Многошаговый QA

task ID: multihopqa

Related Papers

Repurposing Entailment for Multi-Hop Question Answering Tasks

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractQuestion Answering (QA) naturally reduces to an entailment problem, namely, verifying whether some text entails the answer to a question. However, for multi-hop QA tasks, which require reasoning with multiple …...

21984

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMulti-hop QA requires a model to connect multiple pieces of evidence scattered in a long context to answer the question. The recently proposed HotpotQA (Yang et al., 2018) dataset is …...

9058

SRLGRN: Semantic Role Labeling Graph Reasoning Network

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis work deals with the challenge of learning and reasoning over multi-hop question answering (QA). We propose a graph reasoning network based on the semantic structure of the sentences to …...

29736

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMulti-hop reasoning requires aggregation and inference from multiple facts. To retrieve such facts, we propose a simple approach that retrieves and reranks set of evidence facts jointly. Our approach first …...

21488

Latent Reasoning for Low-Resource Question Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Multi-hop question generation requires com- plex reasoning and coherent language realiza- tion. Learning a generation model for the problem requires extensive multi-hop question answering (QA) data, which are limited due …...

33918

ReadOnce Transformers: Reusable Representations of Text for Transformers

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe present ReadOnce Transformers, an approach to convert a transformer-based model into one that can build an information-capturing, task-independent, and compressed representation of text. The resulting representation is reusable across …...

8006

Unsupervised Multi-hop Question Answering by Question Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractObtaining training data for multi-hop question answering (QA) is time-consuming and resource-intensive. We explore the possibility to train a well-performed multi-hop QA model without referencing any human-labeled multi-hop question-answer pairs, …...

21276

Weakly Supervised Pre-Training for Multi-Hop Retriever

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

In multi-hop QA, answering complex ques- tions entails iterative document retrieval for finding the missing entity of the question. The main steps of this process are sub-question detection, document retrieval …...

34122

Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper presents Diff-Explainer, the first hybrid framework for explainable multi-hop inference that integrates explicit constraints with neural architectures through differentiable convex optimization. Specifically, Diff- Explainer allows for the fine-tuning …...

26723

Modeling Multi-hop Question Answering as Single Sequence Prediction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractFusion-in-decoder (Fid) (Izacard and Grave, 2020) is a generative question answering (QA) model that leverages passage retrieval with a pre-trained transformer and pushed the state of the art on single-hop …...

39307

VIMQA: A Vietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question Answering

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractVietnamese is the native language of over 98 million people in the world. However, existing Vietnamese Question Answering (QA) datasets do not explore the model’s ability to perform advanced reasoning …...

14379

Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMulti-hop QA requires reasoning over multiple supporting facts to answer the question. However, the existing QA models always rely on shortcuts, e.g., providing the true answer by only one fact, …...

38624

Few-shot Reranking for Multi-hop QA via Language Model Prompting

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe study few-shot reranking for multi-hop QA (MQA) with open-domain questions. To alleviate the need for a large number of labeled question-document pairs for retriever training, we propose PromptRank, which …...

37535