Reading comprehension programs in a statistical-language-processing class

Authors:
Eugene Charniak;Yasemin Altun;Rodrigo de Salvo Braz;Benjamin Garrett;Margaret Kosmala;Tomer Moscovich;Lixin Pang;Changhee Pyo;Ye Sun;Wei Wy;Zhongfa Yang;Shawn Zeller;Lisa Zorn
Affiliations:
Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University;Brown University
Venue:
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
Year:
2000

Citing 3
Cited 17

A maximum-entropy-inspired parser

NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Finite-state phrase parsing by rule sequences

COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Deep Read: a reading comprehension system

ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics

Open-domain textual question answering techniques

Natural Language Engineering
Analyses for elucidating current question answering technology

Natural Language Engineering
Learning strategies for story comprehension: a reinforcement learning approach

ICML '05 Proceedings of the 22nd international conference on Machine learning
A machine learning approach to answering questions for reading comprehension tests

EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Looking under the hood: tools for diagnosing your question answering engine

ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Reading comprehension tests for computer-based understanding evaluation

Natural Language Engineering
The use of metadata, web-derived answer patterns and passage context to improve reading comprehension performance

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
IRQAS: information retrieval and question answering system based on a unified logical-linguistic model

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Broadened answer extraction of QA system capability using expanded notion of logical-linguistic approach

CIS'09 Proceedings of the international conference on Computational and information science 2009
A maximum entropy framework that integrates word dependencies and grammatical relations for reading comprehension

NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Learning strategies for open-domain natural language question answering

ACLstudent '05 Proceedings of the ACL Student Research Workshop
Improvement of document understanding ability through the notion of answer literal expansion in logical-linguistic approach

WSEAS Transactions on Information Science and Applications
Learning strategies for open-domain natural language question answering

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Mining the semantic information to facilitate reading comprehension

ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Using verb dependency matching in a reading comprehension system

AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Computational approaches to sentence completion

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Generating extractive summaries of scientific paradigms

Journal of Artificial Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present some new results for the reading comprehension task described in [3] that improve on the best published results - from 36% in [3] to 41% (the best of the systems described herein). We discuss a variety of techniques that tend to give small improvements, ranging from the fairly simple (give verbs more weight in answer selection) to the fairly complex (use specific techniques for answering specific kinds of questions).