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Anaphora Resolution Using Linguisitic Cues, Dialogue Context, and General Knowledge

机译:使用语言提示,对话上下文和常识的回指解析

摘要

An automatic conversational system has multiple computer-implemented dialogue components for conducting an automated dialogue process with a human user. A user client delivers dialogue output prompts to the human user and receives dialogue input responses from the human user including speech inputs. An automatic speech recognition engine processes the speech inputs to determine corresponding sequences of representative text words. A natural language understanding (NLU) processing arrangement processes the dialogue input responses and the text words to determine corresponding semantic interpretations. The NLU processing arrangement includes an anaphora processor that accesses different information sources characterizing dialogue context, linguistic features, and NLU features to identify unresolved anaphora in the text words needing resolution in order to determine a semantic interpretation. A dialogue manager manages the dialogue process with the human user based on the semantic interpretations.
机译:自动对话系统具有多个计算机实现的对话组件,用于与人类用户进行自动对话过程。用户客户端将对话输出提示传递给人类用户,并从人类用户接收对话输入响应,包括语音输入。自动语音识别引擎处理语音输入以确定代表文本单词的相应序列。自然语言理解(NLU)处理装置处理对话输入响应和文本单词,以确定相应的语义解释。 NLU处理装置包括回指处理器,该回指处理器访问表征对话上下文,语言特征和NLU特征的不同信息源,以识别需要解析以便确定语义解释的文本词中未解析的回指。对话管理器基于语义解释来管理与人类用户的对话过程。

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