• Corpus ID: 211572789

Metaphoric Paraphrase Generation

@article{Stowe2020MetaphoricPG,
  title={Metaphoric Paraphrase Generation},
  author={Kevin Stowe and Leonardo Ribeiro and Iryna Gurevych},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.12854}
}
This work describes the task of metaphoric paraphrase generation, in which we are given a literal sentence and are charged with generating a metaphoric paraphrase. We propose two different models for this task: a lexical replacement baseline and a novel sequence to sequence model, 'metaphor masking', that generates free metaphoric paraphrases. We use crowdsourcing to evaluate our results, as well as developing an automatic metric for evaluating metaphoric paraphrases. We show that while the… 
Exploring Metaphoric Paraphrase Generation
Metaphor generation is a difficult task, and has seen tremendous improvement with the advent of deep pretrained models. We focus here on the specific task of metaphoric paraphrase generation, in
Metaphor Generation with Conceptual Mappings
TLDR
This paper develops two methods to generate a metaphoric sentence given a literal expression by replacing relevant verbs using FrameNetbased embeddings and deriving source/target pairs to train a controlled seq-to-seq generation model (CM-BART), and shows that the unsupervised CMLex model is competitive with recent deep learning metaphor generation systems.
Generating Similes E̶F̶F̶O̶R̶T̶L̶E̶S̶S̶L̶Y̶ 𝘭𝘪𝘬𝘦 𝘢 𝘗𝘳𝘰: A Style Transfer Approach for Simile Generation
TLDR
This paper proposes a method to automatically construct a parallel corpus by transforming a large number of similes collected from Reddit to their literal counterpart using structured common sense knowledge, and proposes to fine-tune a pretrained sequence to sequence model, BART, on the literal-simile pairs to gain generalizability.
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
TLDR
This paper proposes a method to automatically construct a parallel corpus by transforming a large number of similes collected from Reddit to their literal counterpart using structured common sense knowledge and fine-tune a pretrained sequence to sequence model, BART, on the literal-simile pairs to gain generalizability.
PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing
Idiomatic expressions (IE) play an important role in natural language, and have long been a “pain in the neck” for NLP systems. Despite this, text generation tasks related to IEs remain largely
MOVER: Mask, Over-generate and Rank for Hyperbole Generation
TLDR
This paper constructs HYPO-XL, the first large-scale hyperbole corpus containing 17,862 hyperbolic sentences in a non-trivial way and proposes an unsupervised method for hyperbole generation with no need for parallel literal-hyperbole pairs.
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
TLDR
This paper proposes a method to automatically construct a parallel corpus by transforming a large number of metaphorical sentences from the Gutenberg Poetry corpus to their literal counterpart using recent advances in masked language modeling coupled with commonsense inference.

References

SHOWING 1-10 OF 36 REFERENCES
Automatic Metaphor Interpretation as a Paraphrasing Task
TLDR
A novel approach to metaphor interpretation and a system that produces literal paraphrases for metaphorical expressions that is directly transferable to other applications that can benefit from a metaphor processing component.
Unsupervised Metaphor Paraphrasing using a Vector Space Model
TLDR
The first fully unsupervised approach to metaphor interpretation, and a system that produces literal paraphrases for metaphorical expressions, which is directly transferable to other NLP applications that can benefit from a metaphor processing component.
How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation
TLDR
A neural approach to metaphor generation is proposed and the shared inferential structure of a metaphorical usage and a literal usage of a verb is explored to create novel metaphors.
Word Embedding and WordNet Based Metaphor Identification and Interpretation
TLDR
An unsupervised learning method that identifies and interprets metaphors at word-level without any preprocessing, outperforming strong baselines in the metaphor identification task and extends to interpret the identified metaphors, paraphrasing them into their literal counterparts, so they can be better translated by machines.
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
TLDR
This paper introduces a crowdsourced novel metaphor annotation layer for an existing metaphor corpus, analyzes the corpus and investigates correlations between novelty and features that are typically used in metaphor detection, such as concreteness ratings and more semantic features like the Potential for Metaphoricity.
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks
TLDR
A new annotated corpus for metaphor interpretation by paraphrase, and a novel DNN model for performing this task, which reaches an encouraging 75% accuracy on the binary classification task, and high Pearson and Spearman correlations on the gradient judgment prediction task.
Evaluation Metrics for Automatically Generated Metaphorical Expressions
TLDR
It is argued that high-ranked expressions in the overall evaluation are considered to be “good metaphors” by showing that they actually are metaphors and are preferred by a human judge.
Generating Conceptual Metaphors from Proposition Stores
TLDR
This paper presents an automated method for generating conceptual metaphors from linguistic data and finds corresponding linguistic metaphors in corpora using English and Russian data.
A Computational System of Metaphor Generation with Evaluation Mechanism
This study regards metaphor generation as a process where an expression consisting of a target (A) is modified by certain features to become a metaphorical expression of the form "target (A) like
MetaNet: Deep semantic automatic metaphor analysis
TLDR
A system that makes use of a repository of formalized frames and metaphors to automatically detect, categorize, and analyze expressions of metaphor in corpora is described.
...
1
2
3
4
...