Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization ACL-2020

Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks ACL-2020

Out of the Echo Chamber: Detecting Countering Debate Speeches ACL-2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ACL-2020

From Arguments to Key Points: Towards Automatic Argument Summarization ACL-2020

Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity ACL-2020

EVIDENCEMINER: Textual Evidence Discovery for Life Sciences ACL-2020

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts ACL-2019 WS-2019

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining ACL-2019 WS-2019

Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction ACL-2019

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ACL-2019

Data Set for Stance and Sentiment Analysis from User Comments on Croatian News ACL-2019 WS-2019

Automatic Argument Quality Assessment - New Datasets and Methods EMNLP-2019

On the role of discourse relations in persuasive texts ACL-2019 WS-2019

Automatic Detection and Classification of Argument Components using Multi-task Deep Neural Network WS-2019

Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains ACL-2019

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments EMNLP-2019

Annotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments ACL-2019

Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels ACL-2019 WS-2019

Argument Component Classification by Relation Identification by Neural Network and TextRank ACL-2019 WS-2019

A Cascade Model for Proposition Extraction in Argumentation ACL-2019 WS-2019

Computational Ad Hominem Detection ACL-2019

The Utility of Discourse Parsing Features for Predicting Argumentation Structure ACL-2019 WS-2019

Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates ACL-2019

Modeling Frames in Argumentation EMNLP-2019

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions EMNLP-2019

Lexicon Guided Attentive Neural Network Model for Argument Mining ACL-2019 WS-2019

IMHO Fine-Tuning Improves Claim Detection NAACL-2019

Argument Mining for Understanding Peer Reviews NAACL-2019

Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining ACL-2019 WS-2019

Probing Neural Network Comprehension of Natural Language Arguments ACL-2019

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set EMNLP-2019

Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection ACL-2019 WS-2019

Fixed That for You: Generating Contrastive Claims with Semantic Edits NAACL-2019

Advances in Argument Mining ACL-2019

Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective ACL-2019

The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data ACL-2019 WS-2019

Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation ACL-2019 WS-2019

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays ACL-2019 WS-2019

Reevaluating Argument Component Extraction in Low Resource Settings EMNLP-2019 WS-2019

Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms NAACL-2019

Categorizing Comparative Sentences ACL-2019 WS-2019

Argument Generation with Retrieval, Planning, and Realization ACL-2019

Argument Invention from First Principles ACL-2019

Determining Relative Argument Specificity and Stance for Complex Argumentative Structures ACL-2019

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion ACL-2019

Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates ACL-2019

An Empirical Study of Span Representations in Argumentation Structure Parsing ACL-2019

Detecting Argumentative Discourse Acts with Linguistic Alignment ACL-2019 WS-2019

Towards Assessing Argumentation Annotation - A First Step ACL-2019 WS-2019

Annotation of Rhetorical Moves in Biochemistry Articles ACL-2019 WS-2019

TRANSRW at SemEval-2018 Task 12: Transforming Semantic Representations for Argument Reasoning Comprehension *SEMEVAL-2018

SemEval-2018 Task 1: Affect in Tweets *SEMEVAL-2018

An Argument-Annotated Corpus of Scientific Publications EMNLP-2018 WS-2018

Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information CL-2018

Neural Argument Generation Augmented with Externally Retrieved Evidence ACL-2018

Retrieval of the Best Counterargument without Prior Topic Knowledge ACL-2018

Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays ACL-2018

Annotating Claims in the Vaccination Debate EMNLP-2018 WS-2018

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! COLING-2018

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ACL-2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL-2018

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection COLING-2018

More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing EMNLP-2018 WS-2018

A Recorded Debating Dataset LREC-2018

Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts EMNLP-2018 WS-2018

The Metalogue Debate Trainee Corpus: Data Collection and Annotations LREC-2018

Quantifying Qualitative Data for Understanding Controversial Issues LREC-2018

Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models EMNLP-2018

A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations LREC-2018

Modeling Deliberative Argumentation Strategies on Wikipedia ACL-2018

Intertextual Correspondence for Integrating Corpora LREC-2018

Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks EMNLP-2018

Cross-Lingual Argumentative Relation Identification: from English to Portuguese EMNLP-2018 WS-2018

Structured Representation Learning for Online Debate Stance Prediction COLING-2018

Multi-lingual Argumentative Corpora in English, Turkish, Greek, Albanian, Croatian, Serbian, Macedonian, Bulgarian, Romanian and Arabic LREC-2018

Creating Large-Scale Argumentation Structures for Dialogue Systems LREC-2018

Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines LREC-2018

SemEval-2018 Task 12: The Argument Reasoning Comprehension Task *SEMEVAL-2018

Argument Component Classification for Classroom Discussions EMNLP-2018 WS-2018

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining EMNLP-2018 WS-2018

End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture EMNLP-2018 WS-2018

Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates EMNLP-2018 WS-2018

Annotating Student Talk in Text-based Classroom Discussions BEA-2018 NAACL-2018 WS-2018

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning EMNLP-2018 WS-2018

Multi-Task Learning for Argumentation Mining in Low-Resource Settings NAACL-2018

Argumentation Synthesis following Rhetorical Strategies COLING-2018

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection EMNLP-2018 WS-2018

Argumentation Mining in User-Generated Web Discourse CL-2017

Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications CL-2017

Neural End-to-End Learning for Computational Argumentation Mining ACL-2017

Argument Mining with Structured SVMs and RNNs ACL-2017

Neural Discourse Structure for Text Categorization ACL-2017

Learning Lexico-Functional Patterns for First-Person Affect ACL-2017

Understanding and Detecting Supporting Arguments of Diverse Types ACL-2017

Word Embedding for Response-To-Text Assessment of Evidence ACL-2017

GRASP: Rich Patterns for Argumentation Mining EMNLP-2017

Here’s My Point: Joint Pointer Architecture for Argument Mining EMNLP-2017

Detecting Perspectives in Political Debates EMNLP-2017

What is the Essence of a Claim? Cross-Domain Claim Identification EMNLP-2017

WS

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ACL

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EMNLP

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ArgMining

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LREC

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COLING

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NAACL

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*SEMEVAL

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CL

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IJCNLP

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EACL

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SIGDIAL

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RANLP

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SocialNLP

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WASSA

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BEA

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NLP-TEA

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LAW

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