Ашық домен Сұрақ-Жауап

task ID: opendomainqa

Related Papers

Speech Grammars for Textual Entailment Patterns in Multimodal Question Answering

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractOver the last several years, speech-based question answering (QA) has become very popular in contrast to pure search engine based approaches on a desktop. Open-domain QA systems are now much …...

7705

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractBERT model has been successfully applied to open-domain QA tasks. However, previous work trains BERT by viewing passages corresponding to the same question as independent training instances, which may cause …...

8919

Explaining Answers with Entailment Trees

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractOur goal, in the context of open-domain textual question-answering (QA), is to explain answers by showing the line of reasoning from what is known to the answer, rather than simply …...

31376

UnitedQA: A Hybrid Approach for Open Domain Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractTo date, most of recent work under the retrieval-reader framework for open-domain QA focuses on either extractive or generative reader exclusively. In this paper, we study a hybrid approach for …...

8644

CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractUsers expect their queries to be answered by search systems, regardless of the query’s surface form, which include keyword queries and natural questions. Natural Language Understanding (NLU) components of Search …...

29852

Retrieval-guided Counterfactual Generation for QA

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractDeep NLP models have been shown to be brittle to input perturbations. Recent work has shown that data augmentation using counterfactuals — i.e. minimally perturbed inputs — can help ameliorate …...

39261

Evaluating Open-Domain Question Answering in the Era of Large Language Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLexical matching remains the de facto evaluation method for open-domain question answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate answer does not appear in the list of …...

38551