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Found 37 papers, 5 papers with code
A Rough Set Formalization of Quantitative Evaluation with Ambiguity
In this paper, we present the founding elements of a formal model of the evaluation paradigm in natural language processing.
Facing the Identification Problem in Language-Related Scientific Data Analysis.
This paper describes the problems that must be addressed when studying large amounts of data over time which require entity normalization applied not to the usual genres of news or political speech, but to the genre of academic discourse about language resources, technologies and sciences.
Bidirectionnal converter between syntactic annotations : from French Treebank Dependencies to PASSAGE annotations, and back
We shall illustrate the mapping of important syntactic phenomena using the corpus made of the examples of the FTB - DEP annotation guidelines, which we have hand-annotated with PASSAGE annotations and used to compute quantitative performance measures on the FTB - DEP guidelines. n this paper we will briefly introduce the two annotation formats.
Toward a unifying model for Opinion, Sentiment and Emotion information extraction
This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment.
Rediscovering 15 Years of Discoveries in Language Resources and Evaluation: The LREC Anthology Analysis
It follows similar exercises that have been conducted, such as the survey on the IEEE ICASSP conference series from 1976 to 1990, which served in the launching of the ESCA Eurospeech conference, a survey of the Association of Computational Linguistics (ACL) over 50 years of existence, which was presented at the ACL conference in 2012, or a survey over the 25 years (1987-2012) of the conferences contained in the ISCA Archive, presented at Interspeech 2013.
Utiliser les interjections pour d\'etecter les \'emotions
Des travaux en analyse de sentiments ont montr{\'e} l{'}int{\'e}r{\^e}t des {\'e}motic{\^o}nes et r{\'e}cemment des mots-di{\`e}ses, qui s{'}av{\`e}rent {\^e}tre tr{\`e}s utiles pour la classification en polarit{\'e}.
A Study of Reuse and Plagiarism in LREC papers
The aim of this experiment is to present an easy way to compare fragments of texts in order to detect (supposed) results of copy {\&} paste operations between articles in the domain of Natural Language Processing (NLP).
Predictive Modeling: Guessing the NLP Terms of Tomorrow
Predictive modeling, often called {``}predictive analytics{''} in a commercial context, encompasses a variety of statistical techniques that analyze historical and present facts to make predictions about unknown events.
AppFM, une plate-forme de gestion de modules de TAL (AppFM, a tool for managing NLP modules)
AppFM 1 est un outil {\`a} mi-chemin entre un environnement de cr{\'e}ation de cha{\^\i}nes modulaires de TAL et un gestionnaire de services syst{\`e}mes.
Providing and Analyzing NLP Terms for our Community
By its own nature, the Natural Language Processing (NLP) community is a priori the best equipped to study the evolution of its own publications, but works in this direction are rare and only recently have we seen a few attempts at charting the field.
Named Entity Recognition (NER)
Optical Character Recognition (OCR)
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).
Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications
Statistical hypothesis testing is used to test if the experimental intervention is superior to the control.
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports
Recent advances in neural computing and word embeddings for semantic processing open many new applications areas which had been left unaddressed so far because of inadequate language understanding capacity.
DeSpin: a prototype system for detecting spin in biomedical publications
The proposed tool is the first tool for spin detection.
Natural Language Processing for Cognitive Analysis of Emotions
Emotion analysis in texts suffers from two major limitations: annotated gold-standard corpora are mostly small and homogeneous, and emotion identification is often simplified as a sentence-level classification problem.
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation
Emotion regulation is a crucial element in dealing with emotional events and has positive effects on mental health.
Searching for Snippets of Open-Domain Dialogue in Task-Oriented Dialogue Datasets
Most existing dialogue corpora and models have been designed to fit into 2 predominant categories : task-oriented dialogues portray functional goals, such as making a restaurant reservation or booking a plane ticket, while chit-chat/open-domain dialogues focus on holding a socially engaging talk with a user.
Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and Divergence
As a recent development, task-oriented dialogues (TODs) have been enriched with chitchat in an effort to make dialogues more diverse and engaging.
A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
In current text-based task-oriented dialogue (TOD) systems, user emotion detection (ED) is often overlooked or is typically treated as a separate and independent task, requiring additional training.
Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues
During task-oriented dialogues (TODs), human users naturally introduce chitchat that is beyond the immediate scope of the task, interfering with the flow of the conversation.
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.
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.
A Fine-Grained Annotated Corpus for Target-Based Opinion Analysis of Economic and Financial Narratives
In this paper, we present our pre-annotation models and evaluations of their performance, introduce our annotation scheme and report on the main characteristics of our corpus.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
Définition et détection des incohérences du système dans les dialogues orientés tâche. (We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context)
Définition et détection des incohérences du système dans les dialogues orientés tâche.
A Unifying View On Task-oriented Dialogue Annotation
In this paper, we present a new dataset, obtained by merging four publicly available annotated corpora for task-oriented dialogues in several domains (MultiWOZ 2. 2, CamRest676, DSTC2 and Schema-Guided Dialogue Dataset).
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
We describe the MAPA project, funded under the Connecting Europe Facility programme, whose goal is the development of an open-source de-identification toolkit for all official European Union languages.
Un corpus annoté pour la génération de questions et l’extraction de réponses pour l’enseignement (An annotated corpus for abstractive question generation and extractive answer for education)
Dans cette démonstration, nous présenterons les travaux en cours pour l’annotation d’un nouveau corpus de questions-réponses en langue Française.
