129 citations · 276 across the 19 of their papers we have counts for
8 papers · 1 filter
Byte-Pair Encoding for Text-to-SQL Generation
Samuel Müller, Andreas Vlachos
Neural sequence-to-sequence models provide a competitive approach to the task of mapping a question in natural language to an SQL query, also referred to as text-to-SQL generation.…
Neural Generative Rhetorical Structure Parsing
Amandla Mabona, Laura Rimell, Stephen Clark +1
Rhetorical structure trees have been shown to be useful for several document-level tasks including summarization and document classification. Previous approaches to RST parsing hav…
Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher, Andreas Vlachos
Named entity recognition (NER) is one of the best studied tasks in natural language processing. However, most approaches are not capable of handling nested structures which are com…
HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy, Shashi Narayan, Andreas Vlachos
There has been substantial progress in summarization research enabled by the availability of novel, often large-scale, datasets and recent advances on neural network-based approach…
Generating Token-Level Explanations for Natural Language Inference
James Thorne, Andreas Vlachos, Christos Christodoulopoulos +1
The task of Natural Language Inference (NLI) is widely modeled as supervised sentence pair classification. While there has been a lot of work recently on generating explanations of…
Strong Baselines for Complex Word Identification across Multiple Languages
Pierre Finnimore, Elisabeth Fritzsch, Daniel King +4
Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task relea…