291 citations · 3k across the 73 of their papers we have counts for
6 papers · 2 filters
Instance-based Transfer Learning for Multilingual Deep Retrieval
Andrew O. Arnold, William W. Cohen
We focus on the problem of search in the multilingual setting. Examining the problems of next-sentence prediction and inverse cloze, we show that at large scale, instance-based tra…
PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu +2
We introduce PubMedQA, a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research questions with yes/no/maybe (e…
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh +3
Automatically constructed datasets for generating text from semi-structured data (tables), such as WikiBio, often contain reference texts that diverge from the information in the c…
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
We consider open-domain queston answering (QA) where answers are drawn from either a corpus, a knowledge base (KB), or a combination of both of these. We focus on a setting in whic…
Probing Biomedical Embeddings from Language Models
Qiao Jin, Bhuwan Dhingra, William W. Cohen +1
Contextualized word embeddings derived from pre-trained language models (LMs) show significant improvements on downstream NLP tasks. Pre-training on domain-specific corpora, such a…
Incremental Reading for Question Answering
Samira Abnar, Tania Bedrax-weiss, Tom Kwiatkowski +1
Any system which performs goal-directed continual learning must not only learn incrementally but process and absorb information incrementally. Such a system also has to understand…