Scientific Discourse Tagging for Evidence Extraction
暂无分享,去创建一个
[1] Geoffrey E. Hinton,et al. Transforming Auto-Encoders , 2011, ICANN.
[2] Jerry R. Hobbs. Information extraction from biomedical text , 2002, J. Biomed. Informatics.
[3] Bahar Sateli,et al. Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud , 2015, PeerJ Comput. Sci..
[4] Eduard H. Hovy,et al. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF , 2016, ACL.
[5] Anita de Waard,et al. Optimized Machine Learning Methods Predict Discourse Segment Type in Biological Research Articles , 2018, SAVE-SD@WWW.
[6] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[7] Maria Liakata,et al. Zones of conceptualisation in scientific papers: a window to negative and speculative statements , 2010, NeSp-NLP@ACL.
[8] Serena Villata,et al. Argument Mining on Twitter: Arguments, Facts and Sources , 2017, EMNLP.
[9] Tapio Salakoski,et al. Distributional Semantics Resources for Biomedical Text Processing , 2013 .
[10] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[11] Sanjeev Arora,et al. A Simple but Tough-to-Beat Baseline for Sentence Embeddings , 2017, ICLR.
[12] Marc Moens,et al. Discourse-level argumentation in scientific articles: human and automatic annotation , 1999 .
[13] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[14] Eduard H. Hovy,et al. Automated detection of discourse segment and experimental types from the text of cancer pathway results sections , 2016, Database J. Biol. Databases Curation.
[15] Nanyun Peng,et al. Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings , 2015, EMNLP.
[16] Iryna Gurevych,et al. Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective , 2014, ArgNLP.
[17] Dietrich Rebholz-Schuhmann,et al. Automatic recognition of conceptualization zones in scientific articles and two life science applications , 2012, Bioinform..
[18] Nanyun Peng,et al. Building deep learning models for evidence classification from the open access biomedical literature , 2019, Database J. Biol. Databases Curation.
[19] Carolyn L. Talcott,et al. Pathway Logic: Executable Models of Biological Networks , 2004, WRLA.
[20] Lovekesh Vig,et al. Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).
[21] Vangelis Karkaletsis,et al. Argument Extraction from News , 2015, ArgMining@HLT-NAACL.
[22] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[23] Michael J. Baker,et al. The role of argumentation in online epistemic communities: the anatomy of a conflict in Wikipedia , 2010, ECCE.
[24] Andreas Vlachos,et al. The Fact Extraction and VERification (FEVER) Shared Task , 2018, ArXiv.
[25] Peter Szolovits,et al. Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts , 2018, EMNLP.
[26] Anita de Waard,et al. Epistemic Modality and Knowledge Attribution in Scientific Discourse: A Taxonomy of Types and Overview of Features , 2012 .
[27] Eduard H. Hovy,et al. Extracting Evidence Fragments for Distant Supervision of Molecular Interactions , 2017, SemSci@ISWC.
[28] Li Dong,et al. Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation , 2019, CoNLL.
[29] Jaewoo Kang,et al. BioBERT: a pre-trained biomedical language representation model for biomedical text mining , 2019, Bioinform..
[30] Erik F. Tjong Kim Sang,et al. Representing Text Chunks , 1999, EACL.
[31] Maria Liakata,et al. Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes , 2010, BioNLP@ACL.
[32] Iryna Gurevych,et al. Argumentation Mining on the Web from Information Seeking Perspective , 2014, ArgNLP.
[33] Franck Dernoncourt,et al. PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts , 2017, IJCNLP.
[34] Kyle Lo,et al. SciBERT: Pretrained Contextualized Embeddings for Scientific Text , 2019, ArXiv.
[35] Carole A. Goble,et al. Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications , 2013, Journal of Biomedical Semantics.
[36] Rafael C. Jimenez,et al. The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases , 2013, Nucleic Acids Res..
[37] Naoaki Okazaki,et al. Identifying Sections in Scientific Abstracts using Conditional Random Fields , 2008, IJCNLP.
[38] Eric Nichols,et al. Named Entity Recognition with Bidirectional LSTM-CNNs , 2015, TACL.
[39] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[40] Nanyun Peng,et al. Multi-task Multi-domain Representation Learning for Sequence Tagging , 2016, ArXiv.
[41] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.
[42] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[43] Eduard H. Hovy,et al. Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks , 2017, ArXiv.
[44] Konrad P. Körding,et al. Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning , 2019, ArXiv.
[45] C. Lee Giles,et al. CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd , 2020, ArXiv.
[46] Nanyun Peng,et al. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning , 2016, ACL.
[47] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[48] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[49] Kevin Duh,et al. A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition , 2017, IJCNLP.
[50] Marc Moens,et al. Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status , 2002, CL.
[51] Oren Etzioni,et al. CORD-19: The Covid-19 Open Research Dataset , 2020, NLPCOVID19.