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 ...
BASE
Show 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? ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.759/ Abstract: Numerical reasoning based machine reading comprehension is a task that involves reading comprehension along with using arithmetic operations such as addition, subtraction, sorting, and counting. The DROP benchmark (Dua et al., 2019) is a recent dataset that has inspired the design of NLP models aimed at solving this task. The current standings of these models in the DROP leaderboard, over standard metrics, suggest that the models have achieved near-human performance. However, does this mean that these models have learned to reason? In this paper, we present a controlled study on some of the top-performing model architectures for the task of numerical reasoning. Our observations suggest that the standard metrics are incapable of measuring progress towards such tasks. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems
URL: https://underline.io/lecture/38070-numerical-reasoning-in-machine-reading-comprehension-tasks-are-we-there-yetquestion
https://dx.doi.org/10.48448/3sh5-9559
BASE
Hide 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