) A discourse-driven content model for summarising scientific articles evaluated in a complex question answering task. We have therefore undertaken ) Tj 0 -11.25 TD 0.1055 Tc 4.7903 Tw (studies of our own in order to gain a better) Tj 0 Tc -0.1875 Tw ( ) Tj 0 -12 TD 0.1516 Tc 5.5109 Tw (understanding of authors\222 needs for document) Tj 0 Tc 0.5625 Tw ( ) Tj 0 -11.25 TD 0.104 Tc 1.5835 Tw (capture tools.
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0000499820 00000 n 0000409664 00000 n This paper describes the design and evaluation of CamWorks, a system that employs a video camera as a convenient means of capturing from paper sources during reading and writing. 0000453246 00000 n
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The keys to the breakthrough include character detection from complex backgrounds, discrimination of characters from non-characters, modern or ancient unique font recognition, fast retrieval technique from large-scaled scanned documents, multi-lingual OCR, and unconstrained handwriting recognition.
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