Papers with word generation
A Distributional and Orthographic Aggregation Model for English Derivational Morphology (P18-1)
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| Challenge: | Existing approaches to derived word generation model derivational morphology to generate words with particular semantics are not effective. |
| Approach: | They propose a novel aggregation model that learns derivational transformations as orthographic functions and as functions in distributional word embedding space. |
| Outcome: | The proposed model learns to choose between the hypothesis of each system and the hypothesis from the model. |
Finite State Machine Pattern-Root Arabic Morphological Generator, Analyzer and Diacritizer (2020.lrec-1)
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| Challenge: | Using a finite-state morphologizer, we generate and analyze undiacritized Modern Standard Arabic (MSA) words. |
| Approach: | They propose to use a finite-state Arabic Morphologizer to generate and analyze undiacritized Arabic words and diacritize them. |
| Outcome: | The proposed model generates and analyzes undiacritized Modern Standard Arabic (MSA) words and diacritizes them. |
Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models (2024.lrec-main)
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| Challenge: | Existing methods for autoregressive text generation have low controllability and accumulating errors. |
| Approach: | They propose a three-stage prompt-based approach to express autoregressive text in a specific region editing task using a word frequency-based strategy. |
| Outcome: | Experiments on publicly competitive datasets confirm that the proposed approach achieves state-of-the-art performance. |