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Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)最新文献

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Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language Picard - understanding Darmok:构建语言中丰富隐喻翻译的数据集和模型
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 2021-07-16 DOI: 10.18653/v1/2022.flp-1.5
Peter Jansen, Jordan L. Boyd-Graber
{"title":"Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language","authors":"Peter Jansen, Jordan L. Boyd-Graber","doi":"10.18653/v1/2022.flp-1.5","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.5","url":null,"abstract":"Tamarian, a fictional language introduced in the Star Trek episode Darmok, communicates meaning through utterances of metaphorical references, such as “Darmok and Jalad at Tanagra” instead of “We should work together.” This work assembles a Tamarian-English dictionary of utterances from the original episode and several follow-on novels, and uses this to construct a parallel corpus of 456 English-Tamarian utterances. A machine translation system based on a large language model (T5) is trained using this parallel corpus, and is shown to produce an accuracy of 76% when translating from English to Tamarian on known utterances.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115877751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Prompt Based Approach for Euphemism Detection 基于提示的委婉语检测方法
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.2
Abulimiti Maimaitituoheti, Yang Yong, Xiaochao Fan
{"title":"A Prompt Based Approach for Euphemism Detection","authors":"Abulimiti Maimaitituoheti, Yang Yong, Xiaochao Fan","doi":"10.18653/v1/2022.flp-1.2","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.2","url":null,"abstract":"Euphemism is an indirect way to express sensitive topics. People can comfortably communicate with each other about sensitive topics or taboos by using euphemisms. The Euphemism Detection Shared Task in the Third Workshop on Figurative Language Processing co-located with EMNLP 2022 provided a euphemism detection dataset that was divided into the train set and the test set. We made euphemism detection experiments by prompt tuning pre-trained language models on the dataset. We used RoBERTa as the pre-trained language model and created suitable templates and verbalizers for the euphemism detection task. Our approach achieved the third-best score in the euphemism detection shared task. This paper describes our model participating in the task.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124364391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adversarial Perturbations Augmented Language Models for Euphemism Identification 对抗性扰动增强语言模型在委婉语识别中的应用
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.22
Guneet Singh Kohli, Prabsimran Kaur, Jatin Bedi
{"title":"Adversarial Perturbations Augmented Language Models for Euphemism Identification","authors":"Guneet Singh Kohli, Prabsimran Kaur, Jatin Bedi","doi":"10.18653/v1/2022.flp-1.22","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.22","url":null,"abstract":"Euphemisms are mild words or expressions used instead of harsh or direct words while talking to someone to avoid discussing something unpleasant, embarrassing, or offensive. However, they are often ambiguous, thus making it a challenging task. The Third Workshop on Figurative Language Processing, colocated with EMNLP 2022 organized a shared task on Euphemism Detection to better understand euphemisms. We have used the adversarial augmentation technique to construct new data. This augmented data was then trained using two language models: BERT and longformer. To further enhance the overall performance, various combinations of the results obtained using longformer and BERT were passed through a voting ensembler. We achieved an F1 score of 71.5 using the combination of two adversarial longformers, two adversarial BERT, and one non-adversarial BERT.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131431433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An insulin pump? Identifying figurative links in the construction of the drug lexicon 胰岛素泵?确定药物词典结构中的比喻联系
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.16
Antonio Reyes, Rafael Saldívar
{"title":"An insulin pump? Identifying figurative links in the construction of the drug lexicon","authors":"Antonio Reyes, Rafael Saldívar","doi":"10.18653/v1/2022.flp-1.16","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.16","url":null,"abstract":"One of the remarkable characteristics of the drug lexicon is its elusive nature. In order to communicate information related to drugs or drug trafficking, the community uses several terms that are mostly unknown to regular people, or even to the authorities. For instance, the terms jolly green, joystick, or jive are used to refer to marijuana. The selection of such terms is not necessarily a random or senseless process, but a communicative strategy in which figurative language plays a relevant role. In this study, we describe an ongoing research to identify drug-related terms by applying machine learning techniques. To this end, a data set regarding drug trafficking in Spanish was built. This data set was used to train a word embedding model to identify terms used by the community to creatively refer to drugs and related matters. The initial findings show an interesting repository of terms created to consciously veil drug-related contents by using figurative language devices, such as metaphor or metonymy. These findings can provide preliminary evidence to be applied by law agencies in order to address actions against crime, drug transactions on the internet, illicit activities, or human trafficking.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123946872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SBU Figures It Out: Models Explain Figurative Language SBU发现:模型解释比喻语言
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.20
Yash Kumar Lal, Mohaddeseh Bastan
{"title":"SBU Figures It Out: Models Explain Figurative Language","authors":"Yash Kumar Lal, Mohaddeseh Bastan","doi":"10.18653/v1/2022.flp-1.20","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.20","url":null,"abstract":"Figurative language is ubiquitous in human communication. However, current NLP models are unable to demonstrate a significant understanding of instances of this phenomena. The EMNLP 2022 shared task on figurative language understanding posed the problem of predicting and explaining the relation between a premise and a hypothesis containing an instance of the use of figurative language. We experiment with different variations of using T5-large for this task and build a model that significantly outperforms the task baseline. Treating it as a new task for T5 and simply finetuning on the data achieves the best score on the defined evaluation. Furthermore, we find that hypothesis-only models are able to achieve most of the performance.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128189910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Euphemism Detection by Transformers and Relational Graph Attention Network 变换与关系图注意网络的委婉语检测
