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ICASSP
2011
IEEE
8 years 3 months ago
Powerful extensions to CRFS for grapheme to phoneme conversion
Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversio...
Stefan Hahn, Patrick Lehnen, Hermann Ney
ICASSP
2011
IEEE
8 years 3 months ago
Discriminative duration modeling for speech recognition with segmental conditional random fields
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...
Justine T. Kao, Geoffrey Zweig, Patrick Nguyen
ICASSP
2011
IEEE
8 years 3 months ago
Incorporating alignments into Conditional Random Fields for grapheme to phoneme conversion
Conditional Random Fields (CRFs) are a state-of-the-art approach to natural language processing tasks like grapheme-tophoneme (g2p) conversion which is used to produce pronunciati...
Patrick Lehnen, Stefan Hahn, Andreas Guta, Hermann...
INTERSPEECH
2010
8 years 7 months ago
Efficient combined approach for named entity recognition in spoken language
We focus in this paper on the named entity recognition task in spoken data. The proposed approach investigates the use of various contexts of the words to improve recognition. Exp...
Azeddine Zidouni, Sophie Rosset, Hervé Glot...
IHI
2010
219views Healthcare» more  IHI 2010»
8 years 7 months ago
Conditional random fields for activity recognition in smart environments
One of the most common functions of smart environments is to monitor and assist older adults with their activities of daily living. Activity recognition is a key component in this...
Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, D...
COLING
2010
8 years 7 months ago
Kernel-based Reranking for Named-Entity Extraction
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
COLING
2010
8 years 7 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...
ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
8 years 9 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...
ICDAR
2009
IEEE
8 years 9 months ago
Online Handwritten Japanese Character String Recognition Using Conditional Random Fields
This paper describes an online handwritten Japanese character string recognition system based on conditional random fields, which integrates the information of character recogniti...
Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa
ICCPOL
2009
Springer
8 years 10 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
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