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Violeta Seretan

dblp:93/223 · DBLP profile ↗
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13ranked-venue papers
8as first author
0since 2021 · last 2015
0000-0002-9199-9467ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 13 · 8 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Information extraction and text analysis · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Design research and methods · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › phrase extraction
collocation extraction
0.112006
Accurate Collocation Extraction Using a Multilingual Parser · ACL 2006
Design research and methods › user-centered design
user requirements
0.012007
User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation · ACL 2007
Natural language and speech › Information extraction and text analysis › syntactic parsing
multilingual parsing
0.012006
Accurate Collocation Extraction Using a Multilingual Parser · ACL 2006

Methods — techniques the papers use, named apart from their topics

query elicitation · 0.1statistical methods · 0.1multilingual parsing · 0.1pattern induction · 0.1
YearPublicationVenuePosition
2015 The ACCEPT Academic Portal: Bringing Together Pre-editing, MT and Post-editing into a Learning Environment
Pierrette Bouillon, Johanna Gerlach, Asheesh Gulati, Victoria Porro, Violeta Seretan
EAMT5
2014 A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation
Violeta Seretan, Pierrette Bouillon, Johanna Gerlach
LREC1
2012 Acquisition of Syntactic Simplification Rules for French
Violeta Seretan
LREC1
2010 A Recursive Treatment of Collocations
Luka Nerima, Eric Wehrli, Violeta Seretan
LREC3
2010 FipsRomanian: Towards a Romanian Version of the Fips Syntactic Parser
Violeta Seretan, Eric Wehrli, Luka Nerima, Gabriela Soare
LREC1
2009 Collocations in a Rule-Based MT System: A Case Study Evaluation of their Translation Adequacy
Eric Wehrli, Violeta Seretan, Luka Nerima, Lorenza Russo
EAMT2
2007 User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation
Vincenzo Pallotta, Violeta Seretan, Marita Ailomaa
ACL2
2006 Accurate Collocation Extraction Using a Multilingual Parser
abstract
This paper focuses on the use of advanced techniques of text analysis as support for collocation extraction. A hybrid system is presented that combines statistical methods and multilingual parsing for detecting accurate collocational information from English, French, Spanish and Italian corpora. The advantage of relying on full parsing over using a traditional window method (which ignores the syntactic information) is first theoretically motivated, then empirically validated by a comparative evaluation experiment.
Violeta Seretan, Eric Wehrli
ACL1
2005 Induction of Syntactic Collocation Patterns from Generic Syntactic Relations
Violeta Seretan
IJCAI1
2004 Using the Web as a Corpus for the Syntactic-Based Collocation Identification
Violeta Seretan, Luka Nerima, Eric Wehrli
LREC1
2003 Creating a multilingual collocations dictionary from large text corpora
Luka Nerima, Violeta Seretan, Eric Wehrli
EACL2
2003 Creating a multilingual collocations dictionary from large text corpora
Violeta Seretan
EACL1
2002 The Use of Referential Constraints in Structuring Discourse
Violeta Seretan, Dan Cristea
LREC1