Issues/problems in the use of human-nature metaphors in environmental discourses5 answersIssues in the use of human-nature metaphors in environmental discourses stem from various factors. Anthropomorphism in environmental communication can lead to anthropocentrism, potentially overlooking the broader ecological perspective. Additionally, the prevalent use of metaphors portraying humans as unidirectionally acting upon a passive environment may undervalue nature's independent force and power over humans. Furthermore, differences in the metaphors used in Chinese and English ecological discourses can reflect varying ideologies and hinder cross-cultural understanding of environmental issues. These issues highlight the need for a balanced approach to human-nature metaphors that accurately represent the interconnectedness and mutual influence between humans and the environment, avoiding biases and promoting a holistic view of environmental relationships.
Natural language generation for conversational AI applications?5 answersNatural Language Generation (NLG) plays a crucial role in enhancing conversational AI applications. NLG algorithms are utilized to create text in various languages, improving the design and usability of chatbots. NLG enables computer systems to produce understandable texts in human languages, making it a vital component in AI applications like customer service, personal assistants, and virtual assistants. NLG has evolved significantly with the advent of deep learning techniques, particularly in fields like healthcare where automatic medical report generation is becoming essential. By automatically generating grammatically valid sentences, NLG methods can enhance conversational intelligence in AI systems, enabling them to handle natural language material more effectively. Overall, NLG is pivotal for developing conversational AI that can engage in lifelike and contextually relevant interactions with users.
What are the possible topics about discourse?5 answersDiscourse topics are a complex and subjective notion, and there are multiple approaches to identifying them. Some methods include theme-rheme progression, give-new progression, speech act analysis, lexical analysis, association-based networks of concepts, and topic-based analysis. Different coherence relations in discourse make different demands on what topics should do, and the construction of a topic is essential for establishing Narration. Topics can be treated as fuzzy concepts and identified through methods such as topical structure analysis, given-new progression, lexical analysis, and topic-based analysis. Discourse, speech act, and utterance are interconnected linguistic constructions that play a role in understanding discourse. Utterance, as a minimal unit of speech production, serves as a definitional domain for speech acts within a discourse.
What are advantages of discourse program?4 answersDiscourse programs have several advantages. Firstly, they enhance epistemology, pedagogy, and assessments in computer-mediated collaborative learning environments, intelligent tutoring systems, and MOOC environments. Secondly, they promote positive messaging and foster connections between masculine ideals and desired behavior changes in men's health promotion programs. Thirdly, discourse moves aligned with responding to students' thinking and promoting productive dispositions create positive experiences for students. Lastly, engagement in discourse, such as debate and discussion, is effective for vocabulary acquisition and classroom instruction for second and foreign language learners.
What is natural processing languaje?5 answersNatural language processing (NLP) refers to the way machines and computers process and understand human languages. It is a multi-disciplinary field driven by various applications such as text understanding, text composition, machine translation, code generation, error detection, identification of grammatical errors, data fusion, and decision making in speech recognition systems. NLP involves mimicking aspects of language processing in our heads using information fusion and competing patterns. This special issue is dedicated to the intersection of NLP and human-computer interaction.
What is the discourse competence in academic writing?5 answersDiscourse competence in academic writing refers to the ability to create coherent and cohesive written texts that effectively convey meaning and engage readers. It involves the use of discourse connectors, such as logical connectives, to establish relationships between sentences and paragraphs, ensuring smooth flow and organization of ideas. Additionally, discourse competence encompasses the skills of topic building, global coherence, local coherence, and reader-writer interactions, which contribute to the overall structure and clarity of the text. It also involves the knowledge of composing strategies and genre conventions specific to academic writing, as well as effective time management for researching, writing, and revising. Developing discourse competence is crucial for students to enhance their writing skills and effectively communicate their ideas in academic contexts.