Daniel Dahlmeier

According to our database, Daniel Dahlmeier authored at least 37 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Deep Dive Text Analytics and Natural Language Understanding.

José Manuél Gómez-Pérez, Andrés García-Silva, Cristian Berrio, German Rigau, Aitor Soroa, Christian Lieske, Johannes Hoffart, Felix Sasaki, Daniel Dahlmeier, Inguna Skadina, Aivars Berzins, Andrejs Vasiljevs, Teresa Lynn

Proceedings of the European Language Equality, 2023

2019

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Memory networks for fine-grained opinion mining.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

Artif. Intell., 2018

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Effective Attention Modeling for Aspect-Level Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Exploiting Document Knowledge for Aspect-level Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Character-Based Text Classification using Top Down Semantic Model for Sentence Representation.

Zhenzhou Wu, Xin Zheng, Daniel Dahlmeier

CoRR, 2017

Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

CoRR, 2017

Multi-Query Optimization for Complex Event Processing in SAP ESP.

Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors.

Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

From character to document representation with global context awareness.

Zhenzhou Wu, Xin Zheng, Daniel Dahlmeier

Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

An Unsupervised Neural Attention Model for Aspect Extraction.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

On the Challenges of Translating NLP Research into Commercial Products.

Daniel Dahlmeier

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Inferring Activities and Optimal Trips: Lessons From Singapore's National Science Experiment.

Barnabé Monnot, Erik Wilhelm, Georgios Piliouras, Yuren Zhou, Daniel Dahlmeier, Hai Yun Lu, Wang Jin

Proceedings of the Complex Systems Design & Management Asia - Smart Nations, 2016

2015

DEPART: Dynamic Route Planning in Stochastic Time-Dependent Public Transit Networks.

Peng Ni, Hoang Tam Vo, Daniel Dahlmeier, Wentong Cai, Jordan Ivanchev, Heiko Aydt

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Learning the Peculiar Value of Actions.

Daniel Dahlmeier

Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data.

Yi Song, Daniel Dahlmeier, Stéphane Bressan

Proceedings of the Proceeding of the 1st International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with 37th Annual International ACM SIGIR conference, 2014

SAP-RI: Twitter Sentiment Analysis in Two Days.

Akriti Vij, Nishtha Malhotra, Naveen Nandan, Daniel Dahlmeier

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis.

Naveen Nandan, Daniel Dahlmeier, Akriti Vij, Nishtha Malhotra

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

A Biclustering-Based Classification Framework for Microarray Analysis.

Baljeet Malhotra, Daniel Dahlmeier, Naveen Nandan

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Part-of-Speech is (almost) enough: SAP Research & Innovation at the #Microposts2014 NEEL Challenge.

Daniel Dahlmeier, Naveen Nandan, Wang Ting

Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

2013

Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English.

Daniel Dahlmeier, Hwee Tou Ng, Siew Mei Wu

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013

2012

Better Evaluation for Grammatical Error Correction.

Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

A Beam-Search Decoder for Grammatical Error Correction.

Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

NUS at the HOO 2012 Shared Task.

Daniel Dahlmeier, Hwee Tou Ng, Eric Jun Feng Ng

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

2011

TESLA at WMT 2011: Translation Evaluation and Tunable Metric.

Daniel Dahlmeier, Chang Liu, Hwee Tou Ng

Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

NUS at the HOO 2011 Pilot Shared Task.

Daniel Dahlmeier, Hwee Tou Ng, Thanh Phu Tran

Proceedings of the ENLG 2011, 2011

Better Evaluation Metrics Lead to Better Machine Translation.

Chang Liu, Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Correcting Semantic Collocation Errors with L1-induced Paraphrases.

Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Grammatical Error Correction with Alternating Structure Optimization.

Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Domain adaptation for semantic role labeling in the biomedical domain.

Daniel Dahlmeier, Hwee Tou Ng

Bioinform., 2010

TESLA: Translation Evaluation of Sentences with Linear-Programming-Based Analysis.

Chang Liu, Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts.

Chang Liu, Daniel Dahlmeier, Hwee Tou Ng

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009

On the practical importance of communication complexity for secure multi-party computation protocols.

Florian Kerschbaum, Daniel Dahlmeier, Axel Schröpfer, Debmalya Biswas

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Joint Learning of Preposition Senses and Semantic Roles of Prepositional Phrases.

Daniel Dahlmeier, Hwee Tou Ng, Tanja Schultz

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009