Scalable syntactic inductive biases for neural language models

Scalable syntactic inductive biases for neural language models

<p>Natural language has a sequential surface form, although its underlying structure has been argued to be hierarchical and tree-structured in nature, whereby smaller linguistic units like words are recursively composed to form larger ones, such as phrases and sentences. This thesis aims to an...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor:	Kuncoro, AS
Kolejni autorzy:	Blunsom, P
Format:	Praca dyplomowa
Język:	English
Wydane:	2022
Hasła przedmiotowe:	Deep learning (Machine learning) Natural language processing (Computer science) Syntax Machine learning Linguistics

Podobne zapisy

Incremental generative models for syntactic and semantic natural language processing
od: Buys, J
Wydane: (2017)

Large Language Models are Not Models of Natural Language: They are Corpus Models
od: Csaba Veres
Wydane: (2022-01-01)

Understanding video through the lens of language
od: Bain, M
Wydane: (2023)

Simplicity and learning to distinguish arguments from modifiers
od: Leon Bergen, i wsp.
Wydane: (2022-12-01)

Non-parametric deep learning with applications in active learning
od: Band, N
Wydane: (2022)

Neural networks involved in learning lexical-semantic and syntactic information in a second language
od: Jutta eMueller, i wsp.
Wydane: (2014-10-01)

Applying particle filtering to unsupervised part-of-speech induction
od: Dubbin, G, i wsp.
Wydane: (2014)

Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
od: Prashanth Rao, i wsp.
Wydane: (2021-06-01)

Model for automatic detection of lexical-syntactic errors in texts written in Spanish
od: María D. Bustamante-Rodríguez, i wsp.
Wydane: (2018-05-01)

Learning the Morphological and Syntactic Grammars for Named Entity Recognition
od: Mengtao Sun, i wsp.
Wydane: (2022-01-01)

Syntax Vector Learning Using Correspondence for Natural Language Understanding
od: Hyein Seo, i wsp.
Wydane: (2021-01-01)

Semantic, syntactic and joint deep learning of event extraction
od: Hao, Anran
Wydane: (2025)

Large Language Models in Oncology: Revolution or Cause for Concern?
od: Aydin Caglayan, i wsp.
Wydane: (2024-03-01)

Language models for ontology engineering
od: He, Y
Wydane: (2024)

Multitasking deep neural network models for Arabic dialect sentiment analysis
od: Alali, Muath Mohammad Oqlah
Wydane: (2022)

On the Effectiveness of Pre-Trained Language Models for Legal Natural Language Processing: An Empirical Study
od: Dezhao Song, i wsp.
Wydane: (2022-01-01)

Computer vision and natural language processing for people with vision impairment
od: Massiceti, D
Wydane: (2019)

Language and Reasoning by Entropy Fractals
od: Daniela López De Luise
Wydane: (2021-11-01)

Swahili Language Manager
od: Arvi Hurskainen
Wydane: (2004-09-01)

Protein language representation learning to predict SARS-CoV-2 mutational landscape
od: Batra, H
Wydane: (2022)

Spatial reasoning and planning for deep embodied agents
od: Ishida, S
Wydane: (2024)

Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning
od: Zeinab Shahbazi, i wsp.
Wydane: (2022-01-01)

Dis-Cover AI Minds to Preserve Human Knowledge
od: Leonardo Ranaldi, i wsp.
Wydane: (2021-12-01)

Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages
od: Atabay Ziyaden, i wsp.
Wydane: (2024-03-01)

Evaluating Text Generation Model Performance by Combining Semantic Meaning and Word Order
od: Erik Novak, i wsp.
Wydane: (2024-01-01)

Enhancing writing analytics in science education research with machine learning and natural language processing—Formative assessment of science and non-science preservice teachers’ written reflections
od: Peter Wulff, i wsp.
Wydane: (2023-01-01)

Editorial: Exploring human subjectivity
od: Esteban Laso Ortiz, i wsp.
Wydane: (2023-02-01)

Computational Methods for Information Processing from Natural Language Complaint Processes—A Systematic Review
od: J. C. Blandón Andrade, i wsp.
Wydane: (2025-01-01)

BiDAF model in sentiment analysis task
od: Luong Thi Minh Hue
Wydane: (2023-06-01)

Scalable continual deep learning with computational cost considerations
od: Prabhu, AP
Wydane: (2025)

A theory of syntactic recognition for natural language.
od: Marcus, Mitchell Philip
Wydane: (2005)

Word prediction in computational historical linguistics
od: Peter Dekker, i wsp.
Wydane: (2021-02-01)

String diagrams for text
od: Wang-Maścianica, V
Wydane: (2023)

Arabic Rumor Detection Using Contextual Deep Bidirectional Language Modeling
od: Naelah O. Bahurmuz, i wsp.
Wydane: (2022-01-01)

Enhancing contextual understanding in NLP: adapting state-of-the-art models for improved sentiment analysis of informal language
od: Sneha Ravisankar
Wydane: (2024)

Computational Linguistics Based Emotion Detection and Classification Model on Social Networking Data
od: Heyam H. Al-Baity, i wsp.
Wydane: (2022-09-01)

Sign language understanding using multimodal learning
od: Momeni, L
Wydane: (2024)

Hate speech detection in the Bengali language: a comprehensive survey
od: Abdullah Al Maruf, i wsp.
Wydane: (2024-07-01)

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models
od: Yuanzhao Zhang, i wsp.
Wydane: (2020-12-01)

Phish Responder: A Hybrid Machine Learning Approach to Detect Phishing and Spam Emails
od: Molly Dewis, i wsp.
Wydane: (2022-07-01)