Search Results for author: Tim O'Gorman

Found 10 papers, 6 papers with code

DocAMR: Multi-Sentence AMR Representation and Evaluation

1 code implementation NAACL 2022 Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider

Despite extensive research on parsing of English sentences into Abstraction Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-document parsing into a unified graph representation lacks well-defined representation and evaluation.

coreference-resolution Sentence

CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example

1 code implementation24 Mar 2021 Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani

Query by Example is a well-known information retrieval task in which a document is chosen by the user as the search query and the goal is to retrieve relevant documents from a large collection.

Information Retrieval Retrieval

Adposition and Case Supersenses v2.6: Guidelines for English

4 code implementations7 Apr 2017 Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Sarah R. Moeller, Omri Abend, Adi Shalev, Austin Blodgett, Jakob Prange

This document offers a detailed linguistic description of SNACS (Semantic Network of Adposition and Case Supersenses; Schneider et al., 2018), an inventory of 52 semantic labels ("supersenses") that characterize the use of adpositions and case markers at a somewhat coarse level of granularity, as demonstrated in the STREUSLE corpus (https://github. com/nert-nlp/streusle/ ; version 4. 5 tracks guidelines version 2. 6).

Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions

no code implementations10 Mar 2017 Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, Nathan Schneider

We consider the semantics of prepositions, revisiting a broad-coverage annotation scheme used for annotating all 4, 250 preposition tokens in a 55, 000 word corpus of English.

A corpus of preposition supersenses in English web reviews

no code implementations8 May 2016 Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Kathryn Conger, Tim O'Gorman, Martha Palmer

We present the first corpus annotated with preposition supersenses, unlexicalized categories for semantic functions that can be marked by English prepositions (Schneider et al., 2015).

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