Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Rujun Han"'
Publikováno v:
EACL
Answer Sentence Selection (AS2) is an efficient approach for the design of open-domain Question Answering (QA) systems. In order to achieve low latency, traditional AS2 models score question-answer pairs individually, ignoring any information from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759700056c9ed4286eca1de9faadaca9
http://arxiv.org/abs/2101.12093
http://arxiv.org/abs/2101.12093
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3dc32471bd81789d2f333aea0a628e
https://doi.org/10.18653/v1/2021.emnlp-main.597
https://doi.org/10.18653/v1/2021.emnlp-main.597
Publikováno v:
EMNLP (1)
Extracting event temporal relations is a critical task for information extraction and plays an important role in natural language understanding. Prior systems leverage deep learning and pre-trained language models to improve the performance of the ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a625cc658c7a02fa3158a20ba772cca4
http://arxiv.org/abs/2009.07373
http://arxiv.org/abs/2009.07373
While pre-trained language models (PTLMs) have achieved noticeable success on many NLP tasks, they still struggle for tasks that require event temporal reasoning, which is essential for event-centric applications. We present a continual pre-training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::419d786bdfd4e5326cb5b408e6ae56dd
Publikováno v:
EMNLP (1)
A critical part of reading is being able to understand the temporal relationships between events described in a passage of text, even when those relationships are not explicitly stated. However, current machine reading comprehension benchmarks have p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32362bdfd886dca3385be1bddd12a838
Publikováno v:
CoNLL
We propose a novel deep structured learning framework for event temporal relation extraction. The model consists of 1) a recurrent neural network (RNN) to learn scoring functions for pair-wise relations, and 2) a structured support vector machine (SS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db7ddbc39554d4f2628416bed2c8a466
http://arxiv.org/abs/1909.10094
http://arxiv.org/abs/1909.10094
Publikováno v:
EMNLP/IJCNLP (1)
We propose a joint event and temporal relation extraction model with shared representation learning and structured prediction. The proposed method has two advantages over existing work. First, it improves event representation by allowing the event an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887b2eabdbe3a983d6d7f8bcaa6ee447
http://arxiv.org/abs/1909.05360
http://arxiv.org/abs/1909.05360
Publikováno v:
EMNLP
Conventional word embedding models do not leverage information from document meta-data, and they do not model uncertainty. We address these concerns with a model that incorporates document covariates to estimate conditional word embedding distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::500cbb2aebdb95323795bd238293b6ef
https://doi.org/10.18653/v1/d18-1527
https://doi.org/10.18653/v1/d18-1527
Publikováno v:
2008 Second International Symposium on Intelligent Information Technology Application.
In this paper, the channel of the underground coal mine (UCM) PLCs is analysis, which indicates the UCM PLCs is more complex than home PLCs and this channel can be described with multipath characteristics and strong noise interference characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e2c08492efe67910b1aafa9f42c751
https://doi.org/10.1109/iita.2008.453
https://doi.org/10.1109/iita.2008.453