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

AMR Beyond the Sentence: the Multi-sentence AMR corpus

no code implementations • COLING 2018 • Tim O{'}Gorman, Michael Regan, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Martha Palmer

There are few corpora that endeavor to represent the semantic content of entire documents.

Question Answering

Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation

no code implementations • LREC 2018 • Claire Bonial, Bianca Badarau, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Tim O{'}Gorman, Martha Palmer, Nathan Schneider

Machine Translation Question Answering

Simple Semantic Annotation and Situation Frames: Two Approaches to Basic Text Understanding in LORELEI

no code implementations • LREC 2018 • Kira Griffitt, Jennifer Tracey, Ann Bies, Stephanie Strassel

Transfer Learning

The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval

no code implementations • LREC 2016 • Kira Griffitt, Stephanie Strassel

The DARPA BOLT Information Retrieval evaluations target open-domain natural-language queries over a large corpus of informal text in English, Chinese and Egyptian Arabic.

Information Retrieval

Abstract Meaning Representation for Sembanking

no code implementations • WS 2013 • Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, Nathan Schneider

Prepositional Phrase Attachment Text Generation

Annotation Trees: LDC's customizable, extensible, scalable, annotation infrastructure

no code implementations • LREC 2012 • Jonathan Wright, Kira Griffitt, Joe Ellis, Stephanie Strassel, Brendan Callahan

In recent months, LDC has developed a web-based annotation infrastructure centered around a tree model of annotations and a Ruby on Rails application called the LDC User Interface (LUI).

Reading Comprehension

Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual

no code implementations • LREC 2012 • Xuansong Li, Stephanie Strassel, Heng Ji, Kira Griffitt, Joe Ellis

To advance information extraction and question answering technologies toward a more realistic path, the U. S. NIST (National Institute of Standards and Technology) initiated the KBP (Knowledge Base Population) task as one of the TAC (Text Analysis Conference) evaluation tracks.

Cross-Lingual Entity Linking Entity Linking +4