ACL
2011
13 years 3 months ago
2011
The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event e...
ACL
2011
13 years 3 months ago
2011
Resolving polysemy and synonymy is required for high-quality information extraction. We present ConceptResolver, a component for the Never-Ending Language Learner (NELL) (Carlson ...
EMNLP
2010
13 years 9 months ago
2010
Event Anaphora Resolution is an important task for cascaded event template extraction and other NLP study. Previous study only touched on event pronoun resolution. In this paper, ...
PRL
2008
13 years 11 months ago
2008
We present a new model for detection of noun phrases in unrestricted text, whose most outstanding feature is its flexibility: the system is able to recognize noun phrases similar ...
ACL
1993
14 years 1 months ago
1993
The paper describes an algorithm that employs English and French text taggers to associate noun phrases in an aligned bilingual corpus. The taggets provide part-of-speech categori...
ACL
1998
14 years 1 months ago
1998
One of the major problems when translating from Japanese into a European language such as German or English is to determine definiteness of noun phrases in order to choose the cor...
NAACL
2003
14 years 1 months ago
2003
We propose a gold standard for evaluating two types of information extraction output -- noun phrase (NP) chunks (Abney 1991; Ramshaw and Marcus 1995) and technical terms (Justeson...
CLIN
2004
14 years 1 months ago
2004
This paper presents a machine learning approach to the resolution of coreferential relations between nominal constituents in Dutch. It is the first significant automatic approach ...
ACL
2006
14 years 1 months ago
2006
away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
IJCAI
2007
14 years 1 months ago
2007
In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment). Given the pattern V −NP1−P −NP2 in the text, where V is verb, NP1 is a ...