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Found 19 papers, 1 papers with code
Transfer Learning and Masked Generation for Answer Verbalization
In general, QA systems query a Knowledge Base (KB) to detect and extract the raw answers as final prediction.
Transformer based Natural Language Generation for Question-Answering
This paper explores Natural Language Generation within the context of Question-Answering task.
Knowledge Extraction From Texts Based on Wikidata
This paper presents an effort within our company of developing knowledge extraction pipeline for English, which can be further used for constructing an entreprise-specific knowledge base.
Multilingual Abstract Meaning Representation for Celtic Languages
Deep Semantic Parsing into Abstract Meaning Representation (AMR) graphs has reached a high quality with neural-based seq2seq approaches.
Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)
La tâche de compréhension automatique du langage en contexte d’interaction (NLU pour Natural Language Understanding) est souvent réduite à la détection d’intentions et de concepts sur des corpus mono-domaines annotés avec une seule intention par énoncé.
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Text generation from Abstract Meaning Representation (AMR) has substantially benefited from the popularized Pretrained Language Models (PLMs).
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures
We further propose Hercules, a time-aware extension of AttH model, which defines the curvature of a Riemannian manifold as the product of both relation and time.
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
The task of verbalization of RDF triples has known a growth in popularity due to the rising ubiquity of Knowledge Bases (KBs).
Hybrid Enhanced Universal Dependencies Parsing
Then, we use a set of linguistic rules which generate the enhanced dependencies for the syntactic tree.
Approche de g\'en\'eration de r\'eponse \`a base de transformers (Transformer based approach for answer generation)
Cet article pr{\'e}sente une approche non-supervis{\'e}e bas{\'e}e sur les mod{\`e}les Transformer pour la g{\'e}n{\'e}ration du langage naturel dans le cadre des syst{\`e}mes de question-r{\'e}ponse.
Cross-lingual and Cross-domain Evaluation of Machine Reading Comprehension with Squad and CALOR-Quest Corpora
Machine Reading received recently a lot of attention thanks to both the availability of very large corpora such as SQuAD or MS MARCO containing triplets (document, question, answer), and the introduction of Transformer Language Models such as BERT which obtain excellent results, even matching human performance according to the SQuAD leaderboard.
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document.
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
Parsing is done recursively, we perform a first inference on the sentence to extract the main scenes and links and then we recursively apply our model on the sentence using a masking feature that reflects the decisions made in previous steps.
Spoken Conversational Search for General Knowledge
We present a spoken conversational question answering proof of concept that is able to answer questions about general knowledge from Wikidata.
CALOR-QUEST : un corpus d'entra\^\inement et d'\'evaluation pour la compr\'ehension automatique de textes (Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document)
Le but de cette {\'e}tude est de permettre le d{\'e}veloppement de telles ressources pour d{'}autres langues {\`a} moindre co{\^u}t en proposant une m{\'e}thode g{\'e}n{\'e}rant de mani{\`e}re semi-automatique des questions {\`a} partir d{'}une analyse s{\'e}mantique d{'}un grand corpus.
Multi-Model and Crosslingual Dependency Analysis
This paper describes the system of the Team Orange-Deski{\~n}, used for the CoNLL 2017 UD Shared Task in Multilingual Dependency Parsing.
