Within the framework of Morpho Challenge 2009, we developed an unsupervised morphological analysis system based on formal analogies between words. After the evaluation campaign, we took time to correct some problems in our system and to analyze its main characteristics. This paper focusses on the knowledge we acquired during this post-mortem exercise. We hope this work will contribute to show t...

An approach to solving the problem of automatic briefing generation from non-textual events can be segmenting the task into two major steps, namely, extraction of briefing templates and learning aggregators that collate information from events and automatically fill up the templates. In this paper, we describe two novel unsupervised approaches for extracting briefing templates from human writte...

Organizations routinely accumulate semi-structured log datasets generated as the output of code; these datasets remain unused and uninterpreted, and occupy wasted space—this phenomenon has been colloquially referred to as “data lake” problem. One approach to leverage these semi-structured datasets is to convert them into a structured relational format, following which they can be analyzed in co...

This note is an accompaniment to my poster for my class project. Despite its seeming length, it attempts to be as brief as is reasonable, explaining the figures in greater detail and providing additional computational details most relevant to the subject of the course.

We present a novel unsupervised approach to detecting the compositionality of multi-word expressions. We compute the compositionality of a phrase through substituting the constituent words with their “neighbours” in a semantic vector space and averaging over the distance between the original phrase and the substituted neighbour phrases. Several methods of obtaining neighbours are presented. The...

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