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Robust Textual Inference using Diverse Knowledge Sources
Textual Inference Diverse Knowledge
2015/6/12
We present a machine learning approach to robust textual inference, in which parses of the text and the hypothesis sentences are used to measure their asymmetric “similarity”, and thereby to decide if...
Robust textual inference via learning and abductive reasoning
textual inference learning and abductive reasoning
2015/6/12
We present a system for textual inference (the task of inferring whether a sentence follows from another text) that uses learning and a logical-formula semantic representation of the text. More precis...
We present a system for deciding whether a given sentence can be inferred from text. Each sentence is represented as a directed graph (extracted from a dependency parser) in which the nodes represent ...
Aligning Semantic Graphs for Textual Inference and Machine Reading
Semantic Graphs Textual Inference Machine Reading
2015/6/12
This paper presents our work on textual inference and situates it within the context of the larger goals of machine reading. The textual inference task is to determine if the meaning of one text can b...
This paper presents the first use of a computational model of natural logic—a system of logical inference which operates over natural language—for textual inference. Most current approaches to the PAS...