Multilinguality and Language Technology

We are a team at the MLT-Lab at DFKI specializing on Question Answering (QA) and Information Extraction (IE) – simply QAIE.

Question Answering (finding and extracting answers for natural language questions from text) and Information Extraction (extracting entities and relations from text) are closely related: both share a number of sub-tasks like named entity recognition, relation extraction and entity linking. We research and develop methods combining Language Technology, Machine Learning and Deep Learning from core components to complete end-to-end solutions. We develop QAIE solutions in many application areas, including e-Health, BioNLP, e-Learning, and intelligent assistance.

• Stalin Varanasi, Muhammad Umer Butt, and Günter Neumann (2023) AutoQIR: Auto-Encoding Questions with Retrieval Augmented Decoding for Unsupervised Passage Retrieval and Zero-shot Question Generation, Proceedings of Recent Advances in Natural Language Processing (RANLP-2023), Bulgaria, 2023.
• Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, and Günter Neumann (2022) MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction, Proceedings of The 29th International Conference on Computational Linguistics (Coling-2022), October 12-17, 2022, Gyeongju, Republic of Korea
• Ioannis Dikeoulias, Saadullah Amin, and Günter Neumann (2022) Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations , Proceedings of the 7th Workshop on Representation Learning for NLP. ACL-2022, RepL4NLP May 2022, Pages 111-120 ACL 5/2022 (RepL4NLP-2022), May, 2022.
• Saadullah Amin, Noon Pokaratsiri, Morgan Wixted, Alejandro García-Rudolph, Catalina Martínez-Costa, and Günter Neumann (2022) Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts , Proceedings of the 21st Workshop on Biomedical Language Processing. ACL-2022 BioNLP, May 22-27, Pages 200-211 ACL 5/2022. (BioNLP-2022), May, 2022.
• Stalin Varanasi, Saadullah Amin and Günter Neumann (2021) AutoEQA: Auto-Encoding Questions for Extractive Question Answering, In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2021), Nov. 2021.