Search Results for author:
Found 40 papers, 2 papers with code
A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing
In recent years, researchers in the area of Computational Creativity have studied the human creative process proposing different approaches to reproduce it with a formal procedure.
LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features
This work aims to evaluate the ability that both probabilistic and state-of-the-art vector space modeling (VSM) methods provide to well known machine learning algorithms to identify social network documents to be classified as aggressive, gender biased or communally charged.
LiSSS: A toy corpus of Spanish Literary Sentences for Emotions detection
We address this corpus of literary sentences in order to evaluate or design algorithms of emotions classification and detection.
Automatic Discourse Segmentation: Review and Perspectives
Multilingual discourse parsing is a very prominent research topic.
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
In this paper we define the concept of Interestingness as a generalization of Informativeness, whereby the information need is diverse and formalized as an unknown set of implicit queries.
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences.
Automatic Discourse Segmentation: an evaluation in French
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality.
Audio Summarization with Audio Features and Probability Distribution Divergence
Our method, based on an extractive summarization approach, aims to select the most relevant segments until a time threshold is reached.
Generación automática de frases literarias en español
In this work we present a state of the art in the area of Computational Creativity (CC).
Visual Simplified Characters' Emotion Emulator Implementing OCC Model
In this paper, we present a visual emulator of the emotions seen in characters in stories.
Intweetive Text Summarization
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business.
Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish
Finally, we present a comparison of these outcomes with the concordances of each word to show how we can determine if a word could be a valid candidate for SN.
Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System
In this paper we introduce concepts, large categories of fields of studies or job domains in order to represent the vision of the future of the user's trajectory.
RIMAX: Ranking Semantic Rhymes by calculating Definition Similarity
This paper presents RIMAX, a new system for detecting semantic rhymes, using a Comprehensive Mexican Spanish Dictionary (DEM) and its Rhyming Dictionary (REM).
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)
We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge.
A Multilingual Study of Compressive Cross-Language Text Summarization
Cross-Language Text Summarization (CLTS) generates summaries in a language different from the language of the source documents.
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM
Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP).
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique
In this paper we propose a new approach to evaluate the informativeness of transcriptions coming from Automatic Speech Recognition systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
WiSeBE: Window-based Sentence Boundary Evaluation
Do standard evaluation metrics like precision, recall, F-score or classification error; and more important, evaluating an automatic system against a unique reference is enough to conclude how well a SBD system is performing given the final application of the transcript?
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Cyberbullying Detection Task: the EBSI-LIA-UNAM System (ELU) at COLING'18 TRAC-1
This study aims to assess the ability that both classical and state-of-the-art vector space modeling methods provide to well known learning machines to identify aggression levels in social network cyberbullying (i. e. social network posts manually labeled as Overtly Aggressive, Covertly Aggressive and Non-aggressive).
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming
Multi-Sentence Compression (MSC) aims to generate a short sentence with key information from a cluster of closely related sentences.
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).
Sentence Boundary Detection for French with Subword-Level Information Vectors and Convolutional Neural Networks
All three models have good F1 scores reaching values over 0. 97 regarding the "not sentence boundary" class.
Unsupervised Sentence Representations as Word Information Series: Revisiting TF--IDF
Results showed that our model outperformed the state of the art in well-known Semantic Textual Similarity (STS) benchmarks.
Open-Ended Question Answering
Semantic Textual Similarity
+3
Automatic Text Summarization Approaches to Speed up Topic Model Learning Process
One of the main difficulty in using topic model on huge data collection is related to the material resources (CPU time and memory) required for model estimate.
Métodos de Otimização Combinatória Aplicados ao Problema de Compressão MultiFrases
The Internet has led to a dramatic increase in the amount of available information.
A German Corpus for Text Similarity Detection Tasks
The purpose of this corpus is to automatically assess the similarity between a pair of texts and to evaluate different similarity measures, both for whole documents or for individual sentences.
Extending Automatic Discourse Segmentation for Texts in Spanish to Catalan
In this article we present the first discourse segmenter for texts in Catalan.
Efficient Social Network Multilingual Classification using Character, POS n-grams and Dynamic Normalization
In this paper we describe a dynamic normalization process applied to social network multilingual documents (Facebook and Twitter) to improve the performance of the Author profiling task for short texts.
Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14
This year, the DEFT campaign (D\'efi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented.
Systèmes du LIA à DEFT'13
The 2013 D\'efi de Fouille de Textes (DEFT) campaign is interested in two types of language analysis tasks, the document classification and the information extraction in the specialized domain of cuisine recipes.
LIA-RAG: a system based on graphs and divergence of probabilities applied to Speech-To-Text Summarization
This paper aims to introduces a new algorithm for automatic speech-to-text summarization based on statistical divergences of probabilities and graphs.
Regroupement sémantique de définitions en espagnol
This article focuses on the description and evaluation of a new unsupervised learning method of clustering of definitions in Spanish according to their semantic.
Un résumeur à base de graphes, indépéndant de la langue
In this paper we present REG, a graph-based approach for study a fundamental problem of Natural Language Processing (NLP): the automatic text summarization.
Optimisation using Natural Language Processing: Personalized Tour Recommendation for Museums
This paper proposes a new method to provide personalized tour recommendation for museum visits.
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization
This paper describes a new method for normalization of words to further reduce the space of representation.
