187 citations · 1.6k across the 127 of their papers we have counts for
12 papers · 1 filter
Scaling Structured Inference with Randomization
Yao Fu, John P. Cunningham, Mirella Lapata
Deep discrete structured models have seen considerable progress recently, but traditional inference using dynamic programming (DP) typically works with a small number of states (le…
Finding the Right Moment: Human-Assisted Trailer Creation via Task Composition
Pinelopi Papalampidi, Frank Keller, Mirella Lapata
Movie trailers perform multiple functions: they introduce viewers to the story, convey the mood and artistic style of the film, and encourage audiences to see the movie. These dive…
Disentangled Sequence to Sequence Learning for Compositional Generalization
Hao Zheng, Mirella Lapata
There is mounting evidence that existing neural network models, in particular the very popular sequence-to-sequence architecture, struggle to systematically generalize to unseen co…
Learning Opinion Summarizers by Selecting Informative Reviews
Arthur Bražinskas, Mirella Lapata, Ivan Titov
Opinion summarization has been traditionally approached with unsupervised, weakly-supervised and few-shot learning techniques. In this work, we collect a large dataset of summaries…
Memory-Based Semantic Parsing
Parag Jain, Mirella Lapata
We present a memory-based model for context-dependent semantic parsing. Previous approaches focus on enabling the decoder to copy or modify the parse from the previous utterance, a…
Aspect-Controllable Opinion Summarization
Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata
Recent work on opinion summarization produces general summaries based on a set of input reviews and the popularity of opinions expressed in them. In this paper, we propose an appro…