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Found 8 papers, 3 papers with code
Annotating Arguments in a Corpus of Opinion Articles
Interest in argument mining has resulted in an increasing number of argument annotated corpora.
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?
We demonstrate the impact of our approach on an Argument Mining downstream task, evaluated on different corpora, showing that language models can be trained to automatically fill in discourse markers across different corpora, improving the performance of a downstream model in some, but not all, cases.
Complaint Analysis and Classification for Economic and Food Safety
Governmental institutions are employing artificial intelligence techniques to deal with their specific problems and exploit their huge amounts of both structured and unstructured information.
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings
Bias is ubiquitous in most online sources of natural language, from news media to social networks.
A Comparative Analysis of Unsupervised Language Adaptation Methods
Otherwise, sentence encoder alignment methods are very effective and can yield scores on the target language that are close to the source language scores.
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection
On the main task, our model achieved an accuracy of 71. 7{\%}, which was improved after the task{'}s end to 72. 9{\%}.
Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Argument mining aims to detect and identify argument structures from textual resources.
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
In this paper, we describe DeFactoNLP, the system we designed for the FEVER 2018 Shared Task.
