nlp:semantic_parsing
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Table of Contents
Semantic Parsing
Overviews
Semantic Role Labeling
- Gildea & Jurafsky 2000 - Automatic Labeling of Semantic Roles Introduced broad-coverage semantic role labeling (SRL)
- Gildea & Jurafsky 2002 - Automatic Labeling of Semantic Roles Longer journal article
- PropBank
- Strubell et al 2018 - Linguistically-Informed Self-Attention for Semantic Role Labeling (EMNLP 2018 Best Paper)
Implicit Roles
Implicit roles (also called implicit arguments or multi-sentence arguments) are roles across sentences.
Supervised Parsing
Logical-Form Small-Scale Datasets
- Zelle & Mooney 1996 - Learning to Parse Database Queries Using Inductive Logic Programming Seminal paper that introduced the Geoquery dataset
CCGBank
Indirect Supervision
Papers
Learning from Feedback
- Iyar et al 2017 - Learning a Neural Semantic Parser from User Feedback Basic idea: parse to an executable representation, excecute it (try it on some examples), have humans look at the output and provide feedback (in few different ways)
Prompting and Language Models
Domain Adaptation
- Pasupat et al 2021 - Controllable Semantic Parsing via Retrieval Augmentation Retrieves similar exemplars, from training data, and uses essentially GPT-style few-shot learning method to produce the parse with a seq2seq model
Data Augmentation
Datasets
- Geoquery, ATIS
- PropBank
- FrameNet
- CCGbank
Tutorials and Slides
People
Related Pages
nlp/semantic_parsing.1698970960.txt.gz · Last modified: 2023/11/03 00:22 by jmflanig