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ACL
2001
14 years 27 days ago
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering
This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statist...
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca,...
ACL
2003
14 years 27 days ago
Flexible Guidance Generation Using User Model in Spoken Dialogue Systems
We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on user’s knowledge o...
Kazunori Komatani, Shinichi Ueno, Tatsuya Kawahara...
ACL
2001
14 years 27 days ago
Topic-focus and Salience
Eva Hajicová, Petr Sgall
ACL
2001
14 years 27 days ago
Serial Combination of Rules and Statistics: A Case Study in Czech Tagging
A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The comb...
Jan Hajic, Pavel Krbec, Pavel Kveton, Karel Oliva,...
ACL
2003
14 years 27 days ago
Feature-Rich Statistical Translation of Noun Phrases
We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently bes...
Philipp Koehn, Kevin Knight
ACL
2001
14 years 27 days ago
Resolving Ellipsis in Clarification
We offer a computational analysis of the resolution of ellipsis in certain cases of dialogue clarification. We show that this goes beyond standard techniques used in anaphora and ...
Jonathan Ginzburg, Robin Cooper
ACL
2003
14 years 27 days ago
An Expert Lexicon Approach to Identifying English Phrasal Verbs
Phrasal Verbs are an important feature of the English language. Properly identifying them provides the basis for an English parser to decode the related structures. Phrasal verbs ...
Wei Li 0003, Xiuhong Zhang, Cheng Niu, Yuankai Jia...
ACL
2001
14 years 27 days ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
ACL
2003
14 years 27 days ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim