SPNLP@NAACL-HLT - researchr conference series publications

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2022

Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022Andreas Vlachos 0001, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu, editors, Association for Computational Linguistics, 2022. [doi]

A Joint Learning Approach for Semi-supervised Neural Topic ModelingJeffrey Chiu, Rajat Mittal, Neehal Tumma, Abhishek Sharma, Finale Doshi-Velez. acl-spnlp 2022: 40-51 [doi]

SlotGAN: Detecting Mentions in Text via Adversarial Distant LearningDaniel Daza, Michael Cochez, Paul Groth. acl-spnlp 2022: 32-39 [doi]

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph CompletionGuirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer. acl-spnlp 2022: 22-31 [doi]

Multilingual Syntax-aware Language Modeling through Dependency Tree ConversionShunsuke Kando, Hiroshi Noji, Yusuke Miyao. acl-spnlp 2022: 1-10 [doi]

Neural String Edit DistanceJindrich Libovický, Alexander Fraser 0001. acl-spnlp 2022: 52-66 [doi]

Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural NetworksYoumi Ma, Tatsuya Hiraoka, Naoaki Okazaki. acl-spnlp 2022: 11-21 [doi]

Predicting Attention Sparsity in TransformersMarcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins. acl-spnlp 2022: 67-81 [doi]

2021

A Globally Normalized Neural Model for Semantic ParsingChenyang Huang 0001, Wei Yang 0017, Yanshuai Cao, Osmar Zaïane, Lili Mou. acl-spnlp 2021: 61-66 [doi]

Using Hierarchical Class Structure to Improve Fine-Grained Claim ClassificationErenay Dayanik, André Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Padó. acl-spnlp 2021: 53-60 [doi]

Learning compositional structures for semantic graph parsingJonas Groschwitz, Meaghan Fowlie, Alexander Koller. acl-spnlp 2021: 22-36 [doi]

Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos 0001, Priyanka Agrawal, André F. T. Martins, editors, Association for Computational Linguistics, 2021. [doi]

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence TasksJulia Kreutzer, Stefan Riezler, Carolin Lawrence. acl-spnlp 2021: 37-43 [doi]

Mode recovery in neural autoregressive sequence modelingIlia Kulikov, Sean Welleck, KyungHyun Cho. acl-spnlp 2021: 44-52 [doi]

RewardsOfSum: Exploring Reinforcement Learning Rewards for SummarisationJacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi. acl-spnlp 2021: 1-11 [doi]

SmBoP: Semi-autoregressive Bottom-up Semantic ParsingOhad Rubin, Jonathan Berant. acl-spnlp 2021: 12-21 [doi]

Comparing Span Extraction Methods for Semantic Role LabelingZhisong Zhang, Emma Strubell, Eduard H. Hovy. acl-spnlp 2021: 67-77 [doi]

2020

Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos 0001, editors, Association for Computational Linguistics, 2020. [doi]

Syntax-driven Iterative Expansion Language Models for Controllable Text GenerationNoe Casas, José A. R. Fonollosa, Marta R. Costa-Jussà. acl-spnlp 2020: 1-10 [doi]

Reading the Manual: Event Extraction as Definition ComprehensionYunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme. acl-spnlp 2020: 74-83 [doi]

Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine TranslationSébastien Jean, KyungHyun Cho. acl-spnlp 2020: 95-101 [doi]

On the Discrepancy between Density Estimation and Sequence GenerationJason Lee, Dustin Tran, Orhan Firat, KyungHyun Cho. acl-spnlp 2020: 84-94 [doi]

Layer-wise Guided Training for BERT: Learning Incrementally Refined Document RepresentationsNikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis. acl-spnlp 2020: 53-61 [doi]

Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's PerspectiveArindam Mitra, Sanjay Narayana, Chitta Baral. acl-spnlp 2020: 102-111 [doi]

End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator NetworksClément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel, Jérémy Espinas. acl-spnlp 2020: 43-52 [doi]

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence ModelsAbhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme. acl-spnlp 2020: 11-16 [doi]

Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text ComprehensionHendrik ter Horst, Philipp Cimiano. acl-spnlp 2020: 22-32 [doi]

Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical RepresentationsKe Tran, Ming Tan. acl-spnlp 2020: 17-21 [doi]

Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State TrackingAnh-Duong Trinh, Robert J. Ross, John D. Kelleher. acl-spnlp 2020: 33-42 [doi]

Improving Joint Training of Inference Networks and Structured Prediction Energy NetworksLifu Tu, Richard Yuanzhe Pang, Kevin Gimpel. acl-spnlp 2020: 62-73 [doi]

2019

SPARSE: Structured Prediction using Argument-Relative Structured EncodingRishi Bommasani, Arzoo Katiyar, Claire Cardie. acl-spnlp 2019: 13-17 [doi]

Parallelizable Stack Long Short-Term MemoryShuoyang Ding, Philipp Koehn. acl-spnlp 2019: 1-6 [doi]

Tracking Discrete and Continuous Entity State for Process UnderstandingAditya Gupta, Greg Durrett. acl-spnlp 2019: 7-12 [doi]

Semi-Supervised Teacher-Student Architecture for Relation ExtractionFan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu. acl-spnlp 2019: 29-37 [doi]

Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer, editors, Association for Computational Linguistics, 2019. [doi]

Lightly-supervised Representation Learning with Global InterpretabilityAndrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu. acl-spnlp 2019: 18-28 [doi]

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