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Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering.

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Другие публикации лиц с тем же именем

Scrutable Feature Sets for Stance Classification., , и . ArgMining@ACL, The Association for Computer Linguistics, (2016)Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction., , и . COLING, стр. 6424-6435. International Committee on Computational Linguistics, (2020)Learning to Borrow- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion., , , и . NAACL-HLT, стр. 2887-2898. Association for Computational Linguistics, (2022)Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering., , , и . CoRR, (2020)Lexico-syntactic text simplification and compression with typed dependencies., , и . COLING, стр. 1996-2006. ACL, (2014)Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules., и . EACL, стр. 722-731. The Association for Computer Linguistics, (2014)From Semi-automated to Automated Methods of Ontology Learning from Twitter Data., , и . IC3K, том 1297 из Communications in Computer and Information Science, стр. 213-236. Springer, (2019)Ontology Learning from Twitter Data., , , и . KEOD, стр. 94-103. ScitePress, (2019)Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction., , , и . AKBC, (2019)Text simplification using synchronous dependency grammars: Generalising automatically harvested rules., и . INLG, стр. 16-25. The Association for Computer Linguistics, (2014)