Template Kernels for Dependency Parsing
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ARCComputational EfficiencyDependency ParsingRerankingSentenceTransition-Based Dependency ParsingSimilar Papers 제목 키워드 기반
Dependency Parsing with the Structuralized Prompt Template
Dependency parsing is a fundamental task in natural language processing (NLP), aiming to identify syntactic dependencies and construct a syntactic tree for a given sentence. Traditional dependency parsing models typicall…
Dependency ParsingSentenceJoint POS Tagging and Dependency Parsing with Transition-based Neural Networks
While part-of-speech (POS) tagging and dependency parsing are observed to be closely related, existing work on joint modeling with manually crafted feature templates suffers from the feature sparsity and incompleteness p…
Dependency ParsingPart-Of-Speech TaggingPOSPOS TaggingA Joint Model for Graph-based Chinese Dependency Parsing
In Chinese dependency parsing, the joint model of word segmentation, POS tagging and dependency parsing has become the mainstream framework because it can eliminate error propagation and share knowledge, where the transi…
Chinese Dependency ParsingChinese Word SegmentationDependency ParsingPOS+3Speeding 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 PoS tags of bigrams and trigrams that demonstrate low variability in thei…
POSA Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures
Syntactic and semantic parsing has been investigated for decades, which is one primary topic in the natural language processing community. This article aims for a brief survey on this topic. The parsing community include…
Dependency ParsingSemantic Parsing