MRD-based Word Sense Disambiguation: Further#2 Extending#1 Lesk

نویسندگان

  • Timothy Baldwin
  • Su Nam Kim
  • Francis Bond
  • Sanae Fujita
  • David Martinez
  • Takaaki Tanaka
چکیده

This paper reconsiders the task of MRDbased word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact onWSD performance of different tokenisation schemes, scoring mechanisms, methods of gloss extension and filtering methods. In experimentation over the Lexeed Sensebank and the Japanese Senseval2 dictionary task, we demonstrate that character bigrams with sense-sensitive gloss extension over hyponyms and hypernyms enhances WSD performance.

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

MRD-based Word Sense Disambiguation: Further Extending Lesk

This paper reconsiders the task of MRDbased word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact onWSD performance of different tokenisation schemes, scoring mechanisms, methods of gloss extension and filtering methods. In experimentation over the Lexeed Sensebank and the Japanese Senseval2 dictionary task, we demonstrate that character bigrams with sense-s...

متن کامل

Baldwin, Timothy, Su Nam Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2008) MRD-based Word Sense Disambiguation: Further Extending Lesk, In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP 2008), Hyderabad, India

This paper reconsiders the task of MRDbased word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact onWSD performance of different tokenisation schemes, scoring mechanisms, methods of gloss extension and filtering methods. In experimentation over the Lexeed Sensebank and the Japanese Senseval2 dictionary task, we demonstrate that character bigrams with sense-s...

متن کامل

Applying a Naive Bayes Similarity Measure to Word Sense Disambiguation

We replace the overlap mechanism of the Lesk algorithm with a simple, generalpurpose Naive Bayes model that measures many-to-many association between two sets of random variables. Even with simple probability estimates such as maximum likelihood, the model gains significant improvement over the Lesk algorithm on word sense disambiguation tasks. With additional lexical knowledge from WordNet, pe...

متن کامل

EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique

We present a hybrid knowledge-based approach to multilingual word sense disambiguation using BabelNet. Our approach is based on a hybrid technique derived from the modified version of the Lesk algorithm and the Jiang & Conrath similarity measure. We present our system's runs for the word sense disambiguation subtask of the Multilingual Word Sense Disambiguation and Entity Linking task of SemEva...

متن کامل

Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation

We propose a simple, yet effective, Word Sense Disambiguation method that uses a combination of a lexical knowledge-base and embeddings. Similar to the classic Lesk algorithm, it exploits the idea that overlap between the context of a word and the definition of its senses provides information on its meaning. Instead of counting the number of words that overlap, we use embeddings to compute 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 2007