1 code implementation • 24 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.
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.
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.
no code implementations • ACL 2020 • Joe Barrow, Rajiv Jain, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik
Text segmentation aims to uncover latent structure by dividing text from a document into coherent sections.
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.
no code implementations • 27 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.
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.
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.
no code implementations • COLING 2022 • Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscakova, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas Oard, Kathleen McKeown
Query-focused summaries of foreign-language, retrieved documents can help a user understand whether a document is actually relevant to the query term.