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Parsing and encoding interactive phrase structure for implicit discourse relation recognition
Implicit discourse relation recognition (IDRR) is to detect and classify relation sense between two text segments without an explicit connective....
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One-Stage Wireframe Parsing in Fish-Eye Images
This paper presents a simple yet efficient algorithm for detecting wireframes in a fish-eye image. Given a fish-eye image, our objective is to...
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Multi-scale Structural Asymmetric Convolution for Wireframe Parsing
Extracting salient line segments with their corresponding junctions is a promising method for structural environment recognition. However,...
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Improving AMR parsing by exploiting the dependency parsing as an auxiliary task
Abstract meaning representations (AMRs) represent sentence semantics as rooted labeled directed acyclic graphs. Though there is a strong correlation...
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Speeding up Natural Language Parsing by Reusing Partial Results
This paper proposes a novel technique that applies case-based reasoning in order to generate templates for reusable parse tree fragments, based on...
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CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs
Enterprise knowledge graphs are gaining increasing popularity in industrial applications, with a pressing demand for natural language interfaces to...
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Digital document analytics using logistic regressive and deep transition-based dependency parsing
The selection of text features is a fundamental task and plays an important role in digital document analysis. Conventional methods in text feature...
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Building datasets to support information extraction and structure parsing from electronic theses and dissertations
Despite the millions of electronic theses and dissertations (ETDs) publicly available online, digital library services for ETDs have not evolved past...
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Parsing Unranked Tree Languages, Folded Once
A regular unranked tree folding consists of a regular unranked tree language and a folding operation that merges, i.e., folds, selected nodes of a...
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A Novel Optimized Context-Based Deep Architecture for Scene Parsing
Determining the optimal parameter values for a scene parsing network architecture is an important task as a network with optimal parameters produces...
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SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation
The advent of non-autoregressive machine translation (NAT) accelerates the decoding superior to autoregressive machine translation (AT)...
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Sentential Semantic Dependency Parsing for Vietnamese
Semantic dependency parse is the dependency graph of a sentence. This graph shows the grammatical dependencies between words in a sentence clearer...
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Efficient and Accurate Document Parsing and Verification Based on OCR Engine
This paper is dedicated to efficiently and accurately extracting, parsing, and verifying various types of materials such as business licenses and...
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GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task
In this study, we proposed an efficient method to improve the performance of the hierarchical semantic parsing task by strengthening the meaning...
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QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries. Despite various methods have exploited...
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Multimodal End-to-End Visual Document Parsing
The record meterials used in some industries including medical service and insurance, whose information has high commercial and scientific research...
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Verified ALL(*) Parsing with Semantic Actions and Dynamic Input Validation
Formally verified parsers are powerful tools for preventing the kinds of errors that result from ad hoc parsing and validation of program input....
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Matching Intentions for Discourse Parsing in Multi-party Dialogues
Discourse parsing in multi-party dialogues is a fundamental task in dialogue systems, which involves identifying relations between elementary...
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Boundary-Aware Network for Kidney Parsing
Kidney structures segmentation is a crucial yet challenging task in the computer-aided diagnosis of surgery-based renal cancer. Although numerous...
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Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
Recent works on form understanding mostly employ multimodal transformers or large-scale pre-trained language models. These models need ample data for...