This paper introduces the parallel Chinese-English Entities, Relations and Events (ERE) corpora developed by Linguistic Data Consortium under the DARPA Deep Exploration and Filtering of Text (DEFT) Program. Original Chinese newswire and discussion forum documents are annotated for two versions of the ERE task. The texts are manually translated into English and then annotated for the same ERE ta...

today’s world economy situation forces enterprise organizations toward more soft and flexible organization, management, and production processes. they need to explore the most suitable knowledge management (km) tool not only to identify gaps and overlaps but also to maintain and support innovation cross organizations. in this study, a multiple-experts-multiple-criteria decision making model is ...

In this paper, we present CogNet, a knowledge base (KB) dedicated to integrating three types of knowledge: (1) linguistic from FrameNet, which schematically describes situations, objects and events. (2) world YAGO, Freebase, DBpedia Wikidata, provides explicit about specific instances. (3) commonsense ConceptNet, implicit general facts. To model these different consistently, introduce three-lev...

The paper featuresMAVE, a knowledge-based system for answer validation through deep linguistic processing and logical inference. A relaxation loop is used to determine a robust indicator of logical entailment. The system not only validates answers directly, but also gathers evidence by proving the original question and comparing results with the answer candidate. This method boosts recall by up...

Linguistic Miner is a project carried out at ILC whose objective is the development of an integrated system to build, organise and manage a corpus of Italian texts (of various origins and formats), and to design and constantly add new tools for the automatic extraction of tiered linguistic knowledge to be made available for many teaching, publishing, and other cultural purposes. The project is ...