DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6...8
Hits 21 – 40 of 148

21
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering ...
BASE
Show details
22
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation ...
BASE
Show details
23
Phrase Retrieval Learns Passage Retrieval, Too ...
BASE
Show details
24
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension ...
BASE
Show details
25
Relation-Guided Pre-Training for Open-Domain Question Answering ...
BASE
Show details
26
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs ...
BASE
Show details
27
English Machine Reading Comprehension Datasets: A Survey ...
BASE
Show details
28
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs ...
BASE
Show details
29
FinQA: A Dataset of Numerical Reasoning over Financial Data ...
BASE
Show details
30
Explaining Answers with Entailment Trees ...
BASE
Show details
31
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection ...
BASE
Show details
32
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning ...
BASE
Show details
33
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation ...
BASE
Show details
34
Joint Passage Ranking for Diverse Multi-Answer Retrieval ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.560/ Abstract: We study multi-answer retrieval, an under-explored problem that requires retrieving passages to cover multiple distinct answers for a given question. This task requires joint modeling of retrieved passages, as models should not repeatedly retrieve passages containing the same answer at the cost of missing a different valid answer. In this paper, we introduce JPR, the first joint passage retrieval model for multi-answer retrieval. JPR makes use of an autoregressive reranker that selects a sequence of passages, each conditioned on previously selected passages. JPR is trained to select passages that cover new answers at each timestep and uses a tree-decoding algorithm to enable flexibility in the degree of diversity. Compared to prior approaches, JPR achieves significantly better answer coverage on three multi-answer datasets. When combined with downstream question answering, the improved retrieval enables larger answer generation ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems
URL: https://underline.io/lecture/37264-joint-passage-ranking-for-diverse-multi-answer-retrieval
https://dx.doi.org/10.48448/6z1n-4s37
BASE
Hide details
35
SituatedQA: Incorporating Extra-Linguistic Contexts into QA ...
BASE
Show details
36
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph ...
BASE
Show details
37
What's in a Name? Answer Equivalence For Open-Domain Question Answering ...
BASE
Show details
38
Numerical reasoning in machine reading comprehension tasks: are we there yet? ...
BASE
Show details
39
Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0 ...
BASE
Show details
40
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering ...
BASE
Show details

Page: 1 2 3 4 5 6...8

Catalogues
Bibliographies
Linked Open Data catalogues
Online resources
Open access documents
148
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern