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Publication search results
found 44 matches
- 2022
- Jeffrey Chiu, Rajat Mittal, Neehal Tumma, Abhishek Sharma, Finale Doshi-Velez:
A Joint Learning Approach for Semi-supervised Neural Topic Modeling. SPNLP@ACL 2022: 40-51 - Daniel Daza, Michael Cochez, Paul Groth:
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. SPNLP@ACL 2022: 32-39 - Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer:
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31 - Shunsuke Kando, Hiroshi Noji, Yusuke Miyao:
Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion. SPNLP@ACL 2022: 1-10 - Jindrich Libovický, Alexander Fraser:
Neural String Edit Distance. SPNLP@ACL 2022: 52-66 - Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki:
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks. SPNLP@ACL 2022: 11-21 - Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. SPNLP@ACL 2022: 67-81 - Andreas Vlachos, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu:
Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-51-3 [contents] - 2021
- Erenay Dayanik, André Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Padó:
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification. SPNLP@ACL-IJCNLP 2021: 53-60 - Jonas Groschwitz, Meaghan Fowlie, Alexander Koller:
Learning compositional structures for semantic graph parsing. SPNLP@ACL-IJCNLP 2021: 22-36 - Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 61-66 - Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP 2021: 37-43 - Ilia Kulikov, Sean Welleck, Kyunghyun Cho:
Mode recovery in neural autoregressive sequence modeling. SPNLP@ACL-IJCNLP 2021: 44-52 - Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi:
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation. SPNLP@ACL-IJCNLP 2021: 1-11 - Ohad Rubin, Jonathan Berant:
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 12-21 - Zhisong Zhang, Emma Strubell, Eduard H. Hovy:
Comparing Span Extraction Methods for Semantic Role Labeling. SPNLP@ACL-IJCNLP 2021: 67-77 - Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos, Priyanka Agrawal, André F. T. Martins:
Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-75-6 [contents] - 2020
- Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. SPNLP@EMNLP 2020: 1-10 - Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP 2020: 74-83 - Hendrik ter Horst, Philipp Cimiano:
Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension. SPNLP@EMNLP 2020: 22-32 - Sébastien Jean, Kyunghyun Cho:
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation. SPNLP@EMNLP 2020: 95-101 - Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho:
On the Discrepancy between Density Estimation and Sequence Generation. SPNLP@EMNLP 2020: 84-94 - Nikolaos Manginas, Ilias Chalkidis, Prodromos Malakasiotis:
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations. SPNLP@EMNLP 2020: 53-61 - Arindam Mitra, Sanjay Narayana, Chitta Baral:
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's Perspective. SPNLP@EMNLP 2020: 102-111 - Clément Sage, Alex Aussem, Véronique Eglin, Haytham Elghazel, Jérémy Espinas:
End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks. SPNLP@EMNLP 2020: 43-52 - Abhinav Singh, Patrick Xia, Guanghui Qin, Mahsa Yarmohammadi, Benjamin Van Durme:
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. SPNLP@EMNLP 2020: 11-16 - Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. SPNLP@EMNLP 2020: 17-21 - Anh-Duong Trinh, Robert J. Ross, John D. Kelleher:
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking. SPNLP@EMNLP 2020: 33-42 - Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP 2020: 62-73 - Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents]
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