5 citations · 6 across the 2 of their papers we have counts for
4 papers
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…
Factorising Meaning and Form for Intent-Preserving Paraphrasing
Tom Hosking, Mirella Lapata
We propose a method for generating paraphrases of English questions that retain the original intent but use a different surface form. Our model combines a careful choice of trainin…
Querent Intent in Multi-Sentence Questions
Laurie Burchell, Jie Chi, Tom Hosking +2
Multi-sentence questions (MSQs) are sequences of questions connected by relations which, unlike sequences of standalone questions, need to be answered as a unit. Following Rhetoric…
Evaluating Rewards for Question Generation Models
Tom Hosking, Sebastian Riedel
Recent approaches to question generation have used modifications to a Seq2Seq architecture inspired by advances in machine translation. Models are trained using teacher forcing to…