Papers Syntax Representation
“Syntax Representation” 태그가 달린 논문 6편 · 필터 해제
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches
Information extraction (IE) plays very important role in natural language processing (NLP) and is fundamental to many NLP applications that used to extract structured information from unstructured text data. Heuristic-ba…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+2SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
This work proposes a syntax-enhanced grammatical error correction (GEC) approach named SynGEC that effectively incorporates dependency syntactic information into the encoder part of GEC models. The key challenge for this…
Grammatical Error CorrectionSyntax RepresentationKERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
Syntactic parsers have dominated natural language understanding for decades. Yet, their syntactic interpretations are losing centrality in downstream tasks due to the success of large-scale textual representation learner…
Representation LearningSentenceSyntax RepresentationText ClassificationSyntax Representation in Word Embeddings and Neural Networks -- A Survey
Neural networks trained on natural language processing tasks capture syntax even though it is not provided as a supervision signal. This indicates that syntactic analysis is essential to the understating of language in a…
Language ModelingLanguage ModellingMachine TranslationSurvey+3Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning
Video captioning is a challenging task that involves not only visual perception but also syntax representation learning. Recent progress in video captioning has been achieved through visual perception, but syntax represe…
POSPOS TaggingRepresentation LearningSentence+3Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
Lack of text data has been the major issue on code-switching language modeling. In this paper, we introduce multi-task learning based language model which shares syntax representation of languages to leverage linguistic …
Language ModelingLanguage ModellingMulti-Task LearningPart-Of-Speech Tagging+1