This little book written for the "intelligent layman " will be read with much interest by all who are like Hamlet "fat and scant of breath." The author Major Austin has made fasting fashionable in Simla and the report we recently published (/. M. 6r., Sept., p. 369), of the meetiug of the Punjab Brauch of the 13. M. A. shows the views medical men are taking of the crusade. The book is divided i...

Feature norms can be regarded as repositories of common sense knowledge for basic level concepts. We acquire from very large corpora feature-norm-like concept descriptions using a combination of a weakly supervised method and an unsupervised method. The success in identifying the specific properties listed in the feature norms as well as the success in acquiring the classes of properties presen...

People s knowledge about the world comes from many sources, including fictional ones such as movies and novels. In three experiments, we investigated how people learn and integrate information from fictional sources with their general world knowledge. Subjects read a series of short stories that contained information about the real world. After a short delay, all participants took a general kno...

The research in this paper aims at using world knowledge to aid the user in retrieving information from the World Wide Web. Some issues are identified together with methods to address them.

Text-based games have emerged as an important test-bed for Reinforcement Learning (RL) research, requiring RL agents to combine grounded language understanding with sequential decision making. In this paper, we examine the problem of infusing commonsense knowledge. Such knowledge would allow efficiently act in world by pruning out implausible actions, and perform look-ahead planning determine h...

Reasoning is a critical ability towards complete visual understanding. To develop machine with cognition-level understanding and reasoning abilities, the commonsense (VCR) task has been introduced. In VCR, given challenging question about an image, must answer correctly then provide rationale justifying its answer. The methods adopting powerful BERT model as backbone for learning joint represen...

Understanding narratives requires reasoning about implicit world knowledge related to the causes, effects, and states of situations described in text. At core this challenge is how access contextually relevant on demand reason over it. In paper, we present initial studies toward zero-shot commonsense question answering by formulating task as inference dynamically generated graphs. contrast prev...

Parameter-driven simulations are an effective and efficient method for reasoning about a wide range of commonsense scenarios that can complement the use of logical formalizations. The advantage of simulation is its simplified knowledge elicitation process: rather than building complex logical formulae, simulations are constructed by simply selecting numerical values and graphical structures. In...

Building commonsense knowledge bases is a challenging undertaking. While we have witnessed the successful collection of large amounts of commonsense knowledge by either automatic text mining or games with a purpose (GWAP), such data are of limited precision. Verifying data is typically done with repetition, which works better for very large data sets. Our research proposes a novel approach to d...

We present an implemented model of story understanding and apply it to the understanding of a children’s story. We argue that understanding a story consists of building multirepresentation models of the story and that story models are efficiently constructed using a satisfiability solver. We present a computer program that contains multiple representations of commonsense knowledge, takes a narr...