Doing Research in Natural Language Processing

No	Week	Date	Lecturer	Subject	Reading	Coursework
1	1	Wed 20 Sep	Keller, Tang	Course Overview
2	1	Fri 22 Sep	Keller	Scientific Writing: Audience	Alley (2018), ch. 1 Craft of Scientific Writing resource site
3	2	Wed 27 Sep	Keller	Scientific Writing: Precision and Clarity	Alley (2018), ch. 2
4	2	Fri 29 Sep	Keller	Scientific Writing: Structure	Alley (2018), ch. 7
5	3	Wed 4 Oct	Keller, Tang	Reading group 1: Emily and Ariadna	Smith et al. (2022). “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset
6	3	Fri 6 Oct	Keller, Tang	Reading group 2: Alice and Yi	Metzger et al. (2023). A high-performance neuroprosthesis for speech decoding and avatar control
7	4	Wed 11 Oct	Tom Sherborne	Computing Tutorial 1
8	4	Fri 13 Oct	Tom Sherborne	Computing Tutorial 2
9	5	Wed 18 Oct	Sydelle De Souza	Running Online Studies
10	5	Fri 20 Oct	Tang	Replication 1
11	6	Wed 25 Oct	Keller	Replication 2: short group presentations
12	6	Fri 27 Oct	--	--	session cancelled
13	7	Wed 1 Nov	Keller	Scientific Writing: Abstracts	Alley (2018), pp139-143, Zobel (2014), p57
14	7	Fri 3 Nov	Keller	Scientific Writing: Graphs, Diagrams, Tables	Zobel (2014), ch. 11
15	8	Wed 8 Nov	Keller	Scientific Writing: Proposals	Alley (2018), ch. 9, pp174-198
16	8	Fri 10 Nov	Keller, Tang	Reading group 4: Iona, Nicolas, and Sivan	Li et al. (2023). Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement
17	9	Wed 15 Nov	Keller, Tang	Replication Results 1: Yi/Yu and Alice/Emily/Ariadna		13/11/23 replication study due
18	9	Fri 17 Nov	Keller, Tang	Replication Results 2: Iona/Sivan
19	10	Wed 22 Nov	Keller, Tang	Replication Results 3: Chaeeun/Max and Artemis/Nicolas
20	10	Fri 24 Nov	Keller, Tang	Individual Project

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NLP-DR: Resource List

flittlet — Tue, 18 Jul 2023 14:56:27 +0000

NLP-DR: Resource List flittlet Tue, 18/07/2023 - 15:56

Alley, Michael. 2018. The Craft of Scientific Writing. Springer, New York, NY. 4th edition. Resource web site accompanying the book: check out the videos and tutorials.

Zobel, Justin. 2014. Writing for Computer Science. Springer, New York, NY. 3rd edition.

Doing Research in Natural Language Processing Resource List

You can access the reading list for this course by selecting the link above. In order to view some resources on the list, you must be logged in with your EASE account.

For more information on getting the most out of your courses Resource List, have a look at this video.

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NLP-DR: Course Materials

flittlet — Tue, 18 Jul 2023 14:56:27 +0000

NLP-DR: Course Materials flittlet Tue, 18/07/2023 - 15:56

Lecture Recordings

All lecture recordings should be accessed via Learn; you will need to log in using your EASE account. (Learn provides you with access to any lecture recordings available for this course. You will need to select the "lecture recording" link once, before you can access any direct links to a lecture recording.)

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NLP-DR: Schedule for Semester 2

