Translating news to CycL using the XLE parser

We built a pipeline for translating text into logical representation, which falls in the category of Machine Reading (MR). The essential component of the pipeline and our main contribution is the non-probabilistic rule-based framework. Other components are: syntatic parser, XLE, to extract gramamtical features from text, Enrycher, for additional natural language processing, and Cyc for semantic resources, reasoning, and its language CycL to respresent the translated knowledge. We defined and implemented several rules on the framework. We evaluated them on business news. In the discussion we identified several challenges in MR. Prevajanje novic v jezik CycL s pomočjo razčlenjevalnika XLE Zgradili smo cevovod za prevajanje besdila v logično predstavitev. Naše delo spada v področje strojnega branja. Glavna komponenta cevovoda in naš glavni prispevek je neprobabilistično programsko ogrodje, ki temelji na pravilih. Ostale komponente so: XLE – sintaktični razčlenjevalnik, Enrycher – storitev za procesiranje naravenega jezika in Cyc – semantični vir ter avtomatski pojasnjevalnik. Za predstavitev prevedenega znanja smo uporabili jezik CycL. Na programskem ogrodju smo definirali in implementirali nekaj pravil. Ocenili smo, kako prevajajo besedila iz poslovnih novic. V zaključku smo odkrili številne izzive v strojnem branju.