Our system adopts the architecture of<cite> Chiu and Nichols (2016)</cite> , which combined BLSTMs to maximize context over the tagged word sequence and word-level CNNs to automatically generate characterlevel features with a partial-matching lexicon to achieve the state-of-the-art for NER on both CoNLL 2003 and OntoNotes datasets.