Exploring the 24 Areas of Natural Language Processing Research
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Complete guide to natural language processing - a deep dive into every subject and subtopic of NLP research. In this video, I present all 24 tracks in major NLP conferences (ACL, EMNLP, NAACL, etc) in one highlight video.
0:00 - Intro and Ranking Methodology
0:53 - Phonology, Morphology, and Word Segmentation
1:48 - Linguistic Theories, Cognitive Modeling & Psycholinguistics
2:31 - Discourse and Pragmatics
3:10 - Ethics and NLP
3:51 - Semantics: Lexical
4:38 - Syntax: Tagging, Chunking, and Parsing
5:36 - Speech and Multimodality
6:39 - Semantics: Sentence-level Semantics
7:38 - Multilingualism and Cross-Lingual NLP
8:33 - Information Retrieval and Text Mining
9:14 - Sentiment Analysis, Stylistic Analysis, Argument Mining
10:15 - Computational Social Science and Cultural Analytics
11:01 - Summarization
12:00 - Language Grounding to Vision, Robotics, and Beyond
13:06 - Generation
14:32 - Interpretability and Analysis of Models for NLP
15:43 - Question Answering
17:15 - Machine Translation
19:53 - Resources and Evaluation
21:57 - Large Language Models
24:12 - Dialogue and Interactive Systems
25:55 - Information Extraction
27:21 - Machine Learning for NLP
28:34 - NLP Applications
Try Voice Writer – speak your thoughts and let AI handle the grammar: https://voicewriter.io
Complete guide to natural language processing – a deep dive into every subject and subtopic of NLP research. In this video, I present all 24 tracks in major NLP conferences (ACL, EMNLP, NAACL, etc) in one highlight video.
0:00 – Intro and Ranking Methodology
0:53 – Phonology, Morphology, and Word Segmentation
1:48 – Linguistic Theories, Cognitive Modeling & Psycholinguistics
2:31 – Discourse and Pragmatics
3:10 – Ethics and NLP
3:51 – Semantics: Lexical
4:38 – Syntax: Tagging, Chunking, and Parsing
5:36 – Speech and Multimodality
6:39 – Semantics: Sentence-level Semantics
7:38 – Multilingualism and Cross-Lingual NLP
8:33 – Information Retrieval and Text Mining
9:14 – Sentiment Analysis, Stylistic Analysis, Argument Mining
10:15 – Computational Social Science and Cultural Analytics
11:01 – Summarization
12:00 – Language Grounding to Vision, Robotics, and Beyond
13:06 – Generation
14:32 – Interpretability and Analysis of Models for NLP
15:43 – Question Answering
17:15 – Machine Translation
19:53 – Resources and Evaluation
21:57 – Large Language Models
24:12 – Dialogue and Interactive Systems
25:55 – Information Extraction
27:21 – Machine Learning for NLP
28:34 – NLP Applications
