What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents
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[1] Balaji Vasan Srinivasan,et al. Agent-Specific Deontic Modality Detection in Legal Language , 2022, EMNLP.
[2] Matthias Grabmair,et al. Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance , 2022, EMNLP.
[3] Saif M. Mohammad,et al. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study , 2021, EACL.
[4] A. Shahina,et al. Summarization of Commercial Contracts , 2021, Machine Learning, IOT and Blockchain Technologies & Trends.
[5] Kripabandhu Ghosh,et al. Incorporating domain knowledge for extractive summarization of legal case documents , 2021, ICAIL.
[6] S. Naidu,et al. Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements , 2020, 2020 International Conference on Data Mining Workshops (ICDMW).
[7] Evangelos Kanoulas,et al. A Benchmark for Lease Contract Review , 2020, ArXiv.
[8] Ion Androutsopoulos,et al. LEGAL-BERT: “Preparing the Muppets for Court’” , 2020, FINDINGS.
[9] Ryan McDonald,et al. On Faithfulness and Factuality in Abstractive Summarization , 2020, ACL.
[10] Shinsuke Mori,et al. A Contract Corpus for Recognizing Rights and Obligations , 2020, LREC.
[11] Mark Cieliebak,et al. LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts , 2020, LREC.
[12] Teven Le Scao,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[13] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[14] Lu Wang,et al. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization , 2019, ACL.
[15] Mirella Lapata,et al. Sentence Centrality Revisited for Unsupervised Summarization , 2019, ACL.
[16] Junyi Jessy Li,et al. Plain English Summarization of Contracts , 2019, Proceedings of the Natural Legal Language Processing Workshop 2019.
[17] K. Suzanne Barber,et al. PrivacyCheck , 2018, ACM Trans. Internet Techn..
[18] Daniel Martin Katz,et al. LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts , 2018, Research Handbook on Big Data Law.
[19] Benjamin Van Durme,et al. Efficient Online Scalar Annotation with Bounded Support , 2018, ACL.
[20] Balaji Vasan Srinivasan,et al. Generating Topic-Oriented Summaries Using Neural Attention , 2018, NAACL.
[21] Ion Androutsopoulos,et al. Obligation and Prohibition Extraction Using Hierarchical RNNs , 2018, ACL.
[22] Mor Naaman,et al. Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies , 2018, NAACL.
[23] Shinsaku Kiyomoto,et al. PrivacyGuide: Towards an Implementation of the EU GDPR on Internet Privacy Policy Evaluation , 2018, IWSPA@CODASPY.
[24] Mirella Lapata,et al. Ranking Sentences for Extractive Summarization with Reinforcement Learning , 2018, NAACL.
[25] Furu Wei,et al. Faithful to the Original: Fact Aware Neural Abstractive Summarization , 2017, AAAI.
[26] Saif Mohammad,et al. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation , 2017, ACL.
[27] Paul Buitelaar,et al. Classifying sentential modality in legal language: a use case in financial regulations, acts and directives , 2017, ICAIL.
[28] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[29] Mirella Lapata,et al. Neural Extractive Summarization with Side Information , 2017, ArXiv.
[30] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[31] Aleksandra Matulewska,et al. DEONTIC MODALITY AND MODALS IN THE LANGUAGE OF CONTRACTS , 2017 .
[32] Ruihong Huang,et al. CaseSummarizer: A System for Automated Summarization of Legal Texts , 2016, COLING.
[33] Serena Villata,et al. Combining NLP Approaches for Rule Extraction from Legal Documents , 2016 .
[34] Bowen Zhou,et al. SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents , 2016, AAAI.
[35] Martin Wattenberg,et al. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation , 2016, TACL.
[36] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[37] Alexander M. Rush,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[38] A. Marley,et al. Best-worst scaling: theory and methods , 2014 .
[39] Matt Post,et al. Efficient Elicitation of Annotations for Human Evaluation of Machine Translation , 2014, WMT@ACL.
[40] David B. Bracewell,et al. The Author Perspective Model for Classifying Deontic Modality in Events , 2014, FLAIRS.
[41] Guido Governatori,et al. OASIS LegalRuleML , 2013, ICAIL.
[42] Paul Compton,et al. Combining Different Summarization Techniques for Legal Text , 2012 .
[43] Ferda Nur Alpaslan,et al. Text summarization using Latent Semantic Analysis , 2011, J. Inf. Sci..
[44] Achim G. Hoffmann,et al. LEXA: Towards Automatic Legal Citation Classification , 2010, Australasian Conference on Artificial Intelligence.
[45] Rada Mihalcea,et al. TextRank: Bringing Order into Text , 2004, EMNLP.
[46] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..
[47] Robert G. Malkin,et al. Automatic summarization of English broadcast news speech , 2002 .
[48] Eduard H. Hovy,et al. The Automated Acquisition of Topic Signatures for Text Summarization , 2000, COLING.
[49] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[50] R. A. Bradley,et al. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS THE METHOD OF PAIRED COMPARISONS , 1952 .
[51] L. Cronbach. Coefficient alpha and the internal structure of tests , 1951 .
[52] M. W. Richardson,et al. The theory of the estimation of test reliability , 1937 .
[53] Moniba Keymanesh,et al. Toward Domain-Guided Controllable Summarization of Privacy Policies , 2020, NLLP@KDD.
[54] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[55] Wim Peters,et al. Legal Text Interpretation: Identifying Hohfeldian Relations from Text , 2016, LREC.
[56] Rico Sennrich,et al. Controlling Politeness in Neural Machine Translation via Side Constraints , 2016, NAACL.
[57] Min-Yen Kan,et al. Overview of the CL-SciSumm 2016 Shared Task , 2016, BIRNDL@JCDL.
[58] Wim Peters,et al. On Rule Extraction from Regulations , 2011, JURIX.
[59] B. Orme. MaxDiff Analysis : Simple Counting , Individual-Level Logit , and HB , 2009 .
[60] R. A. Bradley,et al. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS , 1952 .