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    NAACL
    2003
    105views Computational Linguistics» more  NAACL 2003»
    Inferring Temporal Ordering of Events in News
    14 years 6 days ago
    Inferring Temporal Ordering of Events in News
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    This paper describes a domain-independent, machine-learning based approach to temporally anchoring and ordering events in news. The approach achieves 84.6% accuracy in temporally ...
    Inderjeet Mani, Barry Schiffman, Jianping Zhang
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    NAACL
    2003
    87views Computational Linguistics» more  NAACL 2003»
    DOGHED: A Template-Based Generator for Multimodal Dialog Systems Targeting Heterogeneous Devices
    14 years 6 days ago
    DOGHED: A Template-Based Generator for Multimodal Dialog Systems Targeting Heterogeneous Devices
    Download  acl.ldc.upenn.edu
    Songsak Channarukul, Susan Weber McRoy, Syed S. Al...
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    NAACL
    2003
    124views Computational Linguistics» more  NAACL 2003»
    Exploiting Diversity for Answering Questions
    14 years 6 days ago
    Exploiting Diversity for Answering Questions
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    We describe initial experiments in combining the output of question answering systems using data from the 2002 TREC Question Answering task. We explore several distance-based comb...
    John D. Burger, John C. Henderson
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    NAACL
    2003
    131views Computational Linguistics» more  NAACL 2003»
    Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures
    14 years 6 days ago
    Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures
    Download  crow.ee.washington.edu
    Sources of training data suitable for language modeling of conversational speech are limited. In this paper, we show how training data can be supplemented with text from the web ...
    Ivan Bulyko, Mari Ostendorf, Andreas Stolcke
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    NAACL
    2003
    124views Computational Linguistics» more  NAACL 2003»
    Towards Emotion Prediction in Spoken Tutoring Dialogues
    14 years 6 days ago
    Towards Emotion Prediction in Spoken Tutoring Dialogues
    Download  acl.ldc.upenn.edu
    Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
    Diane J. Litman, Katherine Forbes, Scott Silliman
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    NAACL
    2003
    153views Computational Linguistics» more  NAACL 2003»
    Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
    14 years 6 days ago
    Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
    Download  acl.ldc.upenn.edu
    Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for ...
    Chin-Yew Lin, Eduard H. Hovy
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    NAACL
    2003
    196views Computational Linguistics» more  NAACL 2003»
    An Analysis of Clarification Dialogue for Question Answering
    14 years 6 days ago
    An Analysis of Clarification Dialogue for Question Answering
    Download  acl.ldc.upenn.edu
    We examine clarification dialogue, a mechanism for refining user questions with follow-up questions, in the context of open domain Question Answering systems. We develop an algori...
    Marco De Boni, Suresh Manandhar
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    NAACL
    2003
    95views Computational Linguistics» more  NAACL 2003»
    Word Alignment with Cohesion Constraint
    14 years 6 days ago
    Word Alignment with Cohesion Constraint
    Download  acl.ldc.upenn.edu
    We present a syntax-based constraint for word alignment, known as the cohesion constraint. It requires disjoint English phrases to be mapped to non-overlapping intervals in the Fr...
    Dekang Lin, Colin Cherry
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    NAACL
    2003
    119views Computational Linguistics» more  NAACL 2003»
    Factored Language Models and Generalized Parallel Backoff
    14 years 6 days ago
    Factored Language Models and Generalized Parallel Backoff
    Download  ssli.ee.washington.edu
    We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
    Jeff Bilmes, Katrin Kirchhoff
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    NAACL
    2003
    152views Computational Linguistics» more  NAACL 2003»
    Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
    14 years 6 days ago
    Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
    Download  www.cs.cornell.edu
    We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our appro...
    Regina Barzilay, Lillian Lee
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