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Argument Mining
AMICA: An Argumentative Search Engine for COVID-19 Literature
AMICA ranks COVID-19 papers by query relevance and by richness in claims and evidence, and its ranking agrees with expert opinion.
Marco Lippi
,
Francesco Antici
,
Gianfranco Brambilla
,
Evaristo Cisbani
,
Andrea Galassi
,
Daniele Giansanti
,
Fabio Magurano
,
Antonella Rosi
,
Federico Ruggeri
,
Paolo Torroni
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DOI
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Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence
An argument mining tool scores how much COVID-19 papers argue, and these scores agree fairly to moderately with Cochrane decisions and expert reviewers.
Gianfranco Brambilla
,
Antonella Rosi
,
Francesco Antici
,
Andrea Galassi
,
Daniele Giansanti
,
Fabio Magurano
,
Federico Ruggeri
,
Paolo Torroni
,
Evaristo Cisbani
,
Marco Lippi
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DOI
URL
Detecting Arguments in CJEU Decisions on Fiscal State Aid
Demosthenes is a corpus of 40 EU Court of Justice decisions on fiscal state aid, annotated with premises, conclusions, and legal argument schemes.
Giulia Grundler
,
Piera Santin
,
Andrea Galassi
,
Federico Galli
,
Francesco Godano
,
Francesca Lagioia
,
Elena Palmieri
,
Federico Ruggeri
,
Giovanni Sartor
,
Paolo Torroni
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URL
Tree-Constrained Graph Neural Networks For Argument Mining
TC-GNN constrains graph pooling to pick out tree-kernel fragments of a sentence parse, and uses them to detect claims and premises across four corpora.
Federico Ruggeri
,
Marco Lippi
,
Paolo Torroni
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URL
Investigating logic tensor networks for neural-symbolic argument mining
Logic Tensor Networks train argument mining models to fit the data and satisfy domain rules, which improves classification, rule compliance, and robustness on scientific abstracts.
Andrea Galassi
,
Marco Lippi
,
Paolo Torroni
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Argument Mining on Clinical Trials
Tobias Mayer
,
Elena Cabrio
,
Marco Lippi
,
Paolo Torroni
,
Serena Villata
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DOI
Argument Mining from Speech: Detecting Claims in Political Debates
The first system that detects claims in spoken political debates shows that voice features from the audio can improve text-based claim detection.
Marco Lippi
,
Paolo Torroni
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Argument Mining: A Machine Learning Perspective
Argument mining has recently become a hot topic, attracting the interests of several and diverse research communities, ranging from …
Marco Lippi
,
Paolo Torroni
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DOI
Context-Independent Claim Detection for Argument Mining
A tree kernel over parse trees spots sentences that contain claims without knowing the topic, and performs comparably to systems that rely on topic knowledge.
Marco Lippi
,
Paolo Torroni
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