NNE: A Dataset for Nested Named Entity Recognition in English Newswire

no code implementations • ACL 2019 • Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran

Named entity recognition (NER) is widely used in natural language processing applications and downstream tasks.

named-entity-recognition Named Entity Recognition +2

Identifying Cascading Errors using Constraints in Dependency Parsing

no code implementations • IJCNLP 2015 • Dominick Ng, James R. Curran

Constituency Parsing Dependency Parsing

Web-scale Surface and Syntactic n-gram Features for Dependency Parsing

no code implementations • 25 Feb 2015 • Dominick Ng, Mohit Bansal, James R. Curran

We develop novel first- and second-order features for dependency parsing based on the Google Syntactic Ngrams corpus, a collection of subtree counts of parsed sentences from scanned books.

Dependency Parsing

Trading accuracy for faster named entity linking

no code implementations • ALTA 2014 • Kristy Hughes, Joel Nothman, James R. Curran

Entity Linking Knowledge Base Population

Unsupervised Biographical Event Extraction Using Wikipedia Traffic

no code implementations • ALTA 2014 • Alex Hogue, er, Joel Nothman, James R. Curran

Event Extraction

Analysing recall loss in named entity slot filling

no code implementations • EMNLP 2014 • Glen Pink, Joel Nothman, James R. Curran

Knowledge Base Population Named Entity Recognition (NER) +2

docrep: A lightweight and efficient document representation framework

no code implementations • COLING 2014 • Tim Dawborn, James R. Curran

Limited memory incremental coreference resolution

no code implementations • COLING 2014 • Kellie Webster, James R. Curran

coreference-resolution Entity Linking +1

Command-line utilities for managing and exploring annotated corpora

no code implementations • WS 2014 • Joel Nothman, Tim Dawborn, James R. Curran

Examining the Impact of Coreference Resolution on Quote Attribution

no code implementations • ALTA 2013 • Tim O{'}Keefe, Kellie Webster, James R. Curran, Irena Koprinska

coreference-resolution Information Retrieval +1

Automatically Detecting and Attributing Indirect Quotations

no code implementations • EMNLP 2013 • Silvia Pareti, Tim O{'}Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska

Opinion Mining

An Empirical Examination of Challenges in Chinese Parsing

1 code implementation • ACL 2013 • Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein

An annotated corpus of quoted opinions in news articles

no code implementations • ACL 2013 • Tim O{'}Keefe, James R. Curran, Peter Ashwell, Irena Koprinska

Opinion Mining Sentiment Analysis

Joint Apposition Extraction with Syntactic and Semantic Constraints

no code implementations • ACL 2013 • Will Radford, James R. Curran

Coreference Resolution Natural Language Inference

Event Linking: Grounding Event Reference in a News Archive

no code implementations • ACL 2012 • Joel Nothman, Matthew Honnibal, Ben Hachey, James R. Curran

Entity Linking

Robust Conversion of CCG Derivations to Phrase Structure Trees

1 code implementation • ACL 2012 • Jonathan K. Kummerfeld, Dan Klein, James R. Curran

Dependency Hashing for n-best CCG Parsing

no code implementations • ACL 2012 • Dominick Ng, James R. Curran

A Sequence Labelling Approach to Quote Attribution

no code implementations • EMNLP 2012 • Timothy O{'}Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal

Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output

1 code implementation • EMNLP 2012 • Jonathan K. Kummerfeld, David Hall, James R. Curran, Dan Klein

The Challenges of Parsing Chinese with Combinatory Categorial Grammar

no code implementations • NAACL 2012 • Daniel Tse, James R. Curran