Workshop 2 COMP90051 Natural Language Processing Semester 1, 2020 COMP90051 Natural Language Processing (S1 2020) Workshop 2 Jun Wang About me • Jun Wang • I was a tutor of last semester SML • I’m tutoring SML and NLP this semester • jun5@unimelb.edu.au COMP90051 Natural Language Processing (S1 2020) Workshop 2 Jun Wang Materials • […]
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Neural Machine Translation¶ In this workshop, we are going to build a seq2seq machine translation model and train it on a parallel corpus of English and French. We will frame the translation problem in a slightly different way. Instead of translating the sentence word by word, we are going to work on character-level. This means,
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Summarisation COMP90042 Natural Language Processing Lecture 21 COPYRIGHT 2020, THE UNIVERSITY OF MELBOURNE 1 COMP90042 L21 • • Distill the most important information from a text to produce shortened or abridged version Summarisation Applications ‣ outlines of a document ‣ abstracts of a scientific article ‣ headlines of a news article ‣ snippets of search
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Train BPE on a toy text example bpe algorithm: https://web.stanford.edu/~jurafsky/slp3/2.pdf (2.4.3) In [3]: import re, collections text = “The aims for this subject is for students to develop an understanding of the main algorithms used in natural language processing, for use in a diverse range of applications including text classification, machine translation, and question answering. Topics
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CSI2120 Programming Paradigms Jochen Lang jlang@uottawa.ca Faculté de génie | Faculty of Engineering Jochen Lang, EECS jlang@uOttawa.ca Functional Programming in Scheme • Equivalency predicates • Lists • List operations • Tail Recursions Jochen Lang, EECS jlang@uOttawa.ca Simple Predicate Functions • The predicate symbol ? indicates a boolean function returning #t or #f. • (symbol? x)
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12/08/2020 Code (Week 4 Wednesday) Code (Week 4 Wednesday) Editor Renement Example import Test.QuickCheck — Abstract Specification / Model data Abstract = A { text :: String, cursor :: Int } deriving (Show, Eq) einitA :: String -> Abstract einitA s = A s (length s) stringOfA :: Abstract -> String stringOfA (A s c)
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NEW SOUTH WALES Algorithms COMP3121/9101 School of Computer Science and Engineering University of New South Wales 4. FAST LARGE INTEGER MULTIPLICATION – part A COMP3121/9101 1 / 35 Basics revisited: how do we multiply two numbers? The primary school algorithm: X X X X
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Artificial Intelligence Review What is an Agent? An entity □ situated: operates in a dynamically changing environment □ reactive: responds to changes in a timely manner □ autonomous:cancontrolitsownbehaviour □ proactive:exhibitsgoal-orientedbehaviour □ communicating: coordinate with other agents?? Examples: humans, dogs, …, insects, sea creatures, …, thermostats? Where do current robots sit on the scale? Lectures Environment
Learning Theory COMP9417 Machine Learning and Data Mining Term 2, 2020 COMP9417 ML & DM Learning Theory Term 2, 2020 1 / 78 Acknowledgements Material derived from slides for the book “Elements of Statistical Learning (2nd Ed.)” by T. Hastie, R. Tibshirani & J. Friedman. Springer (2009) http://statweb.stanford.edu/~tibs/ElemStatLearn/ Material derived from slides for the book
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Algorithms COMP3121/9101 Aleks Ignjatovi ́c, ignjat@cse.unsw.edu.au office: 504 (CSE building); phone: 5-6659 Course Admin: Anahita Namvar School of Computer Science and Engineering University of New South Wales Sydney 1. INTRODUCTION COMP3121/3821/9101/9801 1 / 21 Introduction What is this course about? It is about designing algorithms for solving practical problems. What is an algorithm? An algorithm
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