A comparison of co-occurrence and similarity measures as simulations of context

Like the title says, several possible measures of word co-occurrence and distributional similarity are compared in a systematic way with each other and on large data. The quality differences were found be quite strong. (2008)

Representation of the verb’s argument-structure in the human brain

A verb’s argument structure defines the number and relationships of participants needed for a complete event. One-argument (intransitive) verbs require only a subject to make a complete sentence, while two- and three-argument verbs (transitives and ditransitives) normally take direct and indirect objects. In this MEG study, we scrutinised the neuro-magnetic brain response to different argument structures.

BMC Neuroscience 2008, 9:69 doi:10.1186/1471-2202-9-69

UnsuParse: Unsupervised Parsing with unsupervised Part of Speech tagging.

The approach presented in this paper applies unsupervised syntactic parsing and language-independant statistical relation extraction on noisy data. A taxonomy is used to abstract away from the language-dependent word level to language-independent concepts and thus, this apprach can be adapted to new languages / domains without huge manual effort regarding the relation extraction approach.

Hänig, C., Bordag, S. und Quasthoff, U.: UnsuParse: Unsupervised Parsing with unsupervised Part of Speech tagging. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC 2008), 2008

Unsupervised and knowledge-free morpheme segmentation and analysis

An algorithm is described which can analyse the morphological structure of words without knowing anything about the language in advance. Hence, it is a completely unsupervised approach and it produced decent numbers in the Morphochallenge competition. (2008)