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Found 50 papers, 2 papers with code
Evaluating Tokenizers Impact on OOVs Representation with Transformers Models
Our experiments have led to exciting findings that showed: (1) It is easier to improve the representation of new words (A and B) than it is for words that already exist in the vocabulary of the Transformer models (C), (2) To ameliorate the representation of OOVs, the most effective method relies on adding external morpho-syntactic context rather than improving the semantic understanding of the words directly (fine-tuning) and (3) We cannot foresee the impact of minor misspellings in words because similar misspellings have different impacts on their representation.
Classification de cas cliniques et évaluation automatique de réponses d’étudiants : présentation de la campagne DEFT 2021 (Clinical cases classification and automatic evaluation of student answers : Presentation of the DEFT 2021 Challenge)
Le défi fouille de textes (DEFT) est une campagne d’évaluation annuelle francophone.
MAPA Project: Ready-to-Go Open-Source Datasets and Deep Learning Technology to Remove Identifying Information from Text Documents
This paper presents the outcomes of the MAPA project, a set of annotated corpora for 24 languages of the European Union and an open-source customisable toolkit able to detect and substitute sensitive information in text documents from any domain, using state-of-the art, deep learning-based named entity recognition techniques.
Notation automatique de réponses courtes d’étudiants : présentation de la campagne DEFT 2022 (Automatic grading of students’ short answers : presentation of the DEFT 2022 challenge)
La correction de copies d’étudiants est une tâche coûteuse en temps pour l’enseignant.
Impact du français inclusif sur les outils du TAL (Impact of French Inclusive Language on NLP Tools)
Le français inclusif est une variété du français standard mise en avant pour témoigner d’une conscience de genre et d’identité.
Etude des stéréotypes genrés dans le théâtre français du XVIe au XIXe siècle à travers des plongements lexicaux (Studying gender stereotypes in French theater from XVIth to XIXth century through the use of lexical embeddings )
Dans cet article, nous étudions les stéréotypes de genre qui existent dans des modèles Word2Vec.
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
Pr\'esentation de la campagne d'\'evaluation DEFT 2020 : similarit\'e textuelle en domaine ouvert et extraction d'information pr\'ecise dans des cas cliniques (Presentation of the DEFT 2020 Challenge : open domain textual similarity and precise information extraction from clinical cases )
La troisi{\`e}me t{\^a}che propose d{'}extraire dix cat{\'e}gories d{'}informations du domaine m{\'e}dical depuis le corpus de cas cliniques de DEFT 2019.
Inference Annotation of a Chinese Corpus for Opinion Mining
Polarity classification (positive, negative or neutral opinion detection) is well developed in the field of opinion mining.
Community Perspective on Replicability in Natural Language Processing
With recent efforts in drawing attention to the task of replicating and/or reproducing results, for example in the context of COLING 2018 and various LREC workshops, the question arises how the NLP community views the topic of replicability in general.
Clinical Case Reports for NLP
Thus, we manually annotated a set of 717 files into four general categories (age, gender, outcome, and origin) for a total number of 2, 835 annotations.
Recherche et extraction d'information dans des cas cliniques. Pr\'esentation de la campagne d'\'evaluation DEFT 2019 (Information Retrieval and Information Extraction from Clinical Cases)
Cet article pr{\'e}sente la campagne d{'}{\'e}valuation DEFT 2019 sur l{'}analyse de textes cliniques r{\'e}dig{\'e}s en fran{\c{c}}ais.
Corpus annot\'e de cas cliniques en fran\ccais (Annotated corpus with clinical cases in French)
Pour r{\'e}pondre {\`a} ce d{\'e}fi, nous pr{\'e}sentons dans cet article le corpus CAS contenant des cas cliniques de patients, r{\'e}els ou fictifs, que nous avons compil{\'e}s. Ces cas cliniques en fran{\c{c}}ais couvrent plusieurs sp{\'e}cialit{\'e}s m{\'e}dicales et focalisent donc sur diff{\'e}rentes situations cliniques.
DEFT2018 : recherche d'information et analyse de sentiments dans des tweets concernant les transports en \^Ile de France (DEFT2018 : Information Retrieval and Sentiment Analysis in Tweets about Public Transportation in \^Ile de France Region )
Cet article pr{\'e}sente l{'}{\'e}dition 2018 de la campagne d{'}{\'e}valuation DEFT (D{\'e}fi Fouille de Textes).
Simplification de sch\'emas d'annotation : un aller sans retour ? (Annotation scheme simplification : a one way trip with no return ?)
Nous {\'e}tudions {\'e}galement la possibilit{\'e} de retrouver le niveau de d{\'e}tail des types d{'}EN du sch{\'e}ma d{'}origine {\`a} partir des versions simplifi{\'e}es.
Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model
In this paper we present a novel approach to the automatic correction of OCR-induced orthographic errors in a given text.
Traitement automatique de la langue biom\'edicale au LIMSI (Biomedical language processing at LIMSI)
Nous proposons des d{\'e}monstrations de trois outils d{\'e}velopp{\'e}s par le LIMSI en traitement automatique des langues appliqu{\'e} au domaine biom{\'e}dical : la d{\'e}tection de concepts m{\'e}dicaux dans des textes courts, la cat{\'e}gorisation d{'}articles scientifiques pour l{'}assistance {\`a} l{'}{\'e}criture de revues syst{\'e}matiques, et l{'}anonymisation de textes cliniques.
A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage
Very few datasets have been released for the evaluation of diagnosis coding with the International Classification of Diseases, and only one so far in a language other than English.
Detection of Text Reuse in French Medical Corpora
Electronic Health Records (EHRs) are increasingly available in modern health care institutions either through the direct creation of electronic documents in hospitals{'} health information systems, or through the digitization of historical paper records.
Supervised classification of end-of-lines in clinical text with no manual annotation
In some plain text documents, end-of-line marks may or may not mark the boundary of a text unit (e. g., of a paragraph).
Une cat\'egorisation de fins de lignes non-supervis\'ee (End-of-line classification with no supervision)
Nous proposons une m{\'e}thode enti{\`e}rement non-supervis{\'e}e pour d{\'e}terminer si une fin de ligne doit {\^e}tre vue comme un simple espace ou comme une v{\'e}ritable fronti{\`e}re d{'}unit{\'e} textuelle, et la testons sur un corpus de comptes rendus m{\'e}dicaux.
Text Segmentation of Digitized Clinical Texts
We achieved our best results with a model trained on homogeneous corpora (only files composed of 2 columns) when classifying each token into left or right columns (overall F-measure of 0. 968).
Controlled Propagation of Concept Annotations in Textual Corpora
In this paper, we presented the annotation propagation tool we designed to be used in conjunction with the BRAT rapid annotation tool.
Identification of Drug-Related Medical Conditions in Social Media
When trained on the output of the first classifier, the second classifier{'}s performances are the following: p=0. 683;r=0. 956;f1=0. 797.
M\'edicaments qui soignent, m\'edicaments qui rendent malades : \'etude des relations causales pour identifier les effets secondaires
Dans cet article, nous nous int{\'e}ressons {\`a} la mani{\`e}re dont sont exprim{\'e}s les liens qui existent entre un traitement m{\'e}dical et un effet secondaire.
\'Etude des verbes introducteurs de noms de m\'edicaments dans les forums de sant\'e
Nous estimons que l{'}analyse de ces variantes pourrait permettre de mod{\'e}liser les erreurs faites par les usagers des forums lorsqu{'}ils {\'e}crivent les noms de m{\'e}dicaments, et am{\'e}liorer en cons{\'e}quence les syst{\`e}mes de recherche d{'}information.
Identification de facteurs de risque pour des patients diab\'etiques \`a partir de comptes-rendus cliniques par des approches hybrides
Dans cet article, nous pr{\'e}sentons les m{\'e}thodes que nous avons d{\'e}velopp{\'e}es pour analyser des comptes- rendus hospitaliers r{\'e}dig{\'e}s en anglais.
Morpho-Syntactic Study of Errors from Speech Recognition System
The study provides an original standpoint of the speech transcription errors by focusing on the morpho-syntactic features of the erroneous chunks and of the surrounding left and right context.
Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports
We design and test two syntax-based methods to produce word classes: one applies the Brown clustering algorithm to syntactic dependencies, the other collects latent categories created by a PCFG-LA parser.
Biomedical entity extraction using machine-learning based approaches
In this paper, we present the experiments we made to process entities from the biomedical domain.
Annotation of specialized corpora using a comprehensive entity and relation scheme
We present the annotation scheme as well as the results of a pilot annotation study covering 35 clinical documents in a variety of subfields and genres.
Human annotation of ASR error regions: Is ``gravity'' a sharable concept for human annotators?
This paper is concerned with human assessments of the severity of errors in ASR outputs.
The Quaero French Medical Corpus: A Ressource for Medical Entity Recognition and Normalization
Overall, a total of 26, 409 entity annotations were mapped to 5, 797 unique UMLS concepts.
Extended Named Entities Annotation on OCRed Documents: From Corpus Constitution to Evaluation Campaign
Within the framework of the Quaero project, we proposed a new definition of named entities, based upon an extension of the coverage of named entities as well as the structure of those named entities.
Named Entity Recognition (NER)
Optical Character Recognition (OCR)
