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Proceedings of the IWCS Shared Task on Semantic Parsing最新文献

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Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model 基于递归神经网络和Transformer模型的语篇表示结构分析
Proceedings of the IWCS Shared Task on Semantic Parsing Pub Date : 2019-05-23 DOI: 10.18653/v1/W19-1203
Jiangming Liu, Shay B. Cohen, Mirella Lapata
{"title":"Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model","authors":"Jiangming Liu, Shay B. Cohen, Mirella Lapata","doi":"10.18653/v1/W19-1203","DOIUrl":"https://doi.org/10.18653/v1/W19-1203","url":null,"abstract":"We describe the systems we developed for Discourse Representation Structure (DRS) parsing as part of the IWCS-2019 Shared Task of DRS Parsing.1 Our systems are based on sequence-to-sequence modeling. To implement our model, we use the open-source neural machine translation system implemented in PyTorch, OpenNMT-py. We experimented with a variety of encoder-decoder models based on recurrent neural networks and the Transformer model. We conduct experiments on the standard benchmark of the Parallel Meaning Bank (PMB 2.2). Our best system achieves a score of 84.8% F1 in the DRS parsing shared task.","PeriodicalId":173384,"journal":{"name":"Proceedings of the IWCS Shared Task on Semantic Parsing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991597","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: 15
Transition-based DRS Parsing Using Stack-LSTMs 使用堆栈- lstm的基于转换的DRS解析
Proceedings of the IWCS Shared Task on Semantic Parsing Pub Date : 2019-05-01 DOI: 10.18653/v1/W19-1202
Kilian Evang
{"title":"Transition-based DRS Parsing Using Stack-LSTMs","authors":"Kilian Evang","doi":"10.18653/v1/W19-1202","DOIUrl":"https://doi.org/10.18653/v1/W19-1202","url":null,"abstract":"We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88% f-score in the competition.","PeriodicalId":173384,"journal":{"name":"Proceedings of the IWCS Shared Task on Semantic Parsing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127304849","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: 18
Neural Boxer at the IWCS Shared Task on DRS Parsing 基于IWCS的DRS解析共享任务中的神经拳击手
Proceedings of the IWCS Shared Task on Semantic Parsing Pub Date : 1900-01-01 DOI: 10.18653/v1/W19-1204
Rik van Noord
{"title":"Neural Boxer at the IWCS Shared Task on DRS Parsing","authors":"Rik van Noord","doi":"10.18653/v1/W19-1204","DOIUrl":"https://doi.org/10.18653/v1/W19-1204","url":null,"abstract":"This paper describes our participation in the shared task of Discourse Representation Structure parsing. It follows the work of Van Noord et al. (2018), who employed a neural sequence-to-sequence model to produce DRSs, also exploiting linguistic information with multiple encoders. We provide a detailed look in the performance of this model and show that (i) the benefit of the linguistic features is evident across a number of experiments which vary the amount of training data and (ii) the model can be improved by applying a number of postprocessing methods to fix ill-formed output. Our model ended up in second place in the competition, with an F-score of 84.5.","PeriodicalId":173384,"journal":{"name":"Proceedings of the IWCS Shared Task on Semantic Parsing","volume":"15 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":"122463602","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
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