187 citations · 1.6k across the 127 of their papers we have counts for
14 papers · 2 filters
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning
Hao Zheng, Mirella Lapata
Compositional generalization is a basic mechanism in human language learning, which current neural networks struggle with. A recently proposed Disentangled sequence-to-sequence mod…
mFACE: Multilingual Summarization with Factual Consistency Evaluation
Roee Aharoni, Shashi Narayan, Joshua Maynez +3
Abstractive summarization has enjoyed renewed interest in recent years, thanks to pre-trained language models and the availability of large-scale datasets. Despite promising result…
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis +2
Previous work has demonstrated the effectiveness of planning for story generation exclusively in a monolingual setting focusing primarily on English. We consider whether planning b…
QAmeleon: Multilingual QA with Only 5 Examples
Priyanka Agrawal, Chris Alberti, Fantine Huot +6
The availability of large, high-quality datasets has been one of the main drivers of recent progress in question answering (QA). Such annotated datasets however are difficult and c…
Hierarchical3D Adapters for Long Video-to-text Summarization
Pinelopi Papalampidi, Mirella Lapata
In this paper, we focus on video-to-text summarization and investigate how to best utilize multimodal information for summarizing long inputs (e.g., an hour-long TV show) into long…
Explainable Abuse Detection as Intent Classification and Slot Filling
Agostina Calabrese, Björn Ross, Mirella Lapata
To proactively offer social media users a safe online experience, there is a need for systems that can detect harmful posts and promptly alert platform moderators. In order to guar…
Meta-Learning a Cross-lingual Manifold for Semantic Parsing
Tom Sherborne, Mirella Lapata
Localizing a semantic parser to support new languages requires effective cross-lingual generalization. Recent work has found success with machine-translation or zero-shot methods a…
Text Summarization with Oracle Expectation
Yumo Xu, Mirella Lapata
Extractive summarization produces summaries by identifying and concatenating the most important sentences in a document. Since most summarization datasets do not come with gold lab…
Conditional Generation with a Question-Answering Blueprint
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo +6
The ability to convey relevant and faithful information is critical for many tasks in conditional generation and yet remains elusive for neural seq-to-seq models whose outputs ofte…
Latent Topology Induction for Understanding Contextualized Representations
Yao Fu, Mirella Lapata
In this work, we study the representation space of contextualized embeddings and gain insight into the hidden topology of large language models. We show there exists a network of l…
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
Shashi Narayan, Gonçalo Simões, Yao Zhao +4
We propose Composition Sampling, a simple but effective method to generate diverse outputs for conditional generation of higher quality compared to previous stochastic decoding str…
Hierarchical Sketch Induction for Paraphrase Generation
Tom Hosking, Hao Tang, Mirella Lapata
We propose a generative model of paraphrase generation, that encourages syntactic diversity by conditioning on an explicit syntactic sketch. We introduce Hierarchical Refinement Qu…
Data-to-text Generation with Variational Sequential Planning
Ratish Puduppully, Yao Fu, Mirella Lapata
We consider the task of data-to-text generation, which aims to create textual output from non-linguistic input. We focus on generating long-form text, i.e., documents with multiple…
Models and Datasets for Cross-Lingual Summarisation
Laura Perez-Beltrachini, Mirella Lapata
We present a cross-lingual summarisation corpus with long documents in a source language associated with multi-sentence summaries in a target language. The corpus covers twelve lan…