연구동향 분석

언어 능력과 자연어 처리: 자연인가 경험인가?

위혜경 2019년

논문상세정보
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' 언어 능력과 자연어 처리: 자연인가 경험인가?' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Montague grammar
  • connectionism
  • deep learning
  • empiricism
  • experience-based approach
  • generative grammar
  • nativism
  • rule-based approach
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' 언어 능력과 자연어 처리: 자연인가 경험인가?' 의 참고문헌

  • https://www.youtube.com/watch?v=sY4YyacSsLc
  • http://study.zum.com/book/11779
  • Why only us: Language and evolution
  • Why not Pivot Grammar?
    Bloom, L. [1971]
  • What can Linguistics and Deep Learning Contribute to each other? Response to Pater
    Linzen Tal [2019]
  • Truth and Other Enigmas
    Dummett, M. [1978]
  • The perceptron: a probabilistic model for information storage and organization in the brain
  • The Philosophy of Logic
  • The Perceptron: A Perceiving and Recognizing Automaton (Project PARA)
  • The Minimalist Program
  • The Emergence of Meaning
    Crain, S [2012]
  • Targeted Syntactic Evaluation of Language Models
  • Syntactic Structures
  • Revisiting the Poverty of the Stimulus: Hierarchical Generalization without a Hierarchical Bias in Recurrent Neural Networks
  • Recursive distributed representations
  • Recurrent Neural Network Grammars
    Dyer, Chris [2016]
  • Radical Construction Grammar: Syntactic Theory in Typological Perspective
    Croft, W. [2001]
  • Quantitative Methods for Comparing Featural Representations
  • Quantificational Features in Distributional Word Representations
    Linzen, Tal [2016]
  • Problems of Knowledge and Freedom
  • Probabilistic Top-Down Parsing and Language Modeling
    Brian Roark [2001]
  • Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
  • Predictive Power of Word Surprisal for Reading Times is a Linear Function of Language Model Quality
  • Perceptrons: An introduction to computational geometry
  • On learning the past tenses of English verbs. Parallel distributed processing: Explorations in the microstructures of cognition, vol. 2
  • No integration without structured representations: Response to Pater
    Brent I. [2019]
  • Lectures on government and binding
  • Learning weakly supervised multimodal phoneme embeddings
  • Learnability and the Statistical Structure of Language: Poverty of Stimulus Arguments Revisited
  • Inferentialism and Some of its Challenges
    Brandom, R. [2007]
  • Generative grammar, neural networks, and the implementational mapping problem: Response to Pater
    Dunbar Ewan [2019]
  • Generative Linguistics and Neural Networks at 60: Foundation, Friction, and Fusion
    Pater, Joe [2019]
  • Foundations of Cognitive Grammar
  • Formal Philosophy : Selected Papers of Richard Montague
  • Empirical Assessment of the Stimulus Poverty Argument
    Pullum, G [2002]
  • Efficient estimation of word representations in vector space
  • Distributed Representations, Simple Recurrent Networks, and Grammatical Structure
  • Constructions: A construction Grammar Approach to Argument Structure
  • Analogy-based Detection of Morphological and Semantic Relations with Word Embeddings: What Works and What doesn’t
  • A Model of Language Processing as Hierarchic Wequential Prediction