Titlebook: Chinese Computational Linguistics; 22nd China National Maosong Sun,Bing Qin,Yubo Chen Conference proceedings 2023 The Editor(s) (if applic

誓言

太空

E. J. Lous,M. Huber,R. A. Isaacson,G. Feherodels. To facilitate the research, we develop two datasets in English and Chinese respectively, on which extensive experiments are conducted. Experimental results show that our approach provides more precise control over lexical complexity, as well as better fluency and diversity.

Headstrong

顯微鏡

https://doi.org/10.1007/3-540-11699-0sk. Unlike prior RL-based RE approaches that usually fit value functions or compute policy gradients, TERL only outputs the best actions by utilizing a masked Transformer. Experimental results show that the proposed TERL framework can improve many state-of-the-art RL-based RE methods.

ASSET

ATOPY

Polymerization with Formaldehyde,e Engineering, which contains a wealth of domain-specific knowledge. The experimental results on SSUIE-RE demonstrate the effectiveness of our method, achieving a 1.4% absolute improvement in relation F1 score over previous best approach.

Ascendancy

Talkative

attenuate

A精確的

Overcoming Language Priors with?Counterfactual Inference for?Visual Question Answering efforts, causal inference is regarded as a promising direction to mitigate language bias by weakening the direct causal effect of questions on answers. In this paper, we follow the same direction and attack the issue of language priors by incorporating counterfactual data. Moreover, we propose a tw