Contextual Bootstrapping for Grammar Learning

نویسندگان

  • Eva H. Mok
  • Jerome A. Feldman
چکیده

construction VERB meaning: PROCESS construction GEI3 subcase of VERB form self.f.orth <-“gei3” meaning : GIVE schema TRANSFER subcase of ACTION roles giver : @Entity recipient : @Entity theme : @Entity constraints giver <--> protagonist schema GIVE subcase of TRANSFER roles giver : @Animate recipient : @Animate theme : @Manipulable_Inanimate_Object Figure 2.4 Processes, like other schemas, are described in a schema hierarchy and have core semantic roles (not explicitly marked in ECG). Shown here is the verb gei3 (give), which has a meaning of GIVE. 14 FrameNet (Baker et al., 1998) makes a further distinction between the unexpressed or Null Instantiated arguments: in the case of I bought a car for $1500, there is a definite, specific seller even if it is unnamed, whereas in Have you eaten?, a generic instance of meal is pictured. These two cases are referred to as Definite Null Instantiation (DNI) and Indefinite Null Instantiation (INI) respectively.

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

On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning

The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The proposed approach is a bootstrapping process that combines ontology and grammar learning, in order to semi-automate the knowledge acquisition process. After providing a survey of the most relevant work towards this goa...

متن کامل

Grammar-based context-specific statistical language modelling

This paper shows how we can combine the art of grammar writing with the power of statistics by bootstrapping statistical language models (SLMs) for Dialogue Systems from grammars written using the Grammatical Framework (GF) (Ranta, 2004). Furthermore, to take into account that the probability of a user’s dialogue moves is not static during a dialogue we show how the same methodology can be used...

متن کامل

On Bootstrapping of Linguistic Features for Bootstrapping Grammars

We discuss a cue-based grammar induction approach based on a parallel theory of grammar. Our model is based on the hypotheses of interdependency between linguistic levels (of representation) and inductability of specific structural properties at a particular level, with consequences for the induction of structural properties at other linguistic levels. We present the results of three different ...

متن کامل

Gigamachine: incremental machine learning on desktop computers

We present a concrete design for Solomonoff’s incremental machine learning system suitable for desktop computers. We use R5RS Scheme and its standard library with a few omissions as the reference machine. We introduce a Levin Search variant based on a stochastic Context Free Grammar together with new update algorithms that use the same grammar as a guiding probability distribution for increment...

متن کامل

Corpus-based Learning in Stochastic OT-LFG – Experiments with a Bidirectional Bootstrapping Approach

This paper reports on experiments exploring the application of a Stochastic Optimality-Theoretic approach in the corpus-based learning of some aspects of syntax. Using the Gradual Learning Algorithm, the clausal syntax of German has to be learned from learning instances of clauses extracted from a corpus. The particular focus in the experiments was placed on the usability of a bidirectional app...

متن کامل

A Bootstrapping Model of Frequency and Context Effects in Word Learning

Prior research has shown that people can learn many nouns (i.e., word-object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing some word-referent pairs to appear more frequently t...

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 2006