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» Comparing a Linguistic and a Stochastic Tagger
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FLAIRS
2006
13 years 7 months ago
Constrained Lexical Attraction Models
Lexical Attraction Models (LAMs) were first introduced by Deniz Yuret in (Yuret 1998) to exemplify how an algorithm can learn word dependencies from raw text. His general thesis i...
Radu Ion, Verginica Barbu Mititelu
ACL
2003
13 years 7 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
CLEF
2011
Springer
12 years 6 months ago
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Document
Abstract. This paper presents a language-independent Multilingual Document Clustering (MDC) approach on comparable corpora. Named entites (NEs) such as persons, locations, organiza...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
COLING
2002
13 years 6 months ago
A Stochastic Parser Based on an SLM with Arboreal Context Trees
In this paper, we present a parser based on a stochastic structured language model (SLM) with a exible history reference mechanism. An SLM is an alternative to an n-gram model as...
Shinsuke Mori
WWW
2004
ACM
14 years 7 months ago
Is question answering an acquired skill?
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Par...