This volume brings together a collection of extended versions of selected papers from two
workshops on ontology learning, knowledge acquisition and related topics that were …

This paper introduces the BootCaT toolkit, a suite of perl programs implementing an iterative
procedure to bootstrap specialized corpora and terms from the web. The procedure requires …

We present a new approach to extracting keyphrases based on statistical language models.
Our approach is to use pointwise KL-divergence between multiple language models for …

Over the past few years, weblogs have emerged as a new communication and publication
medium on the Internet. In this paper, we describe the application of data mining, information …

As more electronic text is readily available, and more applications become knowledge
intensive and ontology-enabled, term extraction, also known as automatic term recognition …

Multiword expressions (MWEs) have been proved useful for many natural language
processing tasks. However, how to use them to improve performance of statistical machine …

Concepts are sequences of words that represent real or imaginary entities or ideas that
users are interested in. As a first step towards building a web of concepts that will form the …

This paper introduces a new method for identifying candidate phrasal terms (also known as
multiword units) which applies a nonparametric, rank-based heuristic measure. Evaluation …

In this paper we present a rule-based method for multi-word term extraction that relies on
extensive lexical resources in the form of electronic dictionaries and finite-state transducers …

Automatic aggregation of similar words into semantically related groups (or clusters) is of
interest to many natural language processing (NLP) applications. Extracting semantically …