| Title | 
  Top-Performing Robust Constituency Parsing of Portuguese: Freely Available in as Many Ways as you Can Get it | 
  
  
  | Authors | 
  João Silva, António Branco and Patricia Gonçalves | 
  
  
  | Abstract | 
  In this paper we present LX-Parser, a probabilistic, robust constituency parser for Portuguese. This parser achieves ca. 88% f-score in the labeled bracketing task, thus reaching a state-of-the-art performance score that is in line with those that are currently obtained by top-ranking parsers for English, the most studied natural language.  To the best of our knowledge, LX-Parser is the first state-of-the-art, robust constituency parser for Portuguese that is made freely available.  This parser is being distributed in a variety of ways, each suited for a different type of usage. More specifically, LX-Parser is being made available (i) as a downloadable, stand-alone parsing tool that can be run locally by its users; (ii) as a Web service that exposes an interface that can be invoked remotely and transparently by client applications; and finally (iii) as an on-line parsing service, aimed at human users, that can be accessed through any common Web browser. | 
  
  
  | Topics | 
  Parsing, Web Services, Tools, systems, applications   | 
  
  
  Full paper  | 
  Top-Performing Robust Constituency Parsing of Portuguese: Freely Available in as Many Ways as you Can Get it | 
  
  
  Slides  | 
  - | 
  
  
  | Bibtex | 
  @InProceedings{SILVA10.136, 
   author =  {João Silva and António Branco and Patricia Gonçalves},    title =  {Top-Performing Robust Constituency Parsing of Portuguese: Freely Available in as Many Ways as you Can Get it},    booktitle =  {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},    year =  {2010},    month =  {may},    date =  {19-21},    address =  {Valletta, Malta},    editor =  {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},    publisher =  {European Language Resources Association (ELRA)},    isbn =  {2-9517408-6-7},    language =  {english}  }   |