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ACL
2012
7 years 3 months ago
Text-level Discourse Parsing with Rich Linguistic Features
In this paper, we develop an RST-style textlevel discourse parser, based on the HILDA discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step b...
Vanessa Wei Feng, Graeme Hirst
ACL
2011
8 years 5 months ago
Improving Classification of Medical Assertions in Clinical Notes
We present an NLP system that classifies the assertion type of medical problems in clinical notes used for the Fourth i2b2/VA Challenge. Our classifier uses a variety of linguisti...
Youngjun Kim, Ellen Riloff, Stèphane M. Mey...
FLAIRS
2009
8 years 11 months ago
Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies
We evaluate conversational transcripts of deceptive speech using a sophisticated natural language processing tool called Coh-Metrix. Coh-Metrix is unique in that it tracks linguis...
Nicholas D. Duran, Scott A. Crossley, Charles Hall...
ACL
2010
8 years 11 months ago
Error Detection for Statistical Machine Translation Using Linguistic Features
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
Deyi Xiong, Min Zhang, Haizhou Li
BMCBI
2008
125views more  BMCBI 2008»
9 years 1 months ago
Disambiguation of biomedical text using diverse sources of information
Background: Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the aut...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas, D...
NAACL
2004
9 years 2 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
ACL
2004
9 years 2 months ago
FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification
We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds...
Riccardo Serafin, Barbara Di Eugenio
AIRWEB
2008
Springer
9 years 3 months ago
Exploring linguistic features for web spam detection: a preliminary study
We study the usability of linguistic features in the Web spam classification task. The features were computed on two Web spam corpora: Webspam-Uk2006 and Webspam-Uk2007, we make t...
Jakub Piskorski, Marcin Sydow, Dawid Weiss
FLAIRS
2010
9 years 3 months ago
Towards A Computational Assessment of Freewriting Quality
This study examines the linguistic features of freewrites and how those features relate to human scores of freewrite quality. Freewriting is a common prewriting strategy that has ...
Jennifer L. Weston, Scott A. Crossley, Danielle S....
SIGIR
2005
ACM
9 years 7 months ago
Linear discriminant model for information retrieval
This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate a...
Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun N...
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