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.11
Yuting Wang, Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo
{"title":"Euphemism Detection by Transformers and Relational Graph Attention Network","authors":"Yuting Wang, Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo","doi":"10.18653/v1/2022.flp-1.11","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.11","url":null,"abstract":"Euphemism is a type of figurative language broadly adopted in social media and daily conversations. People use euphemism for politeness or to conceal what they are discussing. Euphemism detection is a challenging task because of its obscure and figurative nature. Even humans may not agree on if a word expresses euphemism. In this paper, we propose to employ bidirectional encoder representations transformers (BERT), and relational graph attention network in order to model the semantic and syntactic relations between the target words and the input sentence. The best performing method of ours reaches a Macro-F1 score of 84.0 on the euphemism detection dataset of the third workshop on figurative language processing shared task 2022.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134531047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor 基于分布的创造性语言惊喜度量:幽默和隐喻的实验
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.10
Razvan C. Bunescu, Oseremen O. Uduehi
{"title":"Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor","authors":"Razvan C. Bunescu, Oseremen O. Uduehi","doi":"10.18653/v1/2022.flp-1.10","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.10","url":null,"abstract":"Novelty or surprise is a fundamental attribute of creative output. As such, we postulate that a writer’s creative use of language leads to word choices and, more importantly, corresponding semantic structures that are unexpected for the reader. In this paper we investigate measures of surprise that rely solely on word distributions computed by language models and show empirically that creative language such as humor and metaphor is strongly correlated with surprise. Surprisingly at first, information content is observed to be at least as good a predictor of creative language as any of the surprise measures investigated. However, the best prediction performance is obtained when information and surprise measures are combined, showing that surprise measures capture an aspect of creative language that goes beyond information content.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129073710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors 唤起支持:意象图式概念隐喻的系统分析
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.7
Lennart Wachowiak, Dagmar Gromann, Chao Xu
{"title":"Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors","authors":"Lennart Wachowiak, Dagmar Gromann, Chao Xu","doi":"10.18653/v1/2022.flp-1.7","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.7","url":null,"abstract":"Conceptual metaphors represent a cognitive mechanism to transfer knowledge structures from one onto another domain. Image-schematic conceptual metaphors (ISCMs) specialize on transferring sensorimotor experiences to abstract domains. Natural language is believed to provide evidence of such metaphors. However, approaches to verify this hypothesis largely rely on top-down methods, gathering examples by way of introspection, or on manual corpus analyses. In order to contribute towards a method that is systematic and can be replicated, we propose to bring together existing processing steps in a pipeline to detect ISCMs, exemplified for the image schema SUPPORT in the COVID-19 domain. This pipeline consist of neural metaphor detection, dependency parsing to uncover construction patterns, clustering, and BERT-based frame annotation of dependent constructions to analyse ISCMs.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Report on the FigLang 2022 Shared Task on Understanding Figurative Language 关于FigLang 2022理解比喻语言共同任务的报告
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.26
Arkadiy Saakyan, Tuhin Chakrabarty, Debanjan Ghosh, S. Muresan
{"title":"A Report on the FigLang 2022 Shared Task on Understanding Figurative Language","authors":"Arkadiy Saakyan, Tuhin Chakrabarty, Debanjan Ghosh, S. Muresan","doi":"10.18653/v1/2022.flp-1.26","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.26","url":null,"abstract":"We present the results of the Shared Task on Understanding Figurative Language that we conducted as a part of the 3rd Workshop on Figurative Language Processing (FigLang 2022) at EMNLP 2022. The shared task is based on the FLUTE dataset (Chakrabarty et al., 2022), which consists of NLI pairs containing figurative language along with free text explanations for each NLI instance. The task challenged participants to build models that are able to not only predict the right label for a figurative NLI instance, but also generate a convincing free-text explanation. The participants were able to significantly improve upon provided baselines in both automatic and human evaluation settings. We further summarize the submitted systems and discuss the evaluation results.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125692332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? 在可理解性的尖端:语言模型能区分隐喻和无意义吗?
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.flp-1.25
Bernadeta Griciūtė, Marc Tanti, L. Donatelli
{"title":"On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense?","authors":"Bernadeta Griciūtė, Marc Tanti, L. Donatelli","doi":"10.18653/v1/2022.flp-1.25","DOIUrl":"https://doi.org/10.18653/v1/2022.flp-1.25","url":null,"abstract":"Utterly creative texts can sometimes be difficult to understand, balancing on the edge of comprehensibility. However, good language skills and common sense allow advanced language users both to interpret creative texts and to reject some linguistic input as nonsense. The goal of this paper is to evaluate whether the current language models are also able to make the distinction between a creative language use and nonsense. To test this, we have computed mean rank and pseudo-log-likelihood score (PLL) of metaphorical and nonsensical sentences, and fine-tuned several pretrained models (BERT, RoBERTa) for binary classification between the two categories. There was a significant difference in the mean ranks and PPL scores of the categories, and the classifier reached around 85.5% accuracy. The results raise further questions on what could have let to such satisfactory performance.","PeriodicalId":332745,"journal":{"name":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126124254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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