Papers by Douglas Oard
Cross-language Sentence Selection via Data Augmentation and Rationale Training (2021.acl-long)
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| Challenge: | a new approach to cross-language sentence selection is proposed for low-resource contexts . a cross-lingual embedding-based model is proposed that avoids translation entirely . |
| Approach: | They propose a cross-lingual embedding-based query relevance model that uses data augmentation and negative sampling techniques to directly learn a query-sentence pair. |
| Outcome: | The proposed approach performs better than state-of-the-art models on noisy parallel data . consistent improvements are seen across three language pairs over state- of-the art models . |
Syntopical Graphs for Computational Argumentation Tasks (2021.acl-long)
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Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, Henning Wachsmuth
| Challenge: | adler and van Doren (1940) proposed a formalized manual process for understanding a topic based on multiple viewpoints. |
| Approach: | They propose a syntopical reading process that emphasizes comparing and contrasting viewpoints to improve topic understanding. |
| Outcome: | The proposed method outperforms approaches that do not use collection-level information. |
A Joint Model for Document Segmentation and Segment Labeling (2020.acl-main)
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| Challenge: | Existing approaches to text segmentation focus on document segmentation and segment labeling separately. |
| Approach: | They propose a method for jointly segmenting a document and labeling segments . they show that S-LSTM reduces segmentation error by 30% on average . |
| Outcome: | The proposed method reduces segmentation error by 30% while improving segment labeling. |
A Prioritization Model for Suicidality Risk Assessment (2020.acl-main)
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| Challenge: | Existing methods for predicting suicide have failed for fifty years . however, with the advent of machine learning, the problem is gaining momentum . |
| Approach: | They propose a method that jointly ranks individuals and their social media posts to improve suicide risk assessment. |
| Outcome: | The proposed approach outperforms existing methods in a case study using expert-annotated test collection. |
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization (2022.coling-1)
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Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscakova, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas Oard, Kathleen McKeown
| Challenge: | Query-focused summarization of foreign-language documents can help a user understand whether a document is relevant to a query term. |
| Approach: | They propose to use machine translation and post-editing to improve human relevance judgments . they include a query term in a summary when its translation appears in the source document . |
| Outcome: | The proposed approach improves human relevance judgments by including a query term in a summary when its translation appears in the source document. |