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Syntax Aware LSTM Model for Chinese Semantic Role Labeling [article]

Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang
<span title="2017-04-20">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose Syntax Aware Long Short Time Memory(SA-LSTM).  ...  As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way  ...  Conclusion We propose Syntax Aware LSTM model for Chinese semantic role labeling. SA-LSTM is able to model dependency information directly in an architecture engineering way.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1704.00405v2">arXiv:1704.00405v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m2jgilblobhjrj5b6ppa2ni2be">fatcat:m2jgilblobhjrj5b6ppa2ni2be</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200829222500/https://arxiv.org/pdf/1704.00405v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2a/6c/2a6cdc7ffdae4b75f11677f91d4b437cde069f43.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1704.00405v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Syntax Aware LSTM model for Semantic Role Labeling

Feng Qian, Lei Sha, Baobao Chang, LuChen Liu, Ming Zhang
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing</a> </i> &nbsp;
In Semantic Role Labeling (SRL) task, the tree structured dependency relation is rich in syntax information, but it is not well handled by existing models.  ...  In this paper, we propose Syntax Aware Long Short Time Memory (SA-LSTM).  ...  Acknowledgments Thanks Natali for proofreading the paper and giving so many valuable suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-4305">doi:10.18653/v1/w17-4305</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/QianSCLZ17.html">dblp:conf/emnlp/QianSCLZ17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/naettsabzfbe7fa2365p7zsvrm">fatcat:naettsabzfbe7fa2365p7zsvrm</a> </span>
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A Unified Syntax-aware Framework for Semantic Role Labeling

Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</a> </i> &nbsp;
Semantic role labeling (SRL) aims to recognize the predicate-argument structure of a sentence. Syntactic information has been paid a great attention over the role of enhancing SRL.  ...  Our framework achieves state-of-the-art results on CoNLL-2009 benchmarks both for English and Chinese, substantially outperforming all previous models.  ...  Related Work Semantic role labeling was pioneered by Gildea and Jurafsky (2002) , also known as shallow semantic parsing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d18-1262">doi:10.18653/v1/d18-1262</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/LiHCZZLLS18.html">dblp:conf/emnlp/LiHCZZLLS18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pntyqxppn5gi5bvfskekf4rt3e">fatcat:pntyqxppn5gi5bvfskekf4rt3e</a> </span>
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling [article]

Diego Marcheggiani, Ivan Titov
<span title="2017-07-30">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Semantic role labeling (SRL) is the task of identifying the predicate-argument structure of a sentence. It is typically regarded as an important step in the standard NLP pipeline.  ...  best reported scores on the standard benchmark (CoNLL-2009) both for Chinese and English.  ...  Acknowledgements We would thank Anton Frolov, Michael Schlichtkrull, Thomas Kipf, Michael Roth, Max Welling, Yi Zhang, and Wilker Aziz for their suggestions and comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1703.04826v4">arXiv:1703.04826v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/chajnzi7hrgitbrndichcyddb4">fatcat:chajnzi7hrgitbrndichcyddb4</a> </span>
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Diego Marcheggiani, Ivan Titov
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</a> </i> &nbsp;
Semantic role labeling (SRL) is the task of identifying the predicate-argument structure of a sentence. It is typically regarded as an important step in the standard NLP pipeline.  ...  reported scores on the standard benchmark (CoNLL-2009) both for Chinese and English.  ...  Acknowledgements We would thank Anton Frolov, Michael Schlichtkrull, Thomas Kipf, Michael Roth, Max Welling, Yi Zhang, and Wilker Aziz for their suggestions and comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d17-1159">doi:10.18653/v1/d17-1159</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/MarcheggianiT17.html">dblp:conf/emnlp/MarcheggianiT17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7kxdj72q7zawpiujmztcdcy5wu">fatcat:7kxdj72q7zawpiujmztcdcy5wu</a> </span>
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A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware? [article]

Jiaxun Cai, Shexia He, Zuchao Li, Hai Zhao
<span title="2018-08-14">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Though the proposed model is syntax-agnostic with local decoder, it outperforms the state-of-the-art syntax-aware SRL systems on the CoNLL-2008, 2009 benchmarks for both English and Chinese.  ...  Using a biaffine scorer, our model directly predicts all semantic role labels for all given word pairs in the sentence without relying on any syntactic parse information.  ...  Introduction Semantic role labeling (SRL) is a shallow semantic parsing, which is dedicated to identifying the semantic arguments of a predicate and labeling them with their semantic roles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1808.03815v2">arXiv:1808.03815v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mbles7k5lnbm3co6zm7lxetxte">fatcat:mbles7k5lnbm3co6zm7lxetxte</a> </span>
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Syntax-aware Semantic Role Labeling without Parsing

