Reranker
Related Papers
Log-Linear Models of Non-Projective Trees, k-best MST Parsing and Tree-Ranking
We present our system used in the CoNLL 2007 shared task on multilingual parsing. The system is composed of three compo- nents: a k-best maximum spanning tree (MST) parser, a …...
Corpus and Method for Identifying Citations in Non-Academic Text
AbstractWe attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a …...
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
AbstractThis paper considers the reading comprehension task in which multiple documents are given as input. Prior work has shown that a pipeline of retriever, reader, and reranker can improve the …...
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2
AbstractWe describe a weakly-supervised method for training deep learning models for the task of ad-hoc document retrieval. Our method is based on generative and discriminative models that are trained using …...
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering
AbstractTo address the Conversational Question Answering (ORConvQA) task, previous work has considered an effective three-stage architecture, consisting of a retriever, a reranker, and a reader to extract the answers. In …...