Politically-oriented information inference from text

Politically Correct Information Adoption

This paper analyses the case when the political struggle not is channeled through policy choices, but through what information to adopt. The paper presents a simple model to analyze collective decisions of adopting new information when different parties' payoffs are contingent upon the new information. In equilibrium we demonstrate that the adopted information is biased towards “political corre...

Information Gain from Inference

An argument is made for a double implicational associative information frame, 〈S, , , →, ←〉 being a relevant structure insofar as the specification of the information gain from inference (IGfI) is concerned. A strong informational pluralism is adopted throughout. The rejection of the structural rules K, K′, W, WI, C and CI is justified on the basis of the identification, frequency, and order ...

Information Extraction from Text

DIRT – Discovery of Inference Rules from Text

In this paper, we propose an unsupervised method for discovering inference rules from text, such as “X is author of Y ≈ X wrote Y”, “X solved Y ≈ X found a solution to Y”, and “X caused Y ≈ Y is triggered by X”. Inference rules are extremely important in many fields such as natural language processing, information retrieval, and artificial intelligence in general. Our algorithm is based on an e...

Increased Information Leakage from Text

The enormous data sharing and data availability on the Internet provides opportunities for new services tailored to extract, search, aggregate, and mine data in meaningful ways, At the same time, it poses challenges with regards to data privacy. This paper offers insight into this problem, focusing on current relevant research and potential areas of synergy between the information retrieval com...