67 citations · 217 across the 55 of their papers we have counts for
7 papers · 1 filter
Semantic Role Labeling with Iterative Structure Refinement
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
Modern state-of-the-art Semantic Role Labeling (SRL) methods rely on expressive sentence encoders (e.g., multi-layer LSTMs) but tend to model only local (if any) interactions betwe…
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan, Shay B. Cohen, Mirella Lapata
We introduce 'extreme summarization', a new single-document summarization task which aims at creating a short, one-sentence news summary answering the question ``What is the articl…
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes, Shashi Narayan, Sebastião Miranda +3
We present a new neural model for text summarization that first extracts sentences from a document and then compresses them. The proposed model offers a balance that sidesteps the…
Obfuscation for Privacy-preserving Syntactic Parsing
Zhifeng Hu, Serhii Havrylov, Ivan Titov +1
The goal of homomorphic encryption is to encrypt data such that another party can operate on it without being explicitly exposed to the content of the original data. We introduce a…
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle
Maximin Coavoux, Shay B. Cohen
We introduce a novel transition system for discontinuous constituency parsing. Instead of storing subtrees in a stack --i.e. a data structure with linear-time sequential access-- t…
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte, Shay B. Cohen
AMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs. Sequence…
Unlexicalized Transition-based Discontinuous Constituency Parsing
Maximin Coavoux, Benoît Crabbé, Shay B. Cohen
Lexicalized parsing models are based on the assumptions that (i) constituents are organized around a lexical head (ii) bilexical statistics are crucial to solve ambiguities. In thi…