Semantic Role Labeling (SRL) has been extensively studied, mostly for understandingEnglish formal language. However, only a fewreports exist for informal conversational text,especially for language being used in the chatbot system. The challenges of informal textinglanguage include a wide variety of slangs andabbreviations, short sentences, as well as disorganized grammars. In this work, we proposean attention mechanism on top of Long ShortTerm Memory Networks architecture for solving SRL task on informal conversations. Thetask is evaluated on informal language usedon an Indonesian chatting platform. Our proposed model achieves F1 score of 82.68%.
|Number of pages||9|
|Publication status||Published - 2018|
|Event||32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018 - Hong Kong, Hong Kong|
Duration: 1 Dec 2018 → 3 Dec 2018
|Conference||32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018|
|Period||1/12/18 → 3/12/18|