Search Results for author: Christophe Gravier

Found 12 papers, 10 papers with code

ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing

1 code implementation ACL 2021 Thomas Dopierre, Christophe Gravier, Wilfried Logerais

It relies on diverse paraphrasing: a conditional language model is first fine-tuned for paraphrasing, and diversity is later introduced at the decoding stage at each meta-learning episode.

Intent Detection Language Modelling +1

ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning

1 code implementation27 May 2021 Thomas Dopierre, Christophe Gravier, Wilfried Logerais

It relies on diverse paraphrasing: a conditional language model is first fine-tuned for paraphrasing, and diversity is later introduced at the decoding stage at each meta-learning episode.

Intent Detection Language Modelling +1

Few-shot Pseudo-Labeling for Intent Detection

1 code implementation COLING 2020 Thomas Dopierre, Christophe Gravier, Julien Subercaze, Wilfried Logerais

This performance is achieved on multiple intent detection datasets, even in more challenging situations where the number of classes is large or when the dataset is highly imbalanced.

Intent Detection Text Classification

Near-lossless Binarization of Word Embeddings

1 code implementation24 Mar 2018 Julien Tissier, Christophe Gravier, Amaury Habrard

Word embeddings are commonly used as a starting point in many NLP models to achieve state-of-the-art performances.

Binarization Semantic Similarity +4

Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

1 code implementation NAACL 2018 Hady Elsahar, Christophe Gravier, Frederique Laforest

We present a neural model for question generation from knowledge base triples in a "Zero-Shot" setup, that is generating questions for triples containing predicates, subject types or object types that were not seen at training time.

Knowledge Graphs Question Generation

Unsupervised Open Relation Extraction

1 code implementation22 Jan 2018 Hady Elsahar, Elena Demidova, Simon Gottschalk, Christophe Gravier, Frederique Laforest

We explore methods to extract relations between named entities from free text in an unsupervised setting.

Relation Extraction Word Embeddings

High Recall Open IE for Relation Discovery

no code implementations IJCNLP 2017 Hady Elsahar, Christophe Gravier, Frederique Laforest

Relation Discovery discovers predicates (relation types) from a text corpus relying on the co-occurrence of two named entities in the same sentence.

Open Information Extraction Relation Extraction

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

1 code implementation EMNLP 2017 Julien Tissier, Christophe Gravier, Amaury Habrard

Learning word embeddings on large unlabeled corpus has been shown to be successful in improving many natural language tasks.

General Classification Knowledge Graphs +7

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