Frédérique Segond

Also published as: Frederique Segond


2016

pdf bib
Encoding Adjective Scales for Fine-grained Resources
Cédric Lopez | Frédérique Segond | Christiane Fellbaum
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We propose an automatic approach towards determining the relative location of adjectives on a common scale based on their strength. We focus on adjectives expressing different degrees of goodness occurring in French product (perfumes) reviews. Using morphosyntactic patterns, we extract from the reviews short phrases consisting of a noun that encodes a particular aspect of the perfume and an adjective modifying that noun. We then associate each such n-gram with the corresponding product aspect and its related star rating. Next, based on the star scores, we generate adjective scales reflecting the relative strength of specific adjectives associated with a shared attribute of the product. An automatic ordering of the adjectives “correct” (correct), “sympa” (nice), “bon” (good) and “excellent” (excellent) according to their score in our resource is consistent with an intuitive scale based on human judgments. Our long-term objective is to generate different adjective scales in an empirical manner, which could allow the enrichment of lexical resources.

pdf bib
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning
Ioannis Partalas | Cédric Lopez | Frédérique Segond
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Posters)

Comparing Named-Entity Recognizers in a Targeted Domain : Handcrafted Rules vs. Machine Learning Named-Entity Recognition concerns the classification of textual objects in a predefined set of categories such as persons, organizations, and localizations. While Named-Entity Recognition is well studied since 20 years, the application to specialized domains still poses challenges for current systems. We developed a rule-based system and two machine learning approaches to tackle the same task : recognition of product names, brand names, etc., in the domain of Cosmetics, for French. Our systems can thus be compared under ideal conditions. In this paper, we introduce both systems and we compare them.

2015

pdf bib
Un système expert fondé sur une analyse sémantique pour l’identification de menaces d’ordre biologique
Cédric Lopez | Aleksandra Ponomareva | Cécile Robin | André Bittar | Xabier Larrucea | Frédérique Segond | Marie-Hélène Metzger
Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Démonstrations

Le projet européen TIER (Integrated strategy for CBRN – Chemical, Biological, Radiological and Nuclear – Threat Identification and Emergency Response) vise à intégrer une stratégie complète et intégrée pour la réponse d’urgence dans un contexte de dangers biologiques, chimiques, radiologiques, nucléaires, ou liés aux explosifs, basée sur l’identification des menaces et d’évaluation des risques. Dans cet article, nous nous focalisons sur les risques biologiques. Nous présentons notre système expert fondé sur une analyse sémantique, permettant l’extraction de données structurées à partir de données non structurées dans le but de raisonner.

2014

pdf bib
Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain.
Cédric Lopez | Frédérique Segond | Olivier Hondermarck | Paolo Curtoni | Luca Dini
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Named Entity Recognition task needs high-quality and large-scale resources. In this paper, we present RENCO, a based-rules system focused on the recognition of entities in the Cosmetic domain (brandnames, product names, …). RENCO has two main objectives: 1) Generating resources for named entity recognition; 2) Mining new named entities relying on the previous generated resources. In order to build lexical resources for the cosmetic domain, we propose a system based on local lexico-syntactic rules complemented by a learning module. As the outcome of the system, we generate both a simple lexicon and a structured lexicon. Results of the evaluation show that even if RENCO outperforms a classic Conditional Random Fields algorithm, both systems should combine their respective strengths.

2012

pdf bib
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Frédérique Segond
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

pdf bib
Query log analysis with LangLog
Marco Trevisan | Eduard Barbu | Igor Barsanti | Luca Dini | Nikolaos Lagos | Frédérique Segond | Mathieu Rhulmann | Ed Vald
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

2011

pdf bib
Architecture and Systems for Monitoring Hospital Acquired Infections inside Hospital Information Workflows
Denys Proux | Caroline Hagège | Quentin Gicquel | Suzanne Pereira | Stefan Darmoni | Frédérique Segond | Marie-Hélène Metzger
Proceedings of the Second Workshop on Biomedical Natural Language Processing

2009

pdf bib
Natural Language Processing to Detect Risk Patterns Related to Hospital Acquired Infections
Denys Proux | Pierre Marchal | Frédérique Segond | Ivan Kergourlay | Stéfan Darmoni | Suzanne Pereira | Quentin Gicquel | Marie-Hélène Metzger
Proceedings of the Workshop on Biomedical Information Extraction

2005

pdf bib
Situational Language Training for Hotel Receptionists
Frédérique Segond | Thibault Parmentier | Roberta Stock | Ran Rosner | Mariola Usteran Muela
Proceedings of the Second Workshop on Building Educational Applications Using NLP

2004

pdf bib
NLP serving the cause of language learning
Frédérique Segond | Thibault Parmentier
Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning

2000

pdf bib
A Step toward Semantic Indexing of an Encyclopedic Corpus
Philippe Alcouffe | Nicolas Gacon | Claude Roux | Frédérique Segond
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

1998

pdf bib
Error Driven Word Sense Disambiguation
Luca Dini | Vittorio Di Tomaso | Frederique Segond
COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics

pdf bib
Error Driven Word Sense Disambiguation
Luca Dini | Vittorio Di Tomaso | Frederique Segond
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1

1997

pdf bib
An Experiment in Semantic Tagging using Hidden Markov Model Tagging
Frederique Segond | Anne Schiller | Gregory Grefenstette | Jean-Pierre Chanod
Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications

1996

pdf bib
Formal Description of Multi-Word Lexemes with the Finite-State Formalism IDAREX
Elisabeth Breidt | Frederique Segond | Giuseppe Valetto
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1992

pdf bib
An Integrated Syntactic and Semantic System for Natural Language Understanding
Frederique Segond | Karen Jensen
COLING 1992 Volume 3: The 15th International Conference on Computational Linguistics