Search Results for author: Yue Feng

Found 9 papers, 4 papers with code

Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge

no code implementations Findings (NAACL) 2022 Yue Feng, Zhen Han, Mingming Sun, Ping Li

DEHG employs a graph constructor to integrate structured and unstructured information, a context encoder to represent nodes and question, a heterogeneous information reasoning layer to conduct multi-hop reasoning on both information sources, and an answer decoder to generate answers for the question.

Open-Domain Question Answering

A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering

no code implementations18 Mar 2023 Zhen Han, Yue Feng, Mingming Sun

Hence, a new benchmark challenge set for open-ended commonsense reasoning (OpenCSR) has been recently released, which contains natural science questions without any predefined choices.

Multiple-choice Question Answering +1

Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access

1 code implementation10 Dec 2022 Yue Feng, Gerasimos Lampouras, Ignacio Iacobacci

To alleviate the problem of structured databases' limited coverage, recent task-oriented dialogue systems incorporate external unstructured knowledge to guide the generation of system responses.

Response Generation Task-Oriented Dialogue Systems

Learning to Execute Actions or Ask Clarification Questions

1 code implementation Findings (NAACL) 2022 Zhengxiang Shi, Yue Feng, Aldo Lipani

In this paper, we extend the Minecraft Corpus Dataset by annotating all builder utterances into eight types, including clarification questions, and propose a new builder agent model capable of determining when to ask or execute instructions.

Learning to Execute

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

no code implementations ACL 2022 Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz

Existing approaches that have considered such relations generally fall short in: (1) fusing prior slot-domain membership relations and dialogue-aware dynamic slot relations explicitly, and (2) generalizing to unseen domains.

Dialogue State Tracking Multi-domain Dialogue State Tracking +1

ASSIST: Towards Label Noise-Robust Dialogue State Tracking

1 code implementation Findings (ACL) 2022 Fanghua Ye, Yue Feng, Emine Yilmaz

In this paper, instead of improving the annotation quality further, we propose a general framework, named ASSIST (lAbel noiSe-robuSt dIalogue State Tracking), to train DST models robustly from noisy labels.

Dialogue State Tracking

Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts

no code implementations ACL 2020 Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li

Compared to the state-of-the-art methods, the learned network structures help improving the identification of concepts for entities based on the relations of entities on both datasets.

Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

no code implementations29 Apr 2019 Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li

In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain.

Open Information Extraction Relation Extraction

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