Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning

[1]  Bhavana Dalvi,et al.  Pretrained Language Models for Sequential Sentence Classification , 2019, EMNLP.

[2]  Qiang Yang,et al.  A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[3]  Barbara Grune,et al.  Evaluation of Scientific Elements for Text Similarity in Biomedical Publications , 2019, ArgMining@ACL.

[4]  S. Waqar Jaffry,et al.  Information extraction from scientific articles: a survey , 2018, Scientometrics.

[5]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[6]  Ralph Ewerth,et al.  Coreference Resolution in Research Papers from Multiple Domains , 2021, ECIR.

[7]  David Martínez,et al.  Automatic classification of sentences to support Evidence Based Medicine , 2011, BMC Bioinformatics.

[8]  Sebastian Ruder,et al.  Universal Language Model Fine-tuning for Text Classification , 2018, ACL.

[9]  P. Rousseeuw.  Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[10]  Àlex Bravo,et al.  Automatic related work section generation: experiments in scientific document abstracting , 2020, Scientometrics.

[11]  James P. Callan,et al.  Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding , 2017, WWW.

[12]  Franck Dernoncourt,et al.  PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts , 2017, IJCNLP.

[13]  Jr. G. Forney,et al.  Viterbi Algorithm , 1973, Encyclopedia of Machine Learning.

[14]  Promod Yenigalla,et al.  A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks , 2018, SDM.

[15]  Iryna Gurevych,et al.  Multi-Task Learning for Argumentation Mining in Low-Resource Settings , 2018, NAACL.

[16]  Ralph Ewerth,et al.  Domain-Independent Extraction of Scientific Concepts from Research Articles , 2020, ECIR.

[17]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[18]  Ruslan Salakhutdinov,et al.  Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks , 2016, ICLR.

[19]  Horacio Saggion,et al.  On the Discoursive Structure of Computer Graphics Research Papers , 2015, LAW@NAACL-HLT.

[20]  Franck Dernoncourt,et al.  Neural Networks for Joint Sentence Classification in Medical Paper Abstracts , 2017, EACL.

[21]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[22]  Guillaume Cabanac,et al.  Scholarly literature mining with information retrieval and natural language processing: Preface , 2020, Scientometrics.

[23]  Isabelle Augenstein,et al.  SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications , 2017, *SEMEVAL.

[24]  Franck Dernoncourt,et al.  Transfer Learning for Named-Entity Recognition with Neural Networks , 2017, LREC.

[25]  Sandra M. Aluísio,et al.  Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora , 2012, LREC.

[26]  Mark Steedman,et al.  Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model , 2019, ArXiv.

[27]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[28]  Masaaki Nagata,et al.  Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts , 2020, EMNLP.

[29]  Simone Teufel,et al.  Corpora for the Conceptualisation and Zoning of Scientific Papers , 2010, LREC.

[30]  Goran Glavas,et al.  ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing , 2018, ArgMining@EMNLP.

[31]  Peter Szolovits,et al.  Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts , 2018, EMNLP.

[32]  Paulo Cortez,et al.  A deep learning classifier for sentence classification in biomedical and computer science abstracts , 2019, Neural Computing and Applications.

[33]  Franck Dernoncourt,et al.  A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents , 2018, NAACL.

[34]  Yoshua Bengio,et al.  Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.

[35]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[36]  Ru Li,et al.  Multi-domain Transfer Learning for Text Classification , 2020, NLPCC.

[37]  Goran Glavas,et al.  Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models , 2018, EMNLP.

[38]  Behrang Q. Zadeh,et al.  SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers , 2018, *SEMEVAL.

[39]  Hoifung Poon,et al.  Document-Level N-ary Relation Extraction with Multiscale Representation Learning , 2019, NAACL.

[40]  Simone Teufel,et al.  Argumentative zoning information extraction from scientific text , 1999 .

[41]  Stephen Smith,et al.  Emerald 110k: A Multidisciplinary Dataset for Abstract Sentence Classification , 2019, ALTA.

[42]  Kambiz Badie,et al.  Automatic zone identification in scientific papers via fusion techniques , 2019, Scientometrics.

[44]  Kambiz Badie,et al.  Zone identification based on features with high semantic richness and combining results of separate classifiers , 2018, J. Inf. Telecommun..

[45]  Samuel R. Bowman,et al.  Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? , 2020, ACL.

[46]  Alun D. Preece,et al.  Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification , 2020, COLING.

[47]  Ralph Ewerth,et al.  Requirements Analysis for an Open Research Knowledge Graph , 2020, TPDL.

[48]  Iz Beltagy,et al.  SciBERT: A Pretrained Language Model for Scientific Text , 2019, EMNLP.

[49]  Rui Yan,et al.  How Transferable are Neural Networks in NLP Applications? , 2016, EMNLP.

[50]  Natalia Gimelshein,et al.  PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.

[51]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[52]  Simone Teufel,et al.  Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics , 2009, EMNLP.

[53]  Anna Visvizi,et al.  Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents , 2020, Inf. Process. Manag..

[54]  Lutz Bornmann,et al.  Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references , 2014, J. Assoc. Inf. Sci. Technol..

[55]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.

[56]  Cornelia Caragea,et al.  Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning , 2020, COLING.

[57]  Mari Ostendorf,et al.  Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction , 2018, EMNLP.

[58]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[59]  Saeed-Ul Hassan,et al.  Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications , 2019, Scientometrics.

[60]  Iryna Gurevych,et al.  Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging , 2017, EMNLP.

[61]  Hexiang Hu,et al.  Multi-Task Learning for Sequence Tagging: An Empirical Study , 2018, COLING.

[62]  Waleed Ammar,et al.  Structural Scaffolds for Citation Intent Classification in Scientific Publications , 2019, NAACL.

[63]  Diyi Yang,et al.  Hierarchical Attention Networks for Document Classification , 2016, NAACL.

[64]  Sebastian Ruder,et al.  Neural transfer learning for natural language processing , 2019 .

[65]  Dietrich Rebholz-Schuhmann,et al.  Automatic recognition of conceptualization zones in scientific articles and two life science applications , 2012, Bioinform..

[66]  Thomas Wolf,et al.  A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks , 2018, AAAI.

[67]  Vasudeva Varma,et al.  Summaformers @ LaySumm 20, LongSumm 20 , 2020, SDP.