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Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning 基于定义表示学习的临床术语多词习语检测
Workshop on Multiword Expressions Pub Date : 2023-05-11 DOI: 10.48550/arXiv.2305.06801
François Remy, A. Khabibullina, Thomas Demeester
{"title":"Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning","authors":"François Remy, A. Khabibullina, Thomas Demeester","doi":"10.48550/arXiv.2305.06801","DOIUrl":"https://doi.org/10.48550/arXiv.2305.06801","url":null,"abstract":"This paper shines a light on the potential of definition-based semantic models for detecting idiomatic and semi-idiomatic multiword expressions (MWEs) in clinical terminology. Our study focuses on biomedical entities defined in the UMLS ontology and aims to help prioritize the translation efforts of these entities. In particular, we develop an effective tool for scoring the idiomaticity of biomedical MWEs based on the degree of similarity between the semantic representations of those MWEs and a weighted average of the representation of their constituents. We achieve this using a biomedical language model trained to produce similar representations for entity names and their definitions, called BioLORD. The importance of this definition-based approach is highlighted by comparing the BioLORD model to two other state-of-the-art biomedical language models based on Transformer: SapBERT and CODER. Our results show that the BioLORD model has a strong ability to identify idiomatic MWEs, not replicated in other models. Our corpus-free idiomaticity estimation helps ontology translators to focus on more challenging MWEs.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129767749","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
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space 习语、探查和危险的事物:论向量空间中习语的结构探查
Workshop on Multiword Expressions Pub Date : 2023-04-27 DOI: 10.48550/arXiv.2304.14333
Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher
{"title":"Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space","authors":"Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher","doi":"10.48550/arXiv.2304.14333","DOIUrl":"https://doi.org/10.48550/arXiv.2304.14333","url":null,"abstract":"The goal of this paper is to learn more about how idiomatic information is structurally encoded in embeddings, using a structural probing method. We repurpose an existing English verbal multi-word expression (MWE) dataset to suit the probing framework and perform a comparative probing study of static (GloVe) and contextual (BERT) embeddings. Our experiments indicate that both encode some idiomatic information to varying degrees, but yield conflicting evidence as to whether idiomaticity is encoded in the vector norm, leaving this an open question. We also identify some limitations of the used dataset and highlight important directions for future work in improving its suitability for a probing analysis.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123397584","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
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output 从giz++输出的自动双语短语词典构建
Workshop on Multiword Expressions Pub Date : 2022-06-18 DOI: 10.28995/2075-7182-2022-21-1068-1077
A. Khusainova, V. Romanov, Adil Khan
{"title":"Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output","authors":"A. Khusainova, V. Romanov, Adil Khan","doi":"10.28995/2075-7182-2022-21-1068-1077","DOIUrl":"https://doi.org/10.28995/2075-7182-2022-21-1068-1077","url":null,"abstract":"Modern encoder-decoder based neural machine translation (NMT) models are normally trained on parallel sentences. Hence, they give best results when translating full sentences rather than sentence parts. Thereby, the task of translating commonly used phrases, which often arises for language learners, is not addressed by NMT models. While for high-resourced language pairs human-built phrase dictionaries exist, less-resourced pairs do not have them. We suggest an approach for building such dictionary automatically based on the GIZA++ output and show that it works significantly better than translating phrases with a sentences-trained NMT system.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712648","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
Sample Efficient Approaches for Idiomaticity Detection 基于样本效率的习语检测方法
Workshop on Multiword Expressions Pub Date : 2022-05-23 DOI: 10.48550/arXiv.2205.11306
Dylan Phelps, Xu Fan, Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, A. Villavicencio
{"title":"Sample Efficient Approaches for Idiomaticity Detection","authors":"Dylan Phelps, Xu Fan, Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, A. Villavicencio","doi":"10.48550/arXiv.2205.11306","DOIUrl":"https://doi.org/10.48550/arXiv.2205.11306","url":null,"abstract":"Deep neural models, in particular Transformer-based pre-trained language models, require a significant amount of data to train. This need for data tends to lead to problems when dealing with idiomatic multiword expressions (MWEs), which are inherently less frequent in natural text. As such, this work explores sample efficient methods of idiomaticity detection. In particular we study the impact of Pattern Exploit Training (PET), a few-shot method of classification, and BERTRAM, an efficient method of creating contextual embeddings, on the task of idiomaticity detection. In addition, to further explore generalisability, we focus on the identification of MWEs not present in the training data. Our experiments show that while these methods improve performance on English, they are much less effective on Portuguese and Galician, leading to an overall performance about on par with vanilla mBERT. Regardless, we believe sample efficient methods for both identifying and representing potentially idiomatic MWEs are very encouraging and hold significant potential for future exploration.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397159","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
Light Verb Constructions and Their Families - A Corpus Study on German ‘stehen unter’-LVCs 轻动词结构及其家族——德语“stehen unter”- lcv语料库研究
Workshop on Multiword Expressions Pub Date : 2021-08-01 DOI: 10.18653/v1/2021.mwe-1.8
Jens Fleischhauer
{"title":"Light Verb Constructions and Their Families - A Corpus Study on German ‘stehen unter’-LVCs","authors":"Jens Fleischhauer","doi":"10.18653/v1/2021.mwe-1.8","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.8","url":null,"abstract":"The paper reports on a corpus study of German light verb constructions (LVCs). LVCs come in families which exemplify systematic interpretation patterns. The paper’s aim is to account for the properties determining these patterns on the basis of a corpus study on German LVCs of the type ‘stehen unter’ NP’ (‘stand under NP’).","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763485","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
