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Deep Learning Technique for Human Parsing: A Survey and Outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly...
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Online log parsing using evolving research tree
Logs are a reliable source of information for development and maintenance purposes. They record information at runtime regarding the state of a...
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Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical...
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Top-down Text-Level Discourse Rhetorical Structure Parsing with Bidirectional Representation Learning
Early studies on discourse rhetorical structure parsing mainly adopt bottom-up approaches, limiting the parsing process to local information....
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Towards smarter hiring: resume parsing and ranking with YOLOv5 and DistilBERT
In the contemporary landscape of recruitment, the Applicant Tracking System (ATS) plays a pivotal role in automating the screening and shortlisting...
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Syntax and Parsing
As another major component of Natural Language Understanding (NLU), this chapter explores syntax analysis and introduces different types of...
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Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach
The automatic and precise perceptual parsing of Chinese landscape paintings (CLP) significantly aids in the digitization and recreation of artworks....
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Cognition: Accurate and Consistent Linear Log Parsing Using Template Correction
Logs contain runtime information for both systems and users. As many of them use natural language, a typical log-based analysis needs to parse logs...
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Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-Wise Pseudo Labeling
The Audio-Visual Video Parsing task aims to identify and temporally localize the events that occur in either or both the audio and visual streams of...
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Tunnel Parsing
This article describes an effective algorithm for parsing and building of concrete syntax trees for languages defined by context-free grammars...
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Integrating graph embedding and neural models for improving transition-based dependency parsing
This paper introduces an effective method for improving dependency parsing which is based on a graph embedding model. The model helps extract local...
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GCAENet: global-class context with advanced edge network for single human parsing
In this paper, we propose an effective single human parsing framework, called global-class context with advanced edge network (GCAENet), which...
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Crowded pose-guided multi-task learning for instance-level human parsing
Instance-level human parsing remains challenging due to the similarity between human instances and background, complex interactions, and various...
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Exploration and comparison of diverse approaches for integrating syntactic knowledge into AMR parsing
Abstract Meaning Representation (AMR) parsing aims to translate sentences to semantic AMR graphs and has recently been empowered by pre-trained...
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ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing
Most molecular diagram parsers recover chemical structure from raster images (e.g., PNGs). However, many PDFs include commands giving explicit...
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Hand-drawn cadastral map parsing, stitching and assembly via jigsaw puzzles
We present a robust method for parsing the content of hand-drawn cadastral maps in order to obtain high-resolution, digitized assemblies of larger...
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A survey of discourse parsing
Discourse parsing is an important research area in natural language processing (NLP), which aims to parse the discourse structure of coherent...
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Seq2EG: a novel and effective event graph parsing approach for event extraction
Event extraction is a fundamental task in information extraction. Most previous approaches typically transform event extraction into two subtasks:...
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Element-Arrangement Context Network for Facade Parsing
Facade parsing aims to decompose a building facade image into semantic regions of the facade objects. Considering each architectural element on a...
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Person re-identification based on human semantic parsing and message passing
As an effective method to assist intelligent management of public areas, person re-identification (re-ID) technology has been developed rapidly in...
