Flexible Interfaces in the Application of Language Technology to an eScience Corpus

A vacuum operated dental high volume evacuation system is provided wherein an extraction instrument is connected to a debris collector for solids which in turn is connected to a separator unit wherein the liquid in the evacuated material is separated from the vacuum air and the dry vacuum air is directed to the vacuum source unit which creates the vacuum for the system. The separator unit includes a vacuum chamber positioned above a drainage chamber with a valve disposed therebetween. The drainage chamber is normally maintained at atmospheric pressure and the valve is normally closed due to the pressure differential between the two chambers. A liquid level sensor is provided in the vacuum chamber to sense the rise of liquid therein which upon reaching a certain level trips the sensor which results in an equalization of vacuum pressure between the two chambers and the draining of the liquid in the vacuum chamber into the drainage chamber. Upon the deactivation of the liquid level sensor, the drainage chamber is returned to atmospheric pressure and the valve between the two chambers closed as a result of the pressure differential.

[1]  Simone Teufel,et al.  Sentence extraction as a classification task , 1997 .

[2]  Peter Murray-Rust,et al.  High-Throughput Identification of Chemistry in Life Science Texts , 2006, CompLife.

[3]  Simone Teufel,et al.  Collection and linguistic processing of a large-scale corpus of medical articles , 2002, LREC.

[4]  Tobias Ruland,et al.  Making the most of multiplicity: a multi-parser multi-strategy architecture for the robust processing of spoken language , 1998, ICSLP.

[5]  Simone Teufel,et al.  Language Technology for Processing Chemistry Publications , 2005 .

[6]  Andreas Eisele,et al.  The DeepThought Core Architecture Framework , 2004, LREC.

[7]  Ann A. Copestake,et al.  A Standoff Annotation Interface between DELPH-IN Components , 2006, NLPXML@EACL.

[8]  Ulrich Schäfer,et al.  Preprocessing and Tokenisation Standards in DELPH-IN Tools , 2006, LREC.

[9]  Wolfgang Wahlster,et al.  Verbmobil: Foundations of Speech-to-Speech Translation , 2000, Artificial Intelligence.

[10]  Éric Villemonte de la Clergerie,et al.  MAF: a Morphosyntactic Annotation Framework , 2005 .

[11]  Ted Briscoe,et al.  Robust Accurate Statistical Annotation of General Text , 2002, LREC.

[12]  Dan Flickinger,et al.  An Open Source Grammar Development Environment and Broad-coverage English Grammar Using HPSG , 2000, LREC.

[13]  Jörg Spilker,et al.  Combining Analyses from Various Parsers , 2000 .

[14]  Simone Teufel,et al.  Argumentative zoning information extraction from scientific text , 1999 .

[15]  Dan Tidhar,et al.  Retrieving Hierarchical Text Structure from Typeset Scientific Articles – a Prerequisite for E-Science Text Mining , 2005 .