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19962024
most citedModeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

67 citations · 127 across the 16 of their papers we have counts for

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12 papers · 1 filter

cs.CL2022

Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering

Quentin Brabant, Lina Maria Rojas-Barahona, Claire Gardent

In human conversations, ellipsis and coreference are commonly occurring linguistic phenomena. Although these phenomena are a mean of making human-machine conversations more fluent…

cs.CL2020

Multilingual AMR-to-Text Generation

Angela Fan, Claire Gardent

Generating text from structured data is challenging because it requires bridging the gap between (i) structure and natural language (NL) and (ii) semantically underspecified input…

cs.CL2020★ 18 cited

Augmenting Transformers with KNN-Based Composite Memory for Dialogue

Angela Fan, Claire Gardent, Chloe Braud +1

Various machine learning tasks can benefit from access to external information of different modalities, such as text and images. Recent work has focused on learning architectures w…

cs.CL2020★ 67 cited

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent +1

Recent graph-to-text models generate text from graph-based data using either global or local aggregation to learn node representations. Global node encoding allows explicit communi…

cs.CL2019

Quality of syntactic implication of RL-based sentence summarization

Hoa T. Le, Christophe Cerisara, Claire Gardent

Work on summarization has explored both reinforcement learning (RL) optimization using ROUGE as a reward and syntax-aware models, such as models those input is enriched with part-o…

cs.CL2019★ 3 cited

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs

Angela Fan, Claire Gardent, Chloe Braud +1

Query-based open-domain NLP tasks require information synthesis from long and diverse web results. Current approaches extractively select portions of web text as input to Sequence-…