Argument mining dataset
Web7 apr 2024 · In this paper, we present M-Arg, a multimodal argument mining dataset with a corpus of US 2024 presidential debates, annotated through crowd-sourced annotations. This dataset allows models to be trained to extract arguments from natural dialogue such as … Web7 apr 2024 · In this work, we explore the potential of transfer learning using the multilingual BERT model to address argument mining tasks in non-English languages, based on …
Argument mining dataset
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Web11 apr 2024 · The dataset for this project can be found here. The following were the business questions I worked on to answer. Was there an unnatural occurrence in the sample collection process on 6.1.2024? Web23 apr 2024 · A novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure, which outperform unstructured baselines in both web comments and argumentative essay datasets. We propose a novel factor graph model for argument mining, designed for …
Web7 apr 2024 · In this paper, we present M-Arg, a multimodal argument mining dataset with a corpus of US 2024 presidential debates, annotated through crowd-sourced annotations. … Web15 apr 2024 · Mayer et al. use neural network-based architectures for argument mining in a dataset of abstracts of bio-chemical healthcare trials. They combine the boundary …
WebYes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates. ElecDeb60To16/Dataset • ACL 2024 We address this task in an empirical manner by … Webexisting argument mining datasets in English, col-lected by our colleagues as part of our work on Project Debater.2 One is a corpus of 30,497 ar-guments on 71 controversial …
Web14 nov 2024 · Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist …
Web13 ott 2024 · The growing interest in argument mining and computational argumentation brings with it a plethora of Natural Language Understanding (NLU) tasks and corresponding datasets. However, as with many other NLU tasks, the dominant language is English, with resources in other languages being few and far between. In this work, we explore the … tickfieldWeb24 ott 2024 · While previous work focused on dataset construction and baseline methods for specific document sections, such as abstract or results, full-text scholarly argumentation mining has seen little progress. tick ff14Web15 apr 2024 · Mayer et al. use neural network-based architectures for argument mining in a dataset of abstracts of bio-chemical healthcare trials. They combine the boundary detection and component classification tasks into one sequence tagging task. They use several static and dynamic embeddings such as BERT, GloVe, ELMo, ... tick fever research wacolWebA large-scale argument mining and summarization dataset. Abstract . Prior work in Argument Mining frequently alludes to its potential applications in automatic de-bating … the long drive spawner menu downloadWeblarge dataset named IAM, which can be ap-plied to a series of argument mining tasks, in-cluding claim extraction, stance classication, evidence extraction, etc. Our dataset is col … the long drive seed with new carWeb14 nov 2024 · Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply natural language processing techniques to problems found within competitive formal debate. To remedy this, we present the DebateSum dataset. DebateSum consists of … tick fever in humans symptomsWeb1 gen 2015 · Finally, to facilitate evaluation of transfer learning on argument mining tasks, we provide a human-generated dataset with more than 10k arguments in multiple languages, as well as machine ... tick field