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Found 35 papers, 1 papers with code
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets
Transfer Learning has been shown to be a powerful tool for Natural Language Processing (NLP) and has outperformed the standard supervised learning paradigm, as it takes benefit from the pre-learned knowledge.
Indigenous Language Revitalization and the Dilemma of Gender Bias
One of the most common flaws is bias.
Revitalisation des langues autochtones via le prétraitement et la traduction automatique neuronale: le cas de l’inuktitut (Revitalization and Preservation of Indigenous Languages through Natural Language Processing )
Nous présentons des résumés en français et en anglais de l’article (Tan Le & Sadat, 2020) présenté à la 28ème conférence internationale sur les linguistiques computationnelles (the 28th International Conference on Computational Linguistics) en 2020.
Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies
Innu-Aimun is an Algonquian language spoken in Eastern Canada.
Towards a First Automatic Unsupervised Morphological Segmentation for Inuinnaqtun
Low-resource polysynthetic languages pose many challenges in NLP tasks, such as morphological analysis and Machine Translation, due to available resources and tools, and the morphologically complex languages.
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions
In the last years, several variants of transformers have emerged.
Automatic Spell Checker and Correction for Under-represented Spoken Languages: Case Study on Wolof
This paper presents a spell checker and correction tool specifically designed for Wolof, an under-represented spoken language in Africa.
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
In the standard fine-tuning scheme of TL, a model is initially pre-trained on a source domain and subsequently fine-tuned on a target domain and, therefore, source and target domains are trained using the same architecture.
Revitalization of Indigenous Languages through Pre-processing and Neural Machine Translation: The case of Inuktitut
Indigenous languages have been very challenging when dealing with NLP tasks and applications because of multiple reasons.
Multi-Task Supervised Pretraining for Neural Domain Adaptation
Two prevalent transfer learning approaches are used in recent works to improve neural networks performance for domains with small amounts of annotated data: Multi-task learning which involves training the task of interest with related auxiliary tasks to exploit their underlying similarities, and Mono-task fine-tuning, where the weights of the model are initialized with the pretrained weights of a large-scale labeled source domain and then fine-tuned with labeled data of the target domain (domain of interest).
Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks
In sentiment analysis, several researchers have used emoji and hashtags as specific forms of training and supervision.
Multilingual Neural Machine Translation involving Indian Languages
The technique helps achieve a jump of more than 15 points in BLEU score from the multilingual NMT model.
Augmenting Named Entity Recognition with Commonsense Knowledge
Commonsense can be vital in some applications like Natural Language Understanding (NLU), where it is often required to resolve ambiguity arising from implicit knowledge and underspecification.
Exploration de l'apprentissage par transfert pour l'analyse de textes des r\'eseaux sociaux (Exploring neural transfer learning for social media text analysis )
L{'}apprentissage par transfert repr{\'e}sente la capacit{\'e} qu{'}un mod{\`e}le neuronal entra{\^\i}n{\'e} sur une t{\^a}che {\`a} g{\'e}n{\'e}raliser suffisamment et correctement pour produire des r{\'e}sultats pertinents sur une autre t{\^a}che proche mais diff{\'e}rente.
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
Fine-tuning neural networks is widely used to transfer valuable knowledge from high-resource to low-resource domains.
Ranked #1 on
Part-Of-Speech Tagging
on Social media
Sequence to Sequence Learning for Query Expansion
Using sequence to sequence algorithms for query expansion has not been explored yet in Information Retrieval literature nor in Question-Answering's.
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets
In this paper, we describe a morpho-syntactic tagger of tweets, an important component of the CEA List DeepLIMA tool which is a multilingual text analysis platform based on deep learning.
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages
Grapheme-to-phoneme models are key components in automatic speech recognition and text-to-speech systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Translitt\'eration automatique pour une paire de langues peu dot\'ee ()
Dans ce travail de recherche, nous pr{\'e}sentons une d{\'e}monstration de conversion de graph{\`e}me en phon{\`e}me pour pallier au probl{\`e}me de translitt{\'e}ration pour une paire de langues peu dot{\'e}e, avec une application sur fran{\c{c}}ais-vietnamien.
Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets
We evaluate and compare several automatic classification systems using part or all of the items described in our contributions and found that filtering by part of speech and named entity recognition dramatically increase the classification precision to 77. 3 {\%}.
UQAM-NTL: Named entity recognition in Twitter messages
This paper describes our system used in the 2nd Workshop on Noisy User-generated Text (WNUT) shared task for Named Entity Recognition (NER) in Twitter, in conjunction with Coling 2016.
Lexfom: a lexical functions ontology model
For example, the antonymy is a type of relation that is represented by the lexical function Anti: Anti(big) = small.
Building a Bilingual Vietnamese-French Named Entity Annotated Corpus through Cross-Linguistic Projection
This paper focuses on an automatic construction of named entity annotated corpora for Vietnamese-French, a less-resourced pair of languages.
