The Italian lexical sample task at Senseval-3
نویسندگان
چکیده
The Italian lexical sample task at SENSEVAL-3 provided a framework to evaluate supervised and semi-supervised WSD systems. This paper reports on the task preparation – which offered the opportunity to review and refine the Italian MultiWordNet – and on the results of the six participants, focussing on both the manual and automatic tagging procedures.
منابع مشابه
Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3
This paper summarizes IRST’s participation in Senseval-3. We participated both in the English allwords task and in some lexical sample tasks (English, Basque, Catalan, Italian, Spanish). We followed two perspectives. On one hand, for the allwords task, we tried to refine the Domain Driven Disambiguation that we presented at Senseval-2. The refinements consist of both exploiting a new technique ...
متن کاملSenseval-3: The Catalan lexical sample task
In this paper we describe the Catalan Lexical Sample task. This task was initially devised for evaluating the role of unlabeled examples in supervised and semi-supervised learning systems for WSD and it is the counterpart of the Spanish Lexical Sample task. It was coordinated also with other lexical sample tasks (Basque, English, Italian, Rumanian, and Spanish) in order to share part of the tar...
متن کاملThe Italian Lexical Sample Task
In this paper we give an overall description of the Italian lexical sample task for SENSEV AL-2, together with some general reflections about on the one hand the overall task of lexical-semantic annotation and on the other about the adequacy of existing lexical-semantic reference resources.
متن کاملSenseval-3: The Spanish lexical sample task
In this paper we describe the Spanish Lexical Sample task. This task was initially devised for evaluating the role of unlabeled examples in supervised and semi-supervised learning systems for WSD and it was coordinated with five other lexical sample tasks (Basque, Catalan, English, Italian, and Rumanian) in order to share part of the target words. Firstly, we describe the methodology followed t...
متن کاملThe Swarthmore College Senseval-3 system
This paper presents the Swarthmore College wordsense disambiguation system which was designed for the 2004 SENSEVAL3 competition. Our system participated in five tasks: the lexical sample tasks in Basque, Catalan, Italian, Romanian, and Spanish. For each task, a suite of supervised algorithms were combined using voting to form the final system.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004