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--- nlp:legal_domain_nlp [2022/06/01 07:37] – jmflanig
+++ nlp:legal_domain_nlp [2024/06/28 03:25] (current) – [Papers] jmflanig
@@ Line 7: / Line 7: @@
 ===== Papers =====
-  * [[https://aclanthology.org/2020.findings-emnlp.261.pdf|Chalkidis et al 2020 - LEGAL-BERT: The Muppets straight out of Law School]]
-  * [[https://aclanthology.org/W19-2204.pdf|Sanchez 2019 - Sentence Boundary Detection in Legal Text]]
-  * **Legal Judgement and/or Charge Prediction**
-    * [[https://aclanthology.org/C18-1041.pdf|Hu et al 2018 - Few-Shot Charge Prediction with Discriminative Legal Attributes]]
-    * [[https://aclanthology.org/P19-1424.pdf|Chalkidis et al 2019 - Neural Legal Judgment Prediction in English]]
   * **Legal Document Classification**
     * [[https://aclanthology.org/D08-1046.pdf|Nallapati & Manning 2008 - Legal Docket Classification: Where Machine Learning Stumbles]]
     * [[https://aclanthology.org/2021.nllp-1.22.pdf|Limsopatham 2021 - Effectively Leveraging BERT for Legal Document Classification]]
+  * **Legal Assistance Systems**
+    * [[https://aclanthology.org/D19-3017.pdf|Wang et al 2019 - IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis]]
   * **Question Answering**
     * [[https://aclanthology.org/2021.nllp-1.11.pdf|Khazaeli et al 2021 - A Free Format Legal Question Answering System]]
@@ Line 21: / Line 18: @@
   * **Information Extraction on Legal Documents**
     * [[https://aclanthology.org/2020.coling-main.9.pdf|Shen et al 2020 - Hierarchical Chinese Legal Event Extraction via Pedal Attention Mechanism]]
-  * **Legal Assistance Systems**
+  * **Pre-processing and Pre-training**
-    * [[https://aclanthology.org/D19-3017.pdf|Wang et al 2019 - IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis]]
+    * [[https://aclanthology.org/2020.findings-emnlp.261.pdf|Chalkidis et al 2020 - LEGAL-BERT: The Muppets straight out of Law School]]
+    * [[https://aclanthology.org/W19-2204.pdf|Sanchez 2019 - Sentence Boundary Detection in Legal Text]]
+  * **Legal Judgement and/or Charge Prediction**
+    * [[https://aclanthology.org/C18-1041.pdf|Hu et al 2018 - Few-Shot Charge Prediction with Discriminative Legal Attributes]]
+    * [[https://aclanthology.org/P19-1424.pdf|Chalkidis et al 2019 - Neural Legal Judgment Prediction in English]]
+  * **Legal Analysis**
+    * [[https://aclanthology.org/N19-1135.pdf|Zufall et al 2019 - From Legal to Technical Concept: Towards An Automated Classification of German Political Twitter Postings as Criminal Offenses]] Automatically determines which Twitter posts may be deemed offenses under German law by leveraging the deductive approach of Roman law (the law system Germany uses).
+    * [[https://aclanthology.org/2021.findings-emnlp.164.pdf|Koreeda & Manning 2021 - ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts]]
   * **Ethics**
     * [[https://aclanthology.org/2021.findings-acl.314.pdf|Tsarapatsanis & Aletras 2021 - On the Ethical Limits of Natural Language Processing on Legal Text]]
+  * **Legal Expert**
+    * [[https://aclanthology.org/2024.findings-naacl.69.pdf|Kim et al 2024 - SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation
+for a Legal Expert Language Model]]
 ===== Datasets =====
-  * e American Law Corpus (ALC): 5.5M words
+See also [[https://sites.google.com/view/nllp/resources?authuser=0|NLLP 2020 - Datasets]].
+  * American Law Corpus (ALC): 5.5M words
   * The British Law Report Corpus (BLaRC): 8.5M words
   * Corpus of European Law: 1M words, En and De
@@ Line 37: / Line 46: @@
   * Legal-ES [[https://aclanthology.org/2020.lt4gov-1.6.pdf|paper]]
-===== Workshops and Conferences =====
+===== Workshops =====
+See also [[https://sites.google.com/view/nllp/resources?authuser=0#h.p_fcaN-a8Yw-y9|NLLP 2020 - Related Workshops]]
   * [[https://nllpw.org/|Natural Legal Language Processing Workshop (NLLP)]]: [[https://sites.google.com/view/nllp/nllp-2019|2019]] [[https://sites.google.com/view/nllp/home|2020]], Proceedings: [[https://aclanthology.org/volumes/W19-22/|2019]] [[https://aclanthology.org/volumes/2021.nllp-1/|2021]]