Word Importance Discrimination Using Context Information

نویسندگان

  • Danil Nemirovsky
  • Vladimir Dobrynin
چکیده

Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of words which carry any (additional) information about user information needs. In our experiments we estimated word importance using context information of a word.

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

سایکوآکوستیک و درک گفتار در افراد مبتلا به نوروپاتی شنوایی و افراد طبیعی

Background: The main result of hearing impairment is reduction of speech perception. Patient with auditory neuropathy can hear but they can not understand. Their difficulties have been traced to timing related deficits, revealing the importance of the neural encoding of timing cues for understanding speech. Objective: In the present study psychoacoustic perception (minimal noticeable differen...

متن کامل

Word concreteness and encoding effects on context-dependent discrimination.

In three experiments, we investigated the effects of word concreteness and encoding instructions on context-dependent discrimination in verbal contexts, using Murnane, Phelps, and Malmberg's (1999) ICE (item, context, ensemble) theory as the framework Word concreteness was manipulated within participants, and encoding was manipulated between participants. It was hypothesized that the magnitude ...

متن کامل

KUNLP system using Classification Information Model

The classification information model or CIM classifies instances by considering the discrimination ability of their features, which was proven to be useful for word sense disambiguation at SENSEVAL-1. But the CIM has a problem of information loss. KUNLP system at SENSEVAL-2 uses a modified version of the CIM for word sense disambiguation. We used three types of features for word sense disambigu...

متن کامل

Word Sense Discrimination Using Context Vector Similarity

This paper presents the application of context vector similarity for the purpose of word sense discrimination during query translation. The random indexing vector space method is used to accumulate the context vectors. Pair wise similarity of the context vectors of ambiguous terms with that of anchor terms indicated the possible correct translation of a query term. Two retrieval experiments wer...

متن کامل

Improving Word Sense Discrimination with Gloss Augmented Feature Vectors

This paper presents a method of unsupervised word sense discrimination that augments co–occurrence feature vectors derived from raw untagged corpora with information from the glosses found in a machine readable dictionary. Each content word that occurs in the context of a target word to be discriminated is represented by a co-occurrence feature vector. Each of these vectors is augmented with th...

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 2008