Rui Cai, Mirella Lapata
<span title="">2019</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jtrizn7izbhdlfmye6eriw6ub4" style="color: black;">Transactions of the Association for Computational Linguistics</a> </i> &nbsp;
In this paper we focus on learning dependency aware representations for semantic role labeling without recourse to an external parser.  ...  The backbone of our model is an LSTM-based semantic role labeler jointly trained with two auxiliary tasks: predicting the dependency label of a word and whether there exists an arc linking it to the predicate  ...  Acknowledgments We thank the anonymous reviewers for their feedback and the action editor Alessandro Moschitti for his comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/tacl_a_00272">doi:10.1162/tacl_a_00272</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cxvqtx63i5hi5nomalykh4h7ou">fatcat:cxvqtx63i5hi5nomalykh4h7ou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200106212233/https://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00272" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/da/e8da733085746eb6344c73e506343e8db2b48545.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/tacl_a_00272"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mitpressjournals.org </button> </a>

Attentive Semantic Role Labeling with Boundary Indicator [article]

Zhuosheng Zhang, Shexia He, Zuchao Li, Hai Zhao
<span title="2018-09-08">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our syntax-agnostic model achieves competitive performance with state-of-the-art models on the CoNLL-2009 benchmarks both for English and Chinese.  ...  The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language.  ...  ., 2009 ) benchmark for both English and Chinese. we show that with the help of auxiliary tags and self-attention, the syntax-agnostic model could even achieve a competitive performance with syntax-aware  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.02796v1">arXiv:1809.02796v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hyhycpqubnhmdezw5f3y6cfvxe">fatcat:hyhycpqubnhmdezw5f3y6cfvxe</a> </span>
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A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling [article]

Qingrong Xia, Zhenghua Li, Min Zhang
<span title="2019-11-12">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Semantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence.  ...  In this paper, we adopt a simple unified span-based model for both span-based and word-based Chinese SRL as a strong baseline.  ...  Acknowledgments We thank our anonymous reviewers for their helpful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.04641v1">arXiv:1911.04641v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t3ak2fwywnb63gifuvuspzj4vi">fatcat:t3ak2fwywnb63gifuvuspzj4vi</a> </span>
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A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling

Qingrong Xia, Zhenghua Li, Min Zhang
<span title="">2019</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)</a> </i> &nbsp;
Semantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence.  ...  In this paper, we adopt a simple unified span-based model for both span-based and word-based Chinese SRL as a strong baseline.  ...  Acknowledgments We thank our anonymous reviewers for their helpful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d19-1541">doi:10.18653/v1/d19-1541</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/XiaLZ19.html">dblp:conf/emnlp/XiaLZ19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jeh67aqsmvcjheocdkmknpuvr4">fatcat:jeh67aqsmvcjheocdkmknpuvr4</a> </span>
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Syntax for Semantic Role Labeling, To Be, Or Not To Be

Shexia He, Zuchao Li, Hai Zhao, Hongxiao Bai
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</a> </i> &nbsp;
Semantic role labeling (SRL) is dedicated to recognizing the predicate-argument structure of a sentence.  ...  Our model achieves state-of-the-art results on the CoNLL-2008, 2009 benchmarks for both English and Chinese, showing the quantitative significance of syntax to neural SRL together with a thorough empirical  ...  timeline of semantic role labeling.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-1192">doi:10.18653/v1/p18-1192</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/ZhaoHLB18.html">dblp:conf/acl/ZhaoHLB18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4rzlfzmjzrhyzifahzrkdpjoy4">fatcat:4rzlfzmjzrhyzifahzrkdpjoy4</a> </span>
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Syntax-aware Multilingual Semantic Role Labeling [article]

Shexia He, Zuchao Li, Hai Zhao
<span title="2019-09-10">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word representation  ...  We present a unified SRL model designed for multiple languages together with the proposed uniform syntax enhancement.  ...  Introduction Semantic role labeling (SRL) aims to derive the meaning representation such as an instantiated predicate-argument structure for a sentence.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.00310v3">arXiv:1909.00310v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vp7sbvg5qrcr5ifpayrkw64wbm">fatcat:vp7sbvg5qrcr5ifpayrkw64wbm</a> </span>
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Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks [article]

Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang
<span title="2019-12-05">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose a syntax-based graph convolution network (GCN) model to enhance the understanding of diverse grammatical structures of Chinese microblogs.  ...  In experiments, for Chinese microblogs emotion classification categories including happiness, sadness, like, anger, disgust, fear, and surprise, the F-measure of our model reaches 82.32% and exceeds the  ...  In NLP tasks, GCN also has good performance in event detection [5] , semantic role labeling [6] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.02545v1">arXiv:1912.02545v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r5pihl2zsrf3fe4pblg53njy2i">fatcat:r5pihl2zsrf3fe4pblg53njy2i</a> </span>
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Syntax Role for Neural Semantic Role Labeling

Zuchao Li, Hai Zhao, Shexia He, Jiaxun Cai
<span title="2021-06-30">2021</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e4yflo6sufcufjwloald7xudm4" style="color: black;">Computational Linguistics</a> </i> &nbsp;
Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument structure of a sentence.  ...  a few recent neural SRL studies that demonstrate impressive performance without syntactic backbones and suggest that syntax information becomes much less important for neural semantic role labeling, especially  ...  Syntax Role for Neural Semantic Role Labeling Table 1 A chronicle of related work for span and dependency SRL. SA represents a syntax-aware system (no + indicates a syntax-agnostic system).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/coli_a_00408">doi:10.1162/coli_a_00408</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pt6ntrdsovgjra7rjhrpq5mf5i">fatcat:pt6ntrdsovgjra7rjhrpq5mf5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210701210833/https://watermark.silverchair.com/coli_a_00408.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAs0wggLJBgkqhkiG9w0BBwagggK6MIICtgIBADCCAq8GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMuqCKu9p0a7m7mlQnAgEQgIICgAgm6eiVuKt0XWyQurAEb65u33Kew_3RxC4EKxGtg9NZLS8hdUOkYO8SvdRbenP6Z9uHs0ulwFQiSbBCRqrDVI93HfpCLgi-ezM7B9Obd8KkawQm8db52X5X7DcPqAZuo1ZJmxLYcwY1J1e4t2kQ357Fkio6nKXe1zcunIuw-b552C14pzrx-i3g_lY9OW4fGGoDQlS_wfxzHug1uZtGdgKo7V27zk-4ch95xfpAjrN68KRStEoslwiW3yMAVrDO2-vJ21KfBbCw5dRSF-YeXFiSGvfAamAeoQXitPGofywLr83K8tO5JlPrLk0ngFotLexkK6SnGyeT9C9idbybfao2etcUJ-ycN3i3xz9kF3tcAJkTwAFUKjBHlHnjWWwrh2x2-TgZnLaxRB-Ht6j_Pm0RJbhpvzNm-pLAt46wORIUue7xPXtnKMbIiZoLuOFGvUMn7X27yDIRgGLq73rPEbFOC-wB5hT_GTmwxoVnHUziqnLTh1RkxTIdGrzMbBUtpqGz0cWiXYkV7n4I4unfEuK6PR2c9O-EtxRSInrY2UzHrN6d8QZ0nmPmv6v7Mhdpozx27HijAjaWsa53q6d4bVlmV-zEYKOGXBi0Ir53Jle51ngC6zpdQruTcNLNsoj6DXZR7kkqxwfJLmu4r_XADDmMN7tqYyqlYxXd6vOHRQJqBlEAAOLNGpoQw-QqcN1Df6FKhOW5XU6n9YDJsY0NuQNXH9Ku1EUV4k8DfSw-eqpheeqYGihPkv2Kdg_F3XkZdaB1hntJyCi56PExP8Ghk0iz9-Dx-6QLfXGmEJKrJTi5DwUZQDHK9K3DRzm06zcAF73T2Ad7_eZqUUToZKIJY3I" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/43/43435ee54ee7c907c85c017883eb7f1f0632ee5b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/coli_a_00408"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mitpressjournals.org </button> </a>

Syntax Role for Neural Semantic Role Labeling [article]

Zuchao Li, Hai Zhao, Shexia He, Jiaxun Cai
<span title="2020-09-12">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument structure of a sentence.  ...  a few recent neural SRL studies that demonstrate impressive performance without syntactic backbones and suggest that syntax information becomes much less important for neural semantic role labeling, especially  ...  Acknowledgments We thank Rui Wang (wangrui.nlp@gmail.com), from the National Institute of Information and Communications Technology (NICT), for his helpful feedback and discussions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.05737v1">arXiv:2009.05737v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7y7qhkrlered7atoxvzdohpqze">fatcat:7y7qhkrlered7atoxvzdohpqze</a> </span>
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