Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs

no code implementations • 24 Apr 2024 • John Bauer, Chloe Kiddon, Eric Yeh, Alex Shan, Christopher D. Manning

Searching dependency graphs and manipulating them can be a time consuming and challenging task to get right.

Do "English" Named Entity Recognizers Work Well on Global Englishes?

no code implementations • 20 Apr 2024 • Alexander Shan, John Bauer, Riley Carlson, Christopher Manning

We test widely used NER toolkits and transformer models, including models using the pre-trained contextual models RoBERTa and ELECTRA, on three datasets: a commonly used British English newswire dataset, CoNLL 2003, a more American focused dataset OntoNotes, and our global dataset.

named-entity-recognition Named Entity Recognition +1

The Stanford CoreNLP Natural Language Processing Toolkit

1 code implementation • ACL 2014 • Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, David McClosky

Coreference Resolution Dependency Parsing +5

A Gold Standard Dependency Corpus for English

no code implementations • LREC 2014 • Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel Bowman, Miriam Connor, John Bauer, Chris Manning

This resource addresses the lack of a gold standard dependency treebank for English, as well as the limited availability of gold standard syntactic annotations for English informal text genres.

Sentiment Analysis

Parsing with Compositional Vector Grammars

no code implementations • ACL 2013 • Richard Socher, John Bauer, Christopher D. Manning, Andrew Y. Ng

Feature Engineering Relation Extraction +2

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task

no code implementations • WS 2013 • Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning

Machine Translation Translation