Zobrazeno 1 - 10
of 26
pro vyhledávání: '"O'Gorman, Tim"'
Autor:
Cheng, Qi, Boratko, Michael, Yelugam, Pranay Kumar, O'Gorman, Tim, Singh, Nalini, McCallum, Andrew, Li, Xiang Lorraine
Large language models have demonstrated impressive performance on commonsense tasks; however, these tasks are often posed as multiple-choice questions, allowing models to exploit systematic biases. Commonsense is also inherently probabilistic with mu
Externí odkaz:
http://arxiv.org/abs/2406.04145
Autor:
Naseem, Tahira, Blodgett, Austin, Kumaravel, Sadhana, O'Gorman, Tim, Lee, Young-Suk, Flanigan, Jeffrey, Astudillo, Ramón Fernandez, Florian, Radu, Roukos, Salim, Schneider, Nathan
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 rep
Externí odkaz:
http://arxiv.org/abs/2112.08513
Autor:
Kennard, Neha, O'Gorman, Tim, Das, Rajarshi, Sharma, Akshay, Bagchi, Chhandak, Clinton, Matthew, Yelugam, Pranay Kumar, Zamani, Hamed, McCallum, Andrew
At the foundation of scientific evaluation is the labor-intensive process of peer review. This critical task requires participants to consume vast amounts of highly technical text. Prior work has annotated different aspects of review argumentation, b
Externí odkaz:
http://arxiv.org/abs/2110.08520
Autor:
Xu, Zhiyang, Drozdov, Andrew, Lee, Jay Yoon, O'Gorman, Tim, Rongali, Subendhu, Finkbeiner, Dylan, Suresh, Shilpa, Iyyer, Mohit, McCallum, Andrew
For over thirty years, researchers have developed and analyzed methods for latent tree induction as an approach for unsupervised syntactic parsing. Nonetheless, modern systems still do not perform well enough compared to their supervised counterparts
Externí odkaz:
http://arxiv.org/abs/2109.05112
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. However, a document often covers multiple aspects of a t
Externí odkaz:
http://arxiv.org/abs/2103.12906
Autor:
Boratko, Michael, Li, Xiang Lorraine, Das, Rajarshi, O'Gorman, Tim, Le, Dan, McCallum, Andrew
Given questions regarding some prototypical situation such as Name something that people usually do before they leave the house for work? a human can easily answer them via acquired experiences. There can be multiple right answers for such questions,
Externí odkaz:
http://arxiv.org/abs/2005.00771
Autor:
Schneider, Nathan, Hwang, Jena D., Srikumar, Vivek, Bhatia, Archna, Han, Na-Rae, O'Gorman, Tim, Moeller, Sarah R., Abend, Omri, Shalev, Adi, Blodgett, Austin, Prange, Jakob
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 marker
Externí odkaz:
http://arxiv.org/abs/1704.02134
Autor:
Hwang, Jena D., Bhatia, Archna, Han, Na-Rae, O'Gorman, Tim, Srikumar, Vivek, Schneider, Nathan
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. Attempts to apply the scheme to adpositions and case markers in other langua
Externí odkaz:
http://arxiv.org/abs/1703.03771
Autor:
Schneider, Nathan, Hwang, Jena D., Srikumar, Vivek, Green, Meredith, Conger, Kathryn, O'Gorman, Tim, Palmer, Martha
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). That scheme improves upon its predecessors to better facilitate c
Externí odkaz:
http://arxiv.org/abs/1605.02257