Search Results for author: Douglas Oard

Found 15 papers, 1 papers with code

On the Evaluation of Machine Translation n-best Lists

no code implementations EMNLP (Eval4NLP) 2020 Jacob Bremerman, Huda Khayrallah, Douglas Oard, Matt Post

The first and principal contribution is an evaluation measure that characterizes the translation quality of an entire n-best list by asking whether many of the valid translations are placed near the top of the list.

Machine Translation Translation +1

HC4: A New Suite of Test Collections for Ad Hoc CLIR

1 code implementation24 Jan 2022 Dawn Lawrie, James Mayfield, Douglas Oard, Eugene Yang

HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in English and in the document languages, and graded relevance judgments.

Active Learning Information Retrieval +2

Syntopical Graphs for Computational Argumentation Tasks

no code implementations ACL 2021 Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, Henning Wachsmuth

Approaches to computational argumentation tasks such as stance detection and aspect detection have largely focused on the text of independent claims, losing out on potentially valuable context provided by the rest of the collection.

Stance Detection

Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes

no code implementations27 Apr 2021 Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, Parminder Bhatia

The records of a clinical encounter can be extensive and complex, thus placing a premium on tools that can extract and summarize relevant information.

Hallucination Informativeness +2

A Prioritization Model for Suicidality Risk Assessment

no code implementations ACL 2020 Han-Chin Shing, Philip Resnik, Douglas Oard

We reframe suicide risk assessment from social media as a ranking problem whose goal is maximizing detection of severely at-risk individuals given the time available.

Retrieval

MATERIALizing Cross-Language Information Retrieval: A Snapshot

no code implementations LREC 2020 Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Esk, Ramy er, Rui Zhang

At about the midpoint of the IARPA MATERIAL program in October 2019, an evaluation was conducted on systems{'} abilities to find Lithuanian documents based on English queries.

Information Retrieval Retrieval

Creating and Curating a Cross-Language Person-Entity Linking Collection

no code implementations LREC 2012 Dawn Lawrie, James Mayfield, Paul McNamee, Douglas Oard

To stimulate research in cross-language entity linking, we present a new test collection for evaluating the accuracy of cross-language entity linking in twenty-one languages.

Entity Linking Knowledge Base Population +1

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