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fix: MD Backend, fixes to properly handle trailing inline text and emphasis in headers (#178)
* Small fix to properly handle trailing inline text in the md backend Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Added proper handling of headers with bold, italic or emphasis Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * removed print Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Made smarter processing of headers, with arbitrary styling Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Updated docling-core to 2.2.1 Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> * Updated tests because of the change in Markdown export in docling-core Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> --------- Signed-off-by: Maksym Lysak <mly@zurich.ibm.com> Co-authored-by: Maksym Lysak <mly@zurich.ibm.com>
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@@ -153,7 +153,7 @@ Table 2. TSR and cell detection results compared between OTSL and HTML on the Pu
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To illustrate the qualitative differences between OTSL and HTML, Figure 5 demonstrates less overlap and more accurate bounding boxes with OTSL. In Figure 6, OTSL proves to be more effective in handling tables with longer token sequences, resulting in even more precise structure prediction and bounding boxes.
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Fig. 5. The OTSL model produces more accurate bounding boxes with less overlap (E) than the HTML model (D), when predicting the structure of a sparse table (A), at twice the inference speed because of shorter sequence length (B),(C). "PMC2807444_006_00.png" PubTabNet. μ
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Fig. 5. The OTSL model produces more accurate bounding boxes with less overlap (E) than the HTML model (D), when predicting the structure of a sparse table (A), at twice the inference speed because of shorter sequence length (B),(C). "PMC2807444\_006\_00.png" PubTabNet. μ
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@@ -161,7 +161,7 @@ Fig. 5. The OTSL model produces more accurate bounding boxes with less overlap (
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Fig. 6. Visualization of predicted structure and detected bounding boxes on a complex table with many rows. The OTSL model (B) captured repeating pattern of horizontally merged cells from the GT (A), unlike the HTML model (C). The HTML model also didn't complete the HTML sequence correctly and displayed a lot more of drift and overlap of bounding boxes. "PMC5406406_003_01.png" PubTabNet.
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Fig. 6. Visualization of predicted structure and detected bounding boxes on a complex table with many rows. The OTSL model (B) captured repeating pattern of horizontally merged cells from the GT (A), unlike the HTML model (C). The HTML model also didn't complete the HTML sequence correctly and displayed a lot more of drift and overlap of bounding boxes. "PMC5406406\_003\_01.png" PubTabNet.
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