We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly quantifies similarity rather than association or relatedness so that pairs of entities that are associated but not actually similar (Freud, psychology) have a l...

4 Sales delay is the time interval from the date of manufacture to the date of sale. In analysing 5 warranty claims data, the existing research relating to the sales delay has mainly focused 6 on estimating the probability distribution of the sales delay. Longer sales delay may lead 7 to more warranty claims as it can have an impact on the post-sale reliability of products. 8 However, research ...

In this paper, a variety of techniques for robust digit recognition in noise are considered using the AURORA 2.0 corpus. Current recognizers perform as well as humans in small vocabulary tasks but computer recognition performance degrades substantially when noise is introduced into the speech, while human performance is much less sensitive. To make the recognizer robust, several methodologies a...

The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The problem is difficult, with disagreement regarding the number and nature of the relations, low inter-annotator agreement, and limited annotated data. In this paper, we present a novel taxonomy of relations that integrates p...

Machine learning algorithms are everywhere, ranging from simple data analysis and pattern recognition tools used across the sciences to complex systems that achieve super-human performance on various tasks. Ensuring that they are well-behaved— that they do not, for example, cause harm to humans or act in a racist or sexist way—is therefore not a hypothetical problem to be dealt with in the futu...

This tutorial has two purposes: (i) it provides an example of a computational model that emulates what human beings see in natural environments, and (ii) it explains why, as well as how, each computation can be done. © 2012 Elsevier Inc. All rights reserved.

We propose a methodology for using human cognition as a template for artificial generally intelligent agents that learn from experience. In particular, we consider the problem of learning certain Mealy machines from observations of their behavior; this is a general but conceptually simple learning task that can be given to humans as well as machines. We illustrate by example the sorts of observ...

We present an investigation of segments that map to GLOBAL LIES, that is, the intent to deceive with respect to salient topics of the discourse. We propose that identifying the truth or falsity of these CRITICAL SEGMENTS may be important in determining a speaker’s veracity over the larger topic of discourse. Further, answers to key questions, which can be identified a priori, may represent emot...

Error analysis is a means to assess machine translation output in qualitative terms, which can be used as a basis for the generation of error profiles for different systems. As for other subjective approaches to evaluation it runs the risk of low inter-annotator agreement, but very often in papers applying error analysis to MT, this aspect is not even discussed. In this paper, we report results...

The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of interdigitation, whereby two morphemes, a root and a pattern, are interwoven. Identifying the root of a given word in a Semitic language is an important task, in some cases a crucial part of morphological analysis. It is also a non-trivial task, which ...