Lexical Semantic Recognition 词汇语义识别
Workshop on Multiword Expressions Pub Date : 2020-04-30 DOI: 10.18653/v1/2021.mwe-1.6
Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
{"title":"Lexical Semantic Recognition","authors":"Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider","doi":"10.18653/v1/2021.mwe-1.6","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.6","url":null,"abstract":"In lexical semantics, full-sentence segmentation and segment labeling of various phenomena are generally treated separately, despite their interdependence. We hypothesize that a unified lexical semantic recognition task is an effective way to encapsulate previously disparate styles of annotation, including multiword expression identification / classification and supersense tagging. Using the STREUSLE corpus, we train a neural CRF sequence tagger and evaluate its performance along various axes of annotation. As the label set generalizes that of previous tasks (PARSEME, DiMSUM), we additionally evaluate how well the model generalizes to those test sets, finding that it approaches or surpasses existing models despite training only on STREUSLE. Our work also establishes baseline models and evaluation metrics for integrated and accurate modeling of lexical semantics, facilitating future work in this area.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129264337","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: 16
PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing 一个平行成语语料库，用于成语句子的生成和释义
Workshop on Multiword Expressions Pub Date : 1900-01-01 DOI: 10.18653/v1/2021.mwe-1.5
Jianing Zhou, Hongyu Gong, S. Bhat
{"title":"PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing","authors":"Jianing Zhou, Hongyu Gong, S. Bhat","doi":"10.18653/v1/2021.mwe-1.5","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.5","url":null,"abstract":"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 under-explored. In this paper, we propose two new tasks of idiomatic sentence generation and paraphrasing to fill this research gap. We introduce a curated dataset of 823 IEs, and a parallel corpus with sentences containing them and the same sentences where the IEs were replaced by their literal paraphrases as the primary resource for our tasks. We benchmark existing deep learning models, which have state-of-the-art performance on related tasks using automated and manual evaluation with our dataset to inspire further research on our proposed tasks. By establishing baseline models, we pave the way for more comprehensive and accurate modeling of IEs, both for generation and paraphrasing.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"87 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":"117160005","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: 14
Where Do Aspectual Variants of Light Verb Constructions Belong? 轻动词结构的体形变体属于哪一类?
Workshop on Multiword Expressions Pub Date : 1900-01-01 DOI: 10.18653/v1/2021.mwe-1.2
A. Fotopoulou, Eric Guy Claude Laporte, Takuya Nakamura
{"title":"Where Do Aspectual Variants of Light Verb Constructions Belong?","authors":"A. Fotopoulou, Eric Guy Claude Laporte, Takuya Nakamura","doi":"10.18653/v1/2021.mwe-1.2","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.2","url":null,"abstract":"Expressions with an aspectual variant of a light verb, e.g. ‘take on debt’ vs. ‘have debt’, are frequent in texts but often difficult to classify between verbal idioms, light verb constructions or compositional phrases. We investigate the properties of such expressions with a disputed membership and propose a selection of features that determine more satisfactory boundaries between the three categories in this zone, assigning the expressions to one of them.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"102 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":"124192601","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: 6
Finding BERT’s Idiomatic Key 寻找伯特的惯用钥匙
Workshop on Multiword Expressions Pub Date : 1900-01-01 DOI: 10.18653/v1/2021.mwe-1.7
Vasudevan Nedumpozhimana, John D. Kelleher
{"title":"Finding BERT’s Idiomatic Key","authors":"Vasudevan Nedumpozhimana, John D. Kelleher","doi":"10.18653/v1/2021.mwe-1.7","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.7","url":null,"abstract":"Sentence embeddings encode information relating to the usage of idioms in a sentence. This paper reports a set of experiments that combine a probing methodology with input masking to analyse where in a sentence this idiomatic information is taken from, and what form it takes. Our results indicate that BERT’s idiomatic key is primarily found within an idiomatic expression, but also draws on information from the surrounding context. Also, BERT can distinguish between the disruption in a sentence caused by words missing and the incongruity caused by idiomatic usage.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"47 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":"134506683","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: 11
Data-driven Identification of Idioms in Song Lyrics 基于数据的歌词习语识别
Workshop on Multiword Expressions Pub Date : 1900-01-01 DOI: 10.18653/v1/2021.mwe-1.3
Miriam Amin, Péter Fankhauser, M. Kupietz, Roman Schneider
{"title":"Data-driven Identification of Idioms in Song Lyrics","authors":"Miriam Amin, Péter Fankhauser, M. Kupietz, Roman Schneider","doi":"10.18653/v1/2021.mwe-1.3","DOIUrl":"https://doi.org/10.18653/v1/2021.mwe-1.3","url":null,"abstract":"The automatic recognition of idioms poses a challenging problem for NLP applications. Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is still ample scope for improvement regarding computational approaches. We assume that idiomatic constructions can be characterized by gradual intensities of semantic non-compositionality, formal fixedness, and unusual usage context, and introduce a number of measures for these characteristics, comprising count-based and predictive collocation measures together with measures of context (un)similarity. We evaluate our approach on a manually labelled gold standard, derived from a corpus of German pop lyrics. To this end, we apply a Random Forest classifier to analyze the individual contribution of features for automatically detecting idioms, and study the trade-off between recall and precision. Finally, we evaluate the classifier on an independent dataset of idioms extracted from a list of Wikipedia idioms, achieving state-of-the art accuracy.","PeriodicalId":296162,"journal":{"name":"Workshop on Multiword Expressions","volume":"10 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":"128089908","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: 4
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