DE eng

Search in the Catalogues and Directories

Hits 1 – 7 of 7

1
EmailSum: Abstractive Email Thread Summarization ...
BASE
Show details
2
Generation-Augmented Retrieval for Open-Domain Question Answering ...
BASE
Show details
3
GO FIGURE: A Meta Evaluation of Factuality in Summarization ...
BASE
Show details
4
UnitedQA: A Hybrid Approach for Open Domain Question Answering ...
BASE
Show details
5
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching ...
BASE
Show details
6
Reader-Guided Passage Reranking for Open-Domain Question Answering ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.29 Abstract: Current open-domain question answering systems often follow a Retriever-Reader architecture, where the retriever first retrieves relevant passages and the reader then reads the retrieved passages to form an answer. In this paper, we propose a simple and effective passage reranking method, named Reader-guIDEd Reranker (RIDER), which does not involve training and reranks the retrieved passages solely based on the top predictions of the reader before reranking. We show that RIDER, despite its simplicity, achieves 10 to 20 absolute gains in top-1 retrieval accuracy and 1 to 4 Exact Match (EM) gains without refining the retriever or reader. In addition, RIDER, without any training, outperforms state-of-the-art transformer-based supervised rerankers. Remarkably, RIDER achieves 48.3 EM on the Natural Questions dataset and 66.4 EM on the TriviaQA dataset when only 1,024 tokens (7.8 passages on average) are used as the reader input after passage ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/26120-reader-guided-passage-reranking-for-open-domain-question-answering
https://dx.doi.org/10.48448/cn0b-dw73
BASE
Hide details
7
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems ...
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
7
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern