There are situations where the information we need to retrieve from a set of documents is expressed in the form of arguments. Recent advances in argumentation mining pave the way for a new type of ranking that addresses such situations and can positively reduce the set of documents one needs to access in order to obtain a satisfactory overview of a given topic. We define and implement a proof-of-concept argumentative ranking prototype, to find that the results it provides can significantly differ from, and possibly improve, those returned by an argumentation-agnostic search engine.

Lippi, M., Sarti, P., Torroni, P. (2016). Argumentative Ranking.

Argumentative Ranking

LIPPI, MARCO;SARTI, PAOLO;TORRONI, PAOLO
2016

Abstract

There are situations where the information we need to retrieve from a set of documents is expressed in the form of arguments. Recent advances in argumentation mining pave the way for a new type of ranking that addresses such situations and can positively reduce the set of documents one needs to access in order to obtain a satisfactory overview of a given topic. We define and implement a proof-of-concept argumentative ranking prototype, to find that the results it provides can significantly differ from, and possibly improve, those returned by an argumentation-agnostic search engine.
2016
Natural Language Processing Meets Journalism, IJCAI 2016 Workshop
63
67
Lippi, M., Sarti, P., Torroni, P. (2016). Argumentative Ranking.
Lippi, Marco; Sarti, Paolo; Torroni, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/592280
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