Using HFST - Helsinki Finite-State Technology for Recognizing Semantic Frames

To recognize semantic frames in languages with a rich morphology, we need computational morphology. In this paper, we look at one particular framework, HFST–Helsinki Finite-State Technology, and how to use it for recognizing semantic frames in context. HFST enables tokenization, morphological analysis, tagging, and frame annotation in one single framework.

[1]  Lauri Carlson,et al.  FinnWordNet - WordNet på finska via översättning , 2010 .

[2]  Christopher Joseph Pal,et al.  Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[3]  Thorsten Brants,et al.  TnT – A Statistical Part-of-Speech Tagger , 2000, ANLP.

[4]  Tommi A. Pirinen,et al.  HFST Tools for Morphology - An Efficient Open-Source Package for Construction of Morphological Analyzers , 2009, SFCM.

[5]  Michael Piotrowski,et al.  Systems and Frameworks for Computational Morphology , 2015, Communications in Computer and Information Science.

[6]  Tommi A. Pirinen,et al.  HFST - Framework for Compiling and Applying Morphologies , 2011, SFCM.

[7]  Tommi A. Pirinen,et al.  HFST - A System for Creating NLP Tools , 2013, SFCM.

[8]  Yang Guo,et al.  Structured Perceptron with Inexact Search , 2012, NAACL.

[9]  Richard Johansson,et al.  LTH: Semantic Structure Extraction using Nonprojective Dependency Trees , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).

[10]  Mikko Kurimo,et al.  Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy , 2014, ACL.

[11]  Krister Lindén,et al.  Extracting Semantic Frames using hfst-pmatch , 2015, NODALIDA.

[12]  Lars Borin,et al.  HFST-SweNER — A New NER Resource for Swedish , 2014, LREC.

[13]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[14]  Mikko Kurimo,et al.  FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish , 2015, Language Resources and Evaluation.

[15]  Noah A. Smith,et al.  Frame-Semantic Parsing , 2014, CL.

[16]  Michael Collins,et al.  Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms , 2002, EMNLP.

[17]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[18]  C. Fillmore.  FRAME SEMANTICS AND THE NATURE OF LANGUAGE * , 1976 .

[19]  Josef van Genabith,et al.  Learning Morphology with Morfette , 2008, LREC.

[20]  Lauri Karttunen.  Beyond Morphology: Pattern Matching with FST , 2011, SFCM.