Q&A: Chemical connector

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Qa@l2f@qa@clef

This paper introduces L2F’s (INESC-ID) question/answering system and presents its results in the QA@CLEF07 evaluation task. QA@LF bases its performance on a high-quality deep linguistic analysis of the question, which is strongly based on named entity recognition. However, if a precise analysis is not possible or if no answer is found in previous processed data, the system is also capable of re...

متن کامل

Understanding Software Connector Compatibilities Using a Connector Taxonomy

Software systems of today are frequently composed from prefabricated, heterogeneous components that provide complex functionality and engage in complex interactions. Software architecture research has revealed the importance of component interactions on our ability to perform software composition. Various development organizations have found interaction mismatches to be both difficult and a cor...

متن کامل

QA@L2F, Second Steps at QA@CLEF

This paper describes the participation of QA@LF, the question-answering system from LF/INESC-ID, at the QA track of CLEF in 2008. Making intensive use of a Natural Language Processing chain (which includes, among others, a morphological analyzer, a disambiguation module, a multi-word recognizer, a chunker and a named entities recognizer), QA@LF is based on a three module approach to answer ques...

متن کامل

UAIC Romanian QA System for QA@CLEF

This paper briefly describes UAIC’s participation in this year's CLEF question answering competition, focusing on the main challenges and changes compared to our last year participation. An analysis of the errors introduced by each module is also discussed.

متن کامل

QA@L2F, First Steps at QA@CLEF

This paper presents QA@LF, the question-answering system developed at LF, INESC-ID. QA@LF follows different strategies according with the question type, and relies strongly on named entity recognition and on the pre-detection of linguistic patterns. Each question type is mapped into a single strategy; however, if no answer is found, the system proceeds and tries to find an answer using one of 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

ژورنال

عنوان ژورنال: Nature

سال: 2011

ISSN: 0028-0836,1476-4687

DOI: 10.1038/480179a