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Automated Template Generation for Question Answering over Knowledge Graphs.

, , , and . WWW, page 1191-1200. ACM, (2017)

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Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion., , , , and . CIKM, page 729-738. ACM, (2019)Query-driven On-the-fly Knowledge Base Construction, , , , and . Proc. VLDB Endow., 11 (1): 66--79 (September 2017)ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters., , , and . NAACL-HLT (1), page 307-317. Association for Computational Linguistics, (2019)Identifying and Resolving Annotation Changes for Natural Language Understanding., , , and . NAACL-HLT (Industry Papers), page 10-18. Association for Computational Linguistics, (2021)Novel Feature Discovery for Task-Oriented Dialog Systems., , and . EACL (Findings), page 770-780. Association for Computational Linguistics, (2023)Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs., , , , , and . SIGIR, page 105-114. ACM, (2019)Neural Named Entity Recognition from Subword Units., and . INTERSPEECH, page 2663-2667. ISCA, (2019)Continuous Model Improvement for Language Understanding with Machine Translation., , , , , and . NAACL-HLT (Industry Papers), page 56-62. Association for Computational Linguistics, (2021)Question answering over knowledge bases with continuous learning.. Saarland University, Saarbrücken, Germany, (2019)ALLaM: Large Language Models for Arabic and English., , , , , , , , , and 15 other author(s). CoRR, (2024)