[PDF] Top 20 Reasoning about Quantities in Natural Language

... The need to identify sub-problems of textual inference, in the context of the RTE task, has been motivated by (Sammons et al., 2010). Quantity Entailment can be considered as one such step. Since we envision that our QE ... See full document

... Although the presented case study cannot be considered as an evaluation of our approach, it gives an interesting in- sight to the practical aspects of applying frame relations to natural language ... See full document

... This test set is created from the CNN corpus (Her- mann et al., 2015) of news articles with abstrac- tive summaries. We identify summary points with quantities, filtering out temporal expressions. For a summary ... See full document

... multi-hop reasoning (Welbl et ...of natural language by learning word and sentence-level representa- tions from ...the reasoning steps leading to an answer and interpreting the model ... See full document

... We introduce the Cornell Natural Language Vi- sual Reasoning dataset and task. The data in- cludes complex compositional language grounded in images and structured representations. The task ... See full document

... Default Reasoning in Natural Language Processing Default Reasoning in Natural Language Processing l i d Z E R N I K Artificial Intelligence P r o g r a m G E , Research and D e v e l o p m e n t C e n[.] ... See full document

... dence to ImageNet synsets allows researchers to use pre-trained image featurization models, and focuses the challenges of the task not on object de- tection, but compositional reasoning challenges. ImageNet ... See full document

... using knowledge about durations and as- pectual classes o f events, determine the as- pectual perspective o f the new sentence and the position o f the temporal focus;.. using knowledge [r] ... See full document

... study natural language inference based on the formal semantics in modern type theories (MTTs) and their implementations in proof-assistants such as ...logical language in which natural lan- ... See full document

... abductive reasoning system (from Chapter 3) to consume raw text as input ...of reasoning, as captured by our semantic graphs and the ILP formulation of support graph search over ... See full document

... In its diagnostic capabilities the presented approach shows a strong analogy to the basic concepts usually applied within a system of Automated Reasoning: a hypothesis is verified to be [r] ... See full document

... 9.1 Knowledge Acquisition Bottleneck The primary reason knowledge-based systems went out of vogue for natural language processing is because of the knowledge acquisition bottleneck. In this work, the types ... See full document

... large quantities of natural language text and detects lexical or linguistic usage patterns in an attempt to extract (probably) useful information from unstructured textual data through the ... See full document

... accept natural language expressions of defeasible rules which are then provided to a defeasible reasoning en- ...ACE language, then pipe the se- mantic representation to an implementation of ... See full document

... One can intuitively differentiate the senses of employ in sentences (a) and (b) with the complements of each employ. To be more precise, employ in (a) restricts its subject and object nouns to those associated with the ... See full document

... Visual reasoning with compositional natu- ral language instructions, ...Cornell Natural Language Vi- sual Reasoning (NLVR) dataset, is a challeng- ing task, where the model needs to ... See full document

... map natural language to symbolic representations of ...of natural language and support complex reasoning, but often fail in practice due to their reliance on log- ical background ... See full document

... Initially, there is a primary philosophical text we would like to interpret. A human expert might very carefully read the text in the traditional manner and provide us with an interpretation thereof. This interpretation ... See full document

... After a short discus sion of the peculiarities of this application, which requires both natural language understanding and reasoning capabilities, the general architecture and fundamenta[r] ... See full document

... and language are ...and language is the idea that the biological world unfolds as a part of a pre- scribed ...ideas about how nature should ...teleological reasoning may have evolutionary ... See full document