Computational Linguistics (CL) has attracted more and more interest in both academic and industry communities in recent years, since it plays an essential role in many Internet applications, including search engines, online translation systems, social networks, and so forth. Almost all CL techniques, ranging from morphological, syntactic, and semantic analysis of texts, to question answering, m...

Cluster analysis is the name for a group of multivariate techniques whose primary purpose is to group objects based on the characteristics they possess. Clustering has been applied in many contexts and by researchers in many disciplines. This reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. In this thesis I explore cluster analysis as a means to investi...

The BioNLP Shared Task 2011, an information extraction task held over 6 months up to March 2011, met with community-wide participation, receiving 46 final submissions from 24 teams. Five main tasks and three supporting tasks were arranged, and their results show advances in the state of the art in fine-grained biomedical domain information extraction and demonstrate that extraction methods succ...

This is a collection of excellent papers from a workshop, chaired by the editors, held in Lugano at IDSIA, an institute of the Dalle Molle Foundation. I believe the workshop was held in September 1988, but the book is not explicit. The "formal semantics" (FS) of the title refers to the theories of NL meaning derived from model theory and in standard use in theoretical linguistics. The title (an...

We introduce a notion of training methodology space (TM space) for specifying training methodologies in tile different disciplines and teaching traditions associated with computational linguistics and the human language technologies, and pin our approach to the concept of operational model; we also discuss different general levels of interactivity. A number of operational models are introduced,...

Models of the acquisition of word segmentation are typically evaluated using phonemically transcribed corpora. Accordingly, they implicitly assume that children know how to undo phonetic variation when they learn to extract words from speech. Moreover, whereas models of language acquisition should perform similarly across languages, evaluation is often limited to English samples. Using child-di...

The exponential growth of the subjective information in the framework of the Web 2.0 has led to the need to create Natural Language Processing tools able to analyse and process such data for multiple practical applications. They require training on specifically annotated corpora, whose level of detail must be fine enough to capture the phenomena involved. This paper presents EmotiBlog – a fineg...

Format tags implicitly represent content information in the same ambiguous, context dependent manner that words represent semantics in natural language. Translation from format to content markup shares many characteristics with tagging and parsing tasks in computational linguistics. The transformation-based learning (TBL) paradigm has recently been applied to numerous computational linguistics ...