Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree |
0 |
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing |
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1418.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq |
1 |
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction |
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu |
https://www.aclweb.org/anthology/P19-1137.pdf |
2019 |
ACL |
# optim-sgd, train-mll, train-transfer, arch-lstm, search-viterbi, pre-fasttext, nondif-reinforce, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction |
Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1308.pdf |
2019 |
ACL |
# train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context |
1 |
Self-Supervised Dialogue Learning |
Jiawei Wu, Xin Wang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1375.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm |
3 |
Interpretable Neural Predictions with Differentiable Binary Variables |
Joost Bastings, Wilker Aziz, Ivan Titov |
https://www.aclweb.org/anthology/P19-1284.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree |
0 |
Unified Semantic Parsing with Weak Supervision |
Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/P19-1473.pdf |
2019 |
ACL |
# optim-sgd, arch-lstm, arch-att, arch-memo, nondif-reinforce, task-lm |
2 |
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. |
Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang |
https://www.aclweb.org/anthology/P19-1646.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation |
2 |
Visually Grounded Neural Syntax Acquisition |
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
https://www.aclweb.org/anthology/P19-1180.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-seq2seq |
0 |
Historical Text Normalization with Delayed Rewards |
Simon Flachs, Marcel Bollmann, Anders Søgaard |
https://www.aclweb.org/anthology/P19-1157.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon |
2 |
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts |
Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1264.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning |
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros |
https://www.aclweb.org/anthology/P19-1451.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq |
3 |
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation |
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou |
https://www.aclweb.org/anthology/P19-1288.pdf |
2019 |
ACL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Towards Comprehensive Description Generation from Factual Attribute-value Tables |
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui |
https://www.aclweb.org/anthology/P19-1600.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph |
1 |
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization |
Hai Ye, Wenjie Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1201.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation |
7 |
Entity-Relation Extraction as Multi-Turn Question Answering |
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li |
https://www.aclweb.org/anthology/P19-1129.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-att, arch-selfatt, arch-transformer, search-beam, nondif-reinforce, task-seq2seq |
0 |
Look Harder: A Neural Machine Translation Model with Hard Attention |
Sathish Reddy Indurthi, Insoo Chung, Sangha Kim |
https://www.aclweb.org/anthology/P19-1290.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
0 |
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports |
Baoyu Jing, Zeya Wang, Eric Xing |
https://www.aclweb.org/anthology/P19-1657.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq |
2 |
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards |
Hou Pong Chan, Wang Chen, Lu Wang, Irwin King |
https://www.aclweb.org/anthology/P19-1208.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, nondif-reinforce, task-spanlab |
1 |
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data |
Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang |
https://www.aclweb.org/anthology/P19-1434.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm |
0 |
A Prism Module for Semantic Disentanglement in Name Entity Recognition |
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li |
https://www.aclweb.org/anthology/P19-1532.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree |
0 |
Automatically Learning Data Augmentation Policies for Dialogue Tasks |
Tong Niu, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1132.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq |
0 |
Low-Resource Response Generation with Template Prior |
Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1197.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, nondif-reinforce, task-seq2seq, meta-init |
0 |
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations |
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu |
https://www.aclweb.org/anthology/D19-1334.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, search-beam, nondif-reinforce, task-lm, task-condlm |
1 |
Improving Generative Visual Dialog by Answering Diverse Questions |
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das |
https://www.aclweb.org/anthology/D19-1152.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq |
0 |
Select and Attend: Towards Controllable Content Selection in Text Generation |
Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine |
https://www.aclweb.org/anthology/D19-1054.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering |
Shiyue Zhang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1253.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
A Split-and-Recombine Approach for Follow-up Query Analysis |
Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1535.pdf |
2019 |
EMNLP |
# nondif-reinforce |
4 |
Emergent Linguistic Phenomena in Multi-Agent Communication Games |
Laura Harding Graesser, Kyunghyun Cho, Douwe Kiela |
https://www.aclweb.org/anthology/D19-1384.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq |
0 |
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning |
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1035.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce |
0 |
Learning Dynamic Context Augmentation for Global Entity Linking |
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren |
https://www.aclweb.org/anthology/D19-1026.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair |
0 |
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning |
Ruiping Li, Xiang Cheng |
https://www.aclweb.org/anthology/D19-1266.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models |
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/D19-1320.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq |
0 |
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue |
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston |
https://www.aclweb.org/anthology/D19-1203.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq |
0 |
Reading Like HER: Human Reading Inspired Extractive Summarization |
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
https://www.aclweb.org/anthology/D19-1300.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq |
0 |
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning |
Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1303.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq |
0 |
Let’s Ask Again: Refine Network for Automatic Question Generation |
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
https://www.aclweb.org/anthology/D19-1326.pdf |
2019 |
EMNLP |
# optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, nondif-reinforce |
0 |
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews |
Miao Fan, Chao Feng, Mingming Sun, Ping Li |
https://www.aclweb.org/anthology/D19-1177.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-gru, nondif-reinforce, task-seq2seq |
3 |
EGG: a toolkit for research on Emergence of lanGuage in Games |
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni |
https://www.aclweb.org/anthology/D19-3010.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, search-beam, nondif-reinforce, task-relation |
0 |
Collaborative Policy Learning for Open Knowledge Graph Reasoning |
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
https://www.aclweb.org/anthology/D19-1269.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm |
0 |
Learning Rhyming Constraints using Structured Adversaries |
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/D19-1621.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin |
0 |
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning |
Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao |
https://www.aclweb.org/anthology/D19-1264.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
2 |
Countering Language Drift via Visual Grounding |
Jason Lee, Kyunghyun Cho, Douwe Kiela |
https://www.aclweb.org/anthology/D19-1447.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq |
0 |
Adversarial Reprogramming of Text Classification Neural Networks |
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar |
https://www.aclweb.org/anthology/D19-1525.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-norm, arch-lstm, arch-att, arch-memo, nondif-reinforce, latent-topic |
0 |
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning |
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1560.pdf |
2019 |
EMNLP |
# optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree |
2 |
A Discrete Hard EM Approach for Weakly Supervised Question Answering |
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1284.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm |
5 |
Cooperative Learning of Disjoint Syntax and Semantics |
Serhii Havrylov, Germán Kruszewski, Armand Joulin |
https://www.aclweb.org/anthology/N19-1115.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
4 |
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering |
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku |
https://www.aclweb.org/anthology/N19-1031.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree |
4 |
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases |
Yu Chen, Lingfei Wu, Mohammed J. Zaki |
https://www.aclweb.org/anthology/N19-1299.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
17 |
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models |
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi |
https://www.aclweb.org/anthology/N19-1123.pdf |
2019 |
NAA-CL |
# reg-stopping, norm-gradient, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, nondif-reinforce, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network |
Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1091.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation |
7 |
Better, Faster, Stronger Sequence Tagging Constituent Parsers |
David Vilares, Mostafa Abdou, Anders Søgaard |
https://www.aclweb.org/anthology/N19-1341.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-gru, arch-cnn, arch-att, nondif-reinforce |
0 |
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision |
Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang |
https://www.aclweb.org/anthology/N19-1290.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree |
4 |
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression |
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos |
https://www.aclweb.org/anthology/N19-1071.pdf |