flittlet — Tue, 18 Jul 2023 14:56:27 +0000

NLP-DR: Schedule for Semester 2 flittlet Tue, 18/07/2023 - 15:56

No	Week	Date	Lecturer	Subject	Reading	Coursework
1	1	Wed 17 Jan	Keller, Tang	IP Proposal Pitches 1: Iona, Nicholas, Chaeeun, Artemis, Yu
2	1	Fri 19 Jan	Keller, Tang	IP Proposal Pitches 2: Emily, Adriana, Alice, Yi, Sivan, Max
3	2	Wed 24 Jan	Eddie Ungless	Ethical Issues in NLP
4	2	Fri 26 Jan	Bjorn Ross	The Informatics Ethics Process		26/01/24 IP proposal due
5	3	Wed 31 Jan	Tang	How to pick a research topic
6	3	Fri 2 Feb	Tang	Presentation Skills 1
7	4	Wed 7 Feb	Tang	Presentation Skills 2
8	4	Fri 9 Feb	Keller, Tang	Reading Group 5: Chaeeun and Artemis	Cao et al. (2022). Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
9	5	Wed 14 Feb	Keller, Tang	Reading Group 6: Yu and Max	Chan et al. (2022). Data Distributional Properties Drive Emergent In-Context Learning in Transformers
10	5	Fri 16 Feb	Antreas Antoniou	Introduction to EIDF
		Flexible Learning Week	No teaching
11	6	Wed 28 Feb	Ken Scott	Industry Engagement
12	6	Fri 1 Mar	Simon King	Public Engagement	Before the NLP-DR class, please watch the videos below. For each video, please write down some brief answers the following questions, ready for discussion in class: Who is the audience? What is the goal? Is there too much (or too little) information? Is it presented in the right order? What works well? What could be done better? Set 1: "Exploding hydrogen" A) Science Experiments w/ Professor Robert Winston: Watch the first 2 minutes on hydrogen https://youtu.be/xx3RoYg651I B) Supersonic detonation of hydrogen and oxygen gas https://youtu.be/6gkblppESHA C) Hydrogen - Periodic Table of Videos https://youtu.be/6rdmpx39PRk D) Awesome Hydrogen and Oxygen Experiments! https://youtu.be/qN1fUM9vSA4 Set 2: "Elephant Toothpaste" A) Science Experiments w/ Professor Robert Winston: From minute 2 to minute 5 https://youtu.be/xx3RoYg651I B) The Sci Guys: Science at Home - SE2 - EP13: Elephant Toothpaste https://youtu.be/-RRTnIGr6fg C) Elephant Toothpaste Science Experiment: Carolina Classrooms https://youtu.be/HzuvNi-8vos D) Elephant's Toothpaste - Science Experiment https://youtu.be/_6EgZxrGyys	04/03/24 IP progress presentations due
13	7	Wed 6 Mar	Keller, Tang	IP Progress Presentations 1: Yu, Max
14	7	Fri 8 Mar	Keller, Tang	IP Progress Presentations 2: Chaeeun, Artemis, Nicolas
15	8	Wed 13 Mar	Keller, Tang	IP Progress Presentations 3: Sivan, Iona, Alice
16	8	Fri 15 Mar	Keller, Tang	IP Progress Presentations 4: Yi, Emily, Ariadna
17	9	Wed 20 Mar	Keller, Tang	Ask Me Anything
18	9	Fri 22 Mar	Uta Hinrichs	Data Visualization
19	10	Wed 27 Mar	Tang	Peer Review
20	10	Fri 29 Mar	Keller, Tang	IP Report Writing Clinic

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NLP-DR: Doing Research in Natural Language Processing

flittlet — Tue, 18 Jul 2023 14:56:26 +0000

NLP-DR: Doing Research in Natural Language Processing flittlet Tue, 18/07/2023 - 15:56

Timetable

Wed	16:10-17:00	Appleton Tower, Room 2.06
Fri	16:10-17:00	Appleton Tower, Room 2.06

Lecturers

Frank Keller (course organiser)
Hao Tang
TA: Gautier Dagan

Learning Outcomes

On successful completion of this course, you should be able to:

Critically read, assess, and synthesize scientific literature in natural language processing and related fields.
Identify new research questions in natural language processing and propose experimental, mathematical, or engineering methods to answer them.
Communicate research results in natural language processing orally to a scientific audience.
Communicate research results in natural language processing in writing to a scientific audience.

Course Outline

This course introduces critical skills needed to do research in natural language processing: identifying research questions; proposing methods to answer research questions; and communicating results orally and in writing to a scientific audience. The course emphasizes that NLP research draws on computational, mathematical, and linguistic perspectives to research, and exposes students to the key research skills from each of these perspectives.

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