Morphological Segmentation for Low Resource Languages

no code implementations • LREC 2020 • Justin Mott, Ann Bies, Stephanie Strassel, Jordan Kodner, Caitlin Richter, Hongzhi Xu, Mitchell Marcus

This paper describes a new morphology resource created by Linguistic Data Consortium and the University of Pennsylvania for the DARPA LORELEI Program.

Segmentation

Corpus Building for Low Resource Languages in the DARPA LORELEI Program

no code implementations • WS 2019 • Jennifer Tracey, Stephanie Strassel, Ann Bies, Zhiyi Song, Michael Arrigo, Kira Griffitt, Dana Delgado, Dave Graff, Seth Kulick, Justin Mott, Neil Kuster

Cross-Document, Cross-Language Event Coreference Annotation Using Event Hoppers

no code implementations • LREC 2018 • Zhiyi Song, Ann Bies, Justin Mott, Xuansong Li, Stephanie Strassel, Christopher Caruso

Knowledge Base Population

A Comparison of Event Representations in DEFT

no code implementations • WS 2016 • Ann Bies, Zhiyi Song, Jeremy Getman, Joe Ellis, Justin Mott, Stephanie Strassel, Martha Palmer, Teruko Mitamura, Marjorie Freedman, Heng Ji, Tim O{'}Gorman

Anomaly Detection

Parallel Chinese-English Entities, Relations and Events Corpora

no code implementations • LREC 2016 • Justin Mott, Ann Bies, Zhiyi Song, Stephanie Strassel

This paper introduces the parallel Chinese-English Entities, Relations and Events (ERE) corpora developed by Linguistic Data Consortium under the DARPA Deep Exploration and Filtering of Text (DEFT) Program.

Knowledge Base Population Translation

From Light to Rich ERE: Annotation of Entities, Relations, and Events

no code implementations • WS 2015 • Zhiyi Song, Ann Bies, Stephanie Strassel, Tom Riese, Justin Mott, Joe Ellis, Jonathan Wright, Seth Kulick, Neville Ryant, Xiaoyi Ma

Anomaly Detection Reading Comprehension

Parser Evaluation Using Derivation Trees: A Complement to evalb

no code implementations • ACL 2014 • Seth Kulick, Ann Bies, Justin Mott, Anthony Kroch, Beatrice Santorini, Mark Liberman

Domain Adaptation

Inter-annotator Agreement for ERE annotation

no code implementations • WS 2014 • Seth Kulick, Ann Bies, Justin Mott

Incorporating Alternate Translations into English Translation Treebank

no code implementations • LREC 2014 • Ann Bies, Justin Mott, Seth Kulick, Jennifer Garland, Colin Warner

New annotation guidelines and new processing methods were developed to accommodate English treebank annotation of a parallel English/Chinese corpus of web data that includes alternate English translations (one fluent, one literal) of expressions that are idiomatic in the Chinese source.

Machine Translation Translation

Using Derivation Trees for Informative Treebank Inter-Annotator Agreement Evaluation

no code implementations • NAACL 2013 • Seth Kulick, Ann Bies, Justin Mott, Mohamed Maamouri, Beatrice Santorini, Anthony Kroch

Using Supertags and Encoded Annotation Principles for Improved Dependency to Phrase Structure Conversion

no code implementations • NAACL 2012 • Seth Kulick, Ann Bies, Justin Mott

Dependency Parsing

Further Developments in Treebank Error Detection Using Derivation Trees

no code implementations • LREC 2012 • Seth Kulick, Ann Bies, Justin Mott

Annotation of word sequences are compared both for their internal structural consistency, and their external relation to the rest of the tree.

Part-Of-Speech Tagging Relation +2