Sasha Blair-goldensohn, David Evans, Vasileios Hatzivassiloglou, Kathleen Mckeown, Ani Nenkova, Rebecca Passonneau, ...
We describe our participation in tasks 2, 4 and 5 of the DUC 2004 evaluation. For each task, we present the system(s) used, focusing on novel and newly developed aspects. We also analyze the results...
Sasha Blair-goldensohn, David Evans, Vasileios Hatzivassiloglou, Kathleen Mckeown, Ani Nenkova, Rebecca Passonneau, ...
We describe our participation in tasks 2, 4 and 5 of the DUC 2004 evaluation. For each task, we present the system(s) used, focusing on novel and newly developed aspects. We also analyze the results...
Improving Multilingual Summarization: Using Redundancy in the Input to Correct MT errors (2008)
Advaith Siddharthan, Kathleen Mckeown
In this paper, we use the information redundancy in multilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries. We consider the case of...
ABSTRACT Do Summaries Help? A Task-Based Evaluation of Multi-Document Summarization (2008)
We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research. We evaluated the...
Improving Multilingual Summarization: Using Redundancy in the Input to Correct MT errors (2008)
Advaith Siddharthan, Kathleen Mckeown
In this paper, we use the information redundancy in multilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries. We consider the case of...
Abstract Generating Summaries of Multiple News Articles (2008)
Kathleen Mckeown, Dragomir R. Radev
We present a natural language system which summarizes a series of news articles on the same event. It uses sum-marization operators, identified through empirical analysis of a corpus of news...
i Abstract Finding Terminology Translations from (2008)
Non-parallel Corpora, Pascale Fung, Kathleen Mckeown
We present a statistical word feature, the Word Relation Matrix, which can be used to find translated pairs of words and terms from non-parallel corpora, across language groups. Online dictionary...
Michel Galley, Kathleen Mckeown, Julia Hirschberg Shriberg
We describe a statistical approach for modeling agreements and disagreements in conversational interaction. Our approach first identifies adjacency pairs using maximum entropy ranking based on a set...
Bibliography Published Papers by Dragomir R. Radev References (2008)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, James Allan, ...
retrieval and language modeling. SIGIR Forum, 37(1), March
Bibliography Published Papers by Dragomir R. Radev References (2008)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, James Allan, ...
retrieval and language modeling. SIGIR Forum, 37(1), March
SPOKEN LANGUAGE GENERATION IN A MULTIMEDIA (2007)
In this paper we address two important issues in generating spoken language within a multimedia system: the design of a speech generator to facilitate coordination between media, and extensions to...
In this paper, we report on an e#ort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generation package,...
~LEIS is a registered trademark of Bell Communica- (2007)
Kathleen Mckeown, Jacques Robin, Jong Lim, Karen Kukich, James Shaw, James Shaw
PLANDoc, a system under joint devel-opment by Columbia and Bellcore, docu-ments the activity of planning engineers as they study telephone routes. It takes as input a trace of the engineer's...
Textual Constraints, Rhetorical Relations and Communicative Intentions in PLANDoc Narratives (2007)
Kathleen Mckeown, Karen Kukich
While communicative intention certainly plays a role in language generation, we have fimnd that there is a need for textual and rhetorical relations as well in our document generation system,...
1 An Evaluation Road Map for Summarization Research (2007)
Breck Baldwin, Robert Donaway, Eduard Hovy, Inderjeet Mani, Daniel Marcu, Kathleen Mckeown, ...
Dragomir Radev, 10 Karen Sparck Jones, 11
Syntactic Simplification for Improving Content Selection in Multi-Document Summarization (2007)
Siddharthan, Advaith, Nenkova, Ani, McKeown, Kathleen
In this paper, we explore the use of automatic syntactic simplification for improving content selection in multi-document summarization. In particular, we show how simplifying parentheticals by...
Translating Collocations for Use in Bilingual Lexicons (2007)
Smadja, Frank, McKeown, Kathleen
Collocations are notoriously difficult for non-native speakers to translate, primarily because they are opaque and can not be translated on a word by word basis. We describe a program named...
Ani Nenkova, Rebecca Passonneau, Kathleen Mckeown
Human variation in content selection in summarization has given rise to some fundamental research questions: How can one incorporate the observed variation in suitable evaluation measures? How can...
Ani Nenkova, Rebecca Passonneau, Kathleen Mckeown
Human variation in content selection in summarization has given rise to some fundamental research questions: How can one incorporate the observed variation in suitable evaluation measures? How can...
Bibliography Published Papers by Dragomir R. Radev References (2007)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, Bruce Croft, ...
