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Explaining Relationships Between Scientific Documents.

, , , , , and . ACL/IJCNLP (1), page 2130-2144. Association for Computational Linguistics, (2021)

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DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling., , , and . ICLR, OpenReview.net, (2020)DocFinQA: A Long-Context Financial Reasoning Dataset., , , and . CoRR, (2024)Explaining Relationships Between Scientific Documents, , , , , and . (2020)Parsing Algebraic Word Problems into Equations., , , , and . Trans. Assoc. Comput. Linguistics, (2015)SemEval-2019 Task 10: Math Question Answering., , , , , and . SemEval@NAACL-HLT, page 893-899. Association for Computational Linguistics, (2019)DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling., , , and . CoRR, (2019)Extracting Summary Knowledge Graphs from Long Documents., , , and . CoRR, (2020)Text Generation from Knowledge Graphs with Graph Transformers., , , , and . NAACL-HLT (1), page 2284-2293. Association for Computational Linguistics, (2019)A Controllable Model of Grounded Response Generation., , , , , , , , , and 1 other author(s). AAAI, page 14085-14093. AAAI Press, (2021)MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms., , , , , and . NAACL-HLT (1), page 2357-2367. Association for Computational Linguistics, (2019)