Towards Context-adaptive Natural Language Processing Systems

نویسندگان

  • Robert Porzel
  • Michael Strube
چکیده

In this paper we will discuss several issues and requirements for enabling natural language processing systems to become context-adaptive. Given the fact that emerging systems feature speaker independent continuous speech recognition restricted to individual domains and are equipped with syntactic and semantic parsers for understanding input from these domains, we should begin to envision open multi-domain natural language processing systems. We will address the following issues arising in such open systems: How to divide natural language processing modules in context-variant and context-invariant components and how to enable the ensuing systems to detect contextual changes for processing the context-variant phenomena.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Combining Semantic Interpretation and Statistical Classification for Improved Explanation Processing in a Tutorial Dialogue System

We present an approach for combining symbolic interpretation and statistical classification in the natural language processing (NLP) component of a tutorial dialogue system. Symbolic NLP approaches support dynamic generation of context-adaptive natural language feedback, but lack robustness. In contrast, statistical classification approaches are robust to ill-formed input but provide less detai...

متن کامل

Towards Traceability Link Recovery for Self-Adaptive Systems

Self-adaptive systems (SAS) automatically mitigate environmental changes and unexpected system issues at run time by adapting towards optimal configurations that enable continual requirements satisfaction. The increasing proliferation of SASs presents engineering challenges that reflect issues experienced by non-adaptive systems, more specifically, ensuring that continuing assurance for softwar...

متن کامل

Annotating the Semantic Consistency of Speech Recognition Hypotheses

Recent work on natural language processing systems is aimed at more conversational, context-adaptive systems in multiple domains. An important requirement for such a system is the automatic detection of the domain and a domain consistency check of the given speech recognition hypotheses. We report a pilot study addressing these tasks, the underlying data collection and investigate the feasibili...

متن کامل

Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques

We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation techniques are used to produce natural sounding feedback adapted to student performance and the dialogue history, and context is used to interpret tentative answers phrased as questions.

متن کامل

Gap Analysis of Natural Language Processing Systems with respect to Linguistic Modality

Modality is one of the important components of grammar in linguistics. It lets speaker to express attitude towards, or give assessment or potentiality of state of affairs. It implies different senses and thus has different perceptions as per the context. This paper presents an account showing the gap in the functionality of the current state of art Natural Language Processing (NLP) systems. The...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002