Background Terminologies that account for variation in language use by linking synonyms
and abbreviations to their corresponding concept are important enablers of high-quality …

Phrase chunking is an important task in various natural language processing (NLP)
applications. This paper presents a neural phrase chunking for Urdu by training …

Background Free text is helpful for entering information into electronic health records, but
reusing it is a challenge. The need for language technology for processing Finnish and …

We describe and evaluate an incremental finite-state parser for Icelandic–the first parser
published for the language. Input to the parser is POS tagged text and it generates output …

In information extraction, it is useful to know if two signifiers have the same or very similar
semantic content. Maintaining such information in a controlled vocabulary is, however …

Clinicians express different levels of knowledge certainty when reasoning about a patient's
status. Automatic extraction of relevant information is crucial in the clinical setting, which …

Objective The ability of a cue-based system to accurately assert whether a disorder is
affirmed, negated, or uncertain is dependent, in part, on its cue lexicon. In this paper, we …

Faking Errors to Avoid Making Errors: Very Weakly Supervised Learning for Error Detection in
Writing Page 1 Introduction Our Method Evaluation Summary Faking Errors to Avoid Making …

Grammar errors and context-sensitive spelling errors in texts written by second language
learners are hard to detect automatically. We have used three different approaches for …

The large amounts of clinical data generated by electronic health record systems are an
underutilized resource, which, if tapped, has enormous potential to improve health care …