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Combining Distant and Direct Supervision for Neural Relation Extraction.

, , and . NAACL-HLT (1), page 1858-1867. Association for Computational Linguistics, (2019)

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The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction., , , and . SemEval@ACL, page 592-596. Association for Computational Linguistics, (2017)SUPP.AI: finding evidence for supplement-drug interactions., , , , , , , and . ACL (demo), page 362-371. Association for Computational Linguistics, (2020)Transliteration by Sequence Labeling with Lattice Encodings and Reranking., , and . NEWS@ACL, page 66-70. Association for Computational Linguistics, (2012)A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications., , , , , , and . NAACL-HLT, page 1647-1661. Association for Computational Linguistics, (2018)Constraint-Based Models of Lexical Borrowing., , and . HLT-NAACL, page 598-608. The Association for Computational Linguistics, (2015)Ontology alignment in the biomedical domain using entity definitions and context., , , , , and . BioNLP, page 47-55. Association for Computational Linguistics, (2018)Conditional Random Field Autoencoders for Unsupervised Structured Prediction., , and . NIPS, page 3311-3319. (2014)The CMU Machine Translation Systems at WMT 2014., , , , , , , , , and . WMT@ACL, page 142-149. The Association for Computer Linguistics, (2014)ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing., , , and . BioNLP@ACL, page 319-327. Association for Computational Linguistics, (2019)GrapAL: Connecting the Dots in Scientific Literature., , and . ACL (3), page 147-152. Association for Computational Linguistics, (2019)