187 citations · 1.6k across the 127 of their papers we have counts for
6 papers · 1 filter
Dependency Parsing as Head Selection
Xingxing Zhang, Jianpeng Cheng, Mirella Lapata
Conventional graph-based dependency parsers guarantee a tree structure both during training and inference. Instead, we formalize dependency parsing as the problem of independently…
Neural Semantic Role Labeling with Dependency Path Embeddings
Michael Roth, Mirella Lapata
This paper introduces a novel model for semantic role labeling that makes use of neural sequence modeling techniques. Our approach is motivated by the observation that complex synt…
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella, Mirella Lapata, Frank Keller
We introduce a new task, visual sense disambiguation for verbs: given an image and a verb, assign the correct sense of the verb, i.e., the one that describes the action depicted in…
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng, Mirella Lapata
Traditional approaches to extractive summarization rely heavily on human-engineered features. In this work we propose a data-driven approach based on neural networks and continuous…
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng, Li Dong, Mirella Lapata
In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a machine reading simulator which processes text incr…
Language to Logical Form with Neural Attention
Li Dong, Mirella Lapata
Semantic parsing aims at mapping natural language to machine interpretable meaning representations. Traditional approaches rely on high-quality lexicons, manually-built templates,…