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)
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)
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.1674018887.txt.gz · Last modified: 2023/06/15 07:36 (external edit)