The easy-first non-directional dependency parser has demonstrated its advantage over transition based dependency parser which parses a sentence from left to right. This work investigates easy-first method on Chinese POS tagging, dependency parsing and joint tagging and dependency parsing. In particular, we generalize the easy-first dependency parsing algorithm to a general framework and apply t...

Tagging has been widely used and studied in various domains. Recently, people-tagging has emerged as a means to categorize contacts, and is also used in some social access control mechanisms. In this paper, we investigate whether there are differences between people-tagging and bookmark-tagging. We show that the way we tag documents about people, who we do not know personally, is similar to the...

Wikis as well as collaborative tagging have been subject of very intense research last years and active discussion topics in the so-called blogsphere as well. In this paper, we propose collaborative Wiki tagging based on the idea to exploit inherent semantics of the concept of link in Wiki. The low-level integration of Wiki and collaborative tagging of web resources is expected to be effective ...

INTRODUCTION: Magnetization tagging [1, 2] has been used to study regional myocardial motion. The development of high temporal and spatial resolution tagging imaging methods may permit the evaluation of regional activation and relaxation patterns in early systolic and diastolic phases. In this abstract, we present an approach to obtain high temporal and spatial resolution myocardial tagging dat...

Collaborative tagging systems (like Flickr, del.icio.us, citeulike, etc.) are becoming more popular with passage of time. Users share their resources on tagging systems, and add keywords (called tags) to these resources. Users can search resources using these tags. But as the user gives more tags for search, he might not get sufficient search results, because the resources might not be tagged w...

This paper investigates the utility of an unsupervised partof-speech (PoS) system in a task oriented way. We use PoS labels as features for different supervised NLP tasks: Word Sense Disambiguation, Named Entity Recognition and Chunking. Further we explore, how much supervised tagging can gain from unsupervised tagging. A comparative evaluation between variants of systems using standard PoS, un...

We consider the problem of part-of-speech tagging for informal, online conversational text. We systematically evaluate the use of large-scale unsupervised word clustering and new lexical features to improve tagging accuracy. With these features, our system achieves state-of-the-art tagging results on both Twitter and IRC POS tagging tasks; Twitter tagging is improved from 90% to 93% accuracy (m...

Disambiguation Yorick Wilks and Mark Stevenson Department of Computer Science, University of She eld, Regent Court, 211 Portobello Street, She eld S1 4DP, UK fyorick, [email protected] Abstract Sense tagging, the automatic assignment of the appropriate sense from some lexicon to each of the words in a text, is a specialised instance of the general problem of word sense disambiguation. We di...