Learn More
This paper reports on a shared task involving the assignment of ICD-9-CM codes to radiology reports. Two features distinguished this task from previous shared tasks in the biomedical domain. One is that it resulted in the first freely distributable corpus of fully anonymized clinical text. This resource is permanently available and will (we hope) facilitate(More)
We describe an application of sentence alignment techniques and approximate string matching to the problem of extracting lexicographically interesting word-word pairs from multilingual corpora. Since our interest is in support systems for lexicographers rather than in fully automatic construction of lexicons, we would like to provide access to parameters(More)
We present the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual entailment. The task of giving feedback on student answers requires semantic inference and therefore is related to recognizing textual entailment. Thus, we offered to(More)
Levin’s (1993) study of verb classes is a widely used resource for lexical semantics. In her framework, some verbs, such as give, exhibit no class ambiguity. But other verbs, such as write, have several alternative classes. We extend Levin’s inventory to a simple statistical model of verb class ambiguity. Using this model we are able to generate preferences(More)
In SLE's approach to multilingual machine translation. [Whitelock, 1991, this conference] we envisage the process of sentence generation as beginning from a multiset or bag of richly structured lexical signs rather than from a conventional logical form or other underlying structure. The translation equivalences are stated between sets of lexical signs, with(More)
We describe an implementation in Carpenter's typed feature formalism, ALE, of a discourse grammar of the kind proposed by Scha, Polanyi, et al. We examine their method for resolving parallelism-dependent anaphora and show that there is a coherent feature-structural rendition of this type of grammar which uses the operations of prwrity union and(More)
The paper describes the application of kMeans, a standard clustering technique, to the task of inducing semantic classes for German verbs. Using probability distributions over verb subcategorisation frames, we obtained an intuitively plausible clustering of 57 verbs into 14 classes. The automatic clustering was evaluated against independently motivated,(More)