Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Xiubo Geng"'
Publikováno v:
IEEE transactions on neural networks and learning systems.
To date, most of the existing open-domain question answering (QA) methods focus on explicit questions where the reasoning steps are mentioned explicitly in the question. In this article, we study implicit QA where the reasoning steps are not evident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47c9e7333bd6cf872110fc7851239015
https://pubmed.ncbi.nlm.nih.gov/36378786
https://pubmed.ncbi.nlm.nih.gov/36378786
Publikováno v:
Information Processing & Management. 60:103145
Machine reading comprehension (MRC) is a challenging task in the field of artificial intelligence. Most existing MRC works contain a semantic matching module, either explicitly or intrinsically, to determine whether a piece of context answers a quest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97413fa3d5bfe901f048ab0a2b3b271c
https://doi.org/10.1016/j.ipm.2022.103145
https://doi.org/10.1016/j.ipm.2022.103145
Autor:
Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang
Generating natural and informative texts has been a long-standing problem in NLP. Much effort has been dedicated into incorporating pre-trained language models (PLMs) with various open-world knowledge, such as knowledge graphs or wiki pages. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58ceeddfa2a7756a710e4cc52945e229
http://arxiv.org/abs/2203.08517
http://arxiv.org/abs/2203.08517
Generating new events given context with correlated ones plays a crucial role in many event-centric reasoning tasks. Existing works either limit their scope to specific scenarios or overlook event-level correlations. In this paper, we propose to pre-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5954803651093189a2f169fc67a5e857
http://arxiv.org/abs/2203.02225
http://arxiv.org/abs/2203.02225
This paper focuses on the Data Augmentation for low-resource Natural Language Understanding (NLU) tasks. We propose Prompt-based D}ata Augmentation model (PromDA) which only trains small-scale Soft Prompt (i.e., a set of trainable vectors) in the fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8f318e8f4da36b6d2e216b8948b5a1e
http://arxiv.org/abs/2202.12499
http://arxiv.org/abs/2202.12499
Retrieval models based on dense representations in semantic space have become an indispensable branch for first-stage retrieval. These retrievers benefit from surging advances in representation learning towards compressive global sequence-level embed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca2675eb9deae8e6739fdd9cbe5ca6c
Publikováno v:
IEEE transactions on neural networks and learning systems.
Deep neural network-based models have achieved great success in extractive question answering. Recently, many works have been proposed to model multistage matching for this task, which usually first retrieve relevant paragraphs or sentences and then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2cc263ebb52baf9a80f53e0da775199
https://pubmed.ncbi.nlm.nih.gov/34478387
https://pubmed.ncbi.nlm.nih.gov/34478387
Publikováno v:
KDD
Language scaling aims to deploy Natural Language Processing (NLP) applications economically across many countries/regions with different languages. Language scaling has been heavily invested by industry since many parties want to deploy their applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5cfc04d3852c3cfe9fdb56ac86364d
https://doi.org/10.1145/3447548.3470791
https://doi.org/10.1145/3447548.3470791
Publikováno v:
WWW
Procedural text describes dynamic state changes during a step-by-step natural process (e.g., photosynthesis). In this work, we focus on the task of procedural text understanding, which aims to comprehend such documents and track entities' states and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7f542758108d4562a24a5a3a83bb03
https://doi.org/10.1145/3442381.3450126
https://doi.org/10.1145/3442381.3450126
Publikováno v:
WWW
Entity candidate retrieval plays a critical role in cross-lingual entity linking (XEL). In XEL, entity candidate retrieval needs to retrieve a list of plausible candidate entities from a large knowledge graph in a target language given a piece of tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db4a2430d5a3ca0f38e6e75c31787b28
https://doi.org/10.1145/3442381.3449852
https://doi.org/10.1145/3442381.3449852