{"list":"other","total":59,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1902.00751","title":"Parameter-Efficient Transfer Learning for NLP","created":"2019-02-02","cited_by_count":4236},{"id":"1310.4546","title":"Distributed Representations of Words and Phrases and their Compositionality","created":"2013-10-16","cited_by_count":3474},{"id":"1704.05426","title":"A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference","created":"2017-04-18","cited_by_count":2682},{"id":"1508.05326","title":"A large annotated corpus for learning natural language inference","created":"2015-08-21","cited_by_count":1847},{"id":"1607.04606","title":"Enriching Word Vectors with Subword Information","created":"2016-07-15","cited_by_count":1583},{"id":"2004.10964","title":"Don't Stop Pretraining: Adapt Language Models to Domains and Tasks","created":"2020-04-23","cited_by_count":1565},{"id":"2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition and Applications","created":"2020-02-02","cited_by_count":643},{"id":"1906.02361","title":"Explain Yourself! Leveraging Language Models for Commonsense Reasoning","created":"2019-06-06","cited_by_count":367},{"id":"2005.00333","title":"XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning","created":"2020-05-01","cited_by_count":333},{"id":"2011.00620","title":"Social Chemistry 101: Learning to Reason about Social and Moral Norms","created":"2020-11-01","cited_by_count":255},{"id":"1907.07355","title":"Probing Neural Network Comprehension of Natural Language Arguments","created":"2019-07-17","cited_by_count":214},{"id":"1703.09902","title":"Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation","created":"2017-03-29","cited_by_count":206},{"id":"1602.01103","title":"Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions","created":"2016-02-02","cited_by_count":110},{"id":"1604.07370","title":"Parsing Argumentation Structures in Persuasive Essays","created":"2016-04-25","cited_by_count":101},{"id":"1601.02403","title":"Argumentation Mining in User-Generated Web Discourse","created":"2016-01-11","cited_by_count":69},{"id":"1911.11408","title":"A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis","created":"2019-11-26","cited_by_count":67},{"id":"2106.06937","title":"Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning","created":"2021-06-13","cited_by_count":65},{"id":"1802.05758","title":"Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks","created":"2018-02-15","cited_by_count":58},{"id":"1906.09821","title":"Classification and Clustering of Arguments with Contextualized Word Embeddings","created":"2019-06-24","cited_by_count":57},{"id":"2005.11787","title":"Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers","created":"2020-05-24","cited_by_count":57},{"id":"1708.01425","title":"The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants","created":"2017-08-04","cited_by_count":56},{"id":"1909.01007","title":"Automatic Argument Quality Assessment -- New Datasets and Methods","created":"2019-09-03","cited_by_count":47},{"id":"1606.02785","title":"Neural Network-Based Abstract Generation for Opinions and Arguments","created":"2016-06-09","cited_by_count":46},{"id":"1906.03717","title":"Argument Generation with Retrieval, Planning, and Realization","created":"2019-06-09","cited_by_count":45},{"id":"2005.00084","title":"Aspect-Controlled Neural Argument Generation","created":"2020-04-30","cited_by_count":43},{"id":"1704.06104","title":"Neural End-to-End Learning for Computational Argumentation Mining","created":"2017-04-20","cited_by_count":41},{"id":"1903.10104","title":"Argument Mining for Understanding Peer Reviews","created":"2019-03-25","cited_by_count":41},{"id":"2004.14677","title":"AMPERSAND: Argument Mining for PERSuAsive oNline Discussions","created":"2020-04-30","cited_by_count":39},{"id":"1704.06869","title":"Argument Mining with Structured SVMs and RNNs","created":"2017-04-23","cited_by_count":37},{"id":"1708.09085","title":"Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion","created":"2017-08-30","cited_by_count":35},{"id":"1805.10254","title":"Neural Argument Generation Augmented with Externally Retrieved Evidence","created":"2018-05-25","cited_by_count":34},{"id":"1802.06613","title":"Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation","created":"2018-02-19","cited_by_count":33},{"id":"1704.07203","title":"What is the Essence of a Claim? Cross-Domain Claim Identification","created":"2017-04-24","cited_by_count":32},{"id":"2010.05369","title":"Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis","created":"2020-10-11","cited_by_count":32},{"id":"1906.11301","title":"Exploring the Role of Prior Beliefs for Argument Persuasion","created":"2019-06-26","cited_by_count":31},{"id":"1907.08971","title":"Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network","created":"2019-07-21","cited_by_count":29},{"id":"1904.09688","title":"Fine-Grained Argument Unit Recognition and Classification","created":"2019-04-22","cited_by_count":26},{"id":"2010.03538","title":"Exploring the Role of Argument Structure in Online Debate Persuasion","created":"2020-10-07","cited_by_count":26},{"id":"1906.11310","title":"A Corpus for Modeling User and Language Effects in Argumentation on Online Debating","created":"2019-06-26","cited_by_count":23},{"id":"1909.00734","title":"Sentence-Level Content Planning and Style Specification for Neural Text Generation","created":"2019-09-02","cited_by_count":23},{"id":"2010.06432","title":"Multilingual Argument Mining: Datasets and Analysis","created":"2020-10-13","cited_by_count":20},{"id":"1806.02418","title":"Finding Convincing Arguments Using Scalable Bayesian Preference Learning","created":"2018-06-06","cited_by_count":17},{"id":"2006.00843","title":"Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing","created":"2020-06-01","cited_by_count":17},{"id":"1807.08998","title":"Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!","created":"2018-07-24","cited_by_count":16},{"id":"2010.06185","title":"The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation","created":"2020-10-13","cited_by_count":15},{"id":"2101.09765","title":"Belief-based Generation of Argumentative Claims","created":"2021-01-24","cited_by_count":14},{"id":"2101.10250","title":"Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale","created":"2021-01-25","cited_by_count":14},{"id":"2010.12473","title":"Intrinsic Quality Assessment of Arguments","created":"2020-10-23","cited_by_count":13},{"id":"1804.04083","title":"Multi-Task Learning for Argumentation Mining in Low-Resource Settings","created":"2018-04-11","cited_by_count":10},{"id":"1906.03338","title":"Dissecting Content and Context in Argumentative Relation Analysis","created":"2019-06-07","cited_by_count":10},{"id":"1908.08336","title":"Argument Invention from First Principles","created":"2019-08-22","cited_by_count":8},{"id":"1906.11313","title":"Determining Relative Argument Specificity and Stance for Complex Argumentative Structures","created":"2019-06-26","cited_by_count":7},{"id":"2010.03369","title":"Toward Stance-based Personas for Opinionated Dialogues","created":"2020-10-07","cited_by_count":6},{"id":"1909.03022","title":"Argument Component Classification for Classroom Discussions","created":"2019-09-06","cited_by_count":5},{"id":"2011.00633","title":"Aspect-Based Argument Mining","created":"2020-11-01","cited_by_count":5},{"id":"1809.00563","title":"End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture","created":"2018-09-03","cited_by_count":4},{"id":"1809.08145","title":"Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining","created":"2018-09-21","cited_by_count":3},{"id":"1906.10068","title":"Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation","created":"2019-06-24","cited_by_count":2}],"next_cursor":null}