add results of LM-LSTM-CRF (Liu et al., AAAI 18) for the named entity…

… recognition and POS tagging

named_entity_recognition.md

@@ -20,6 +20,7 @@ corpus tagged with four different entity types (PER, LOC, ORG, MISC). Models are
 | Flair embeddings (Akbik et al., 2018) | 93.09 | [Contextual String Embeddings for Sequence Labeling](https://drive.google.com/file/d/17yVpFA7MmXaQFTe-HDpZuqw9fJlmzg56/view) | [Flair framework](https://github.com/zalandoresearch/flair)
 | BiLSTM-CRF+ELMo (Peters et al., 2018) | 92.22 | [Deep contextualized word representations](https://arxiv.org/abs/1802.05365) | |
 | Peters et al. (2017) | 91.93 | [Semi-supervised sequence tagging with bidirectional language models](https://arxiv.org/abs/1705.00108) | |
+| LM-LSTM-CRF (Liu et al., 2018)| 91.71 | [Empowering Character-aware Sequence Labeling with Task-Aware Neural Language Model](https://arxiv.org/pdf/1709.04109.pdf) | [LM-LSTM-CRF](https://github.com/LiyuanLucasLiu/LM-LSTM-CRF) |
 | Yang et al. (2017) | 91.26 | [Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks](https://arxiv.org/abs/1703.06345) | |
 | Ma and Hovy (2016) | 91.21 | [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://arxiv.org/abs/1603.01354) | |
 | LSTM-CRF (Lample et al., 2016) | 90.94 | [Neural Architectures for Named Entity Recognition](https://arxiv.org/abs/1603.01360) | |

part-of-speech_tagging.md

@@ -23,6 +23,7 @@ different POS tags. Sections 0-18 are used for training, sections 19-21 for deve
 | Adversarial Bi-LSTM (Yasunaga et al., 2018) | 97.59 | [Robust Multilingual Part-of-Speech Tagging via Adversarial Training](https://arxiv.org/abs/1711.04903) | 
 | Yang et al. (2017) | 97.55 | [Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks](https://arxiv.org/abs/1703.06345) |
 | Ma and Hovy (2016) | 97.55 | [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://arxiv.org/abs/1603.01354) |
+| LM-LSTM-CRF (Liu et al., 2018)| 97.53 | [Empowering Character-aware Sequence Labeling with Task-Aware Neural Language Model](https://arxiv.org/pdf/1709.04109.pdf) |
 | Feed Forward (Vaswani et a. 2016) | 97.4 | [Supertagging with LSTMs](https://aclweb.org/anthology/N/N16/N16-1027.pdf) |
 | Bi-LSTM (Ling et al., 2017) | 97.36 | [Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation](https://www.aclweb.org/anthology/D/D15/D15-1176.pdf) | | 
 | Bi-LSTM (Plank et al., 2016) | 97.22 | [Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss](https://arxiv.org/abs/1604.05529) |