[5] Suresh Bhavnani, Karen Drabenstott, and Dragomir Radev. Towards a unified framework of IR tasks and strategies. In 2001 ASIST Annual
Automatic creation of domain templates (2006)
Elena Filatova, Vasileios Hatzivassiloglou, Kathleen Mckeown
Recently, many Natural Language Processing (NLP) applications have improved the quality of their output by using various machine learning techniques to mine Information Extraction (IE) patterns for...
Automatic creation of domain templates (2006)
Elena Filatova, Vasileios Hatzivassiloglou, Kathleen Mckeown
Recently, many Natural Language Processing (NLP) applications have improved the quality of their output by using various machine learning techniques to mine Information Extraction (IE) patterns for...
Do Summaries Help? A Task-Based Evaluation of Multi-Document Summarization (2005)
Kathleen Mckeown, Rebecca J. Passonneau, David K. Elson, Ani Nenkova, Julia Hirschberg
We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research. We evaluated the...
Improving Multilingual Summarization: Using Redundancy in the Input to Correct MT errors (2005)
Advaith Siddharthan, Kathleen Mckeown
In this paper, we use the information redundancy in multilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries.
Facilitating Physicians' Access to Information via Tailored Text (2005)
Summarization Noemie Elhadad, Noemie Elhadad, Kathleen Mckeown, David Kaufman, Ph. D, Ph. D, ...
this paper, we present a user study in which subjects carried out a task under three different conditions: using search results only, using a generic summary and search results, and using a...
Automatically Learning Cognitive Status for Multi-Document Summarization Of Newswire (2005)
Ani Nenkova, Advaith Siddharthan, Kathleen Mckeown
Machine summaries can be improved by using knowledge about the cognitive status of news article referents. In this paper, we present an approach to automatically acquiring distinctions in cognitive...
Similarity-based Multilingual Multi-Document Summarization (2005)
David Kirk Evans, Kathleen Mckeown, Judith L. Klavans
We present a new approach for summarizing clusters of documents on the same event, some of which are machine translations of foreign-language documents and some of which are English. Our approach to...
Automatically learning cognitive status for multi-document summarization of newswire (2005)
Ani Nenkova, Advaith Siddharthan, Kathleen Mckeown
Machine summaries can be improved by using knowledge about the cognitive status of news article referents. In this paper, we present an approach to automatically acquiring distinctions in cognitive...
Syntactic simplification for improving content selection in multi-document summarization (2004)
Advaith Siddharthan, Ani Nenkova, Kathleen Mckeown
In this paper, we explore the use of automatic syntactic simplification for improving content selection in multi-document summarization. In particular, we show how simplifying parentheticals by...
Detection of question-answer pairs in email conversations (2004)
Lokesh Shrestha, Kathleen Mckeown
While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication where utterances are made...
Identifying Agreement and Disagreement in Conversational Speech: (2004)
Use Of Bayesian, Michel Galley, Kathleen Mckeown, Julia Hirschberg, Elizabeth Shriberg
We describe a statistical approach for modeling agreements and disagreements in conversational interaction. Our approach first identifies adjacency pairs using maximum entropy ranking based on a set...
Columbia University at DUC 2004 (2004)
Sasha Blair-Goldensohn, David Evans, Vasileios Hatzivassiloglou, Kathleen Mckeown, Ani Nenkova, Rebecca Passonneau, ...
We describe our participation in tasks 2, 4 and 5 of the DUC 2004 evaluation. For each task, we present the system (s) used, focusing on novel and newly developed aspects. We also analyze the results...
Identifying Agreement and Disagreement in Conversational Speech: (2004)
Use Of Bayesian, Michel Galley, Kathleen Mckeown, Julia Hirschberg, Elizabeth Shribergý
We describe a statistical approach for modeling agreements and disagreements in conversational interaction. Our approach first identifies adjacency pairs using maximum entropy ranking based on a set...
Columbia at the document understanding conference 2003 (2003)
Ani Nenkova, Barry Schiffman, Andrew Schlaiker, Sasha Blair-goldensohn, Regina Barzilay, Sergey Sigelman, ...
based on the multi-document summarization system that we developed for DUC 2002 (McKeown et al., 2002). It uses different summarization strategies depending on the
Columbia’s newsblaster: New features and future directions (demo (2003)
Kathleen Mckeown, Regina Barzilay, John Chen, David Elson, David Evans, Judith Klavans, ...
Columbia’s Newsblaster tracking and summarization system is a robust system that clusters news into events, categorizes events into broad topics and summarizes multiple articles on each event. Here...
Discourse segmentation of multi-party conversation (2003)
Michel Galley, Kathleen Mckeown
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about...
Discourse segmentation of multi-party conversation (2003)
Michel Galley, Kathleen Mckeown
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about...
Columbia’s newsblaster: New features and future directions (demo (2003)
Kathleen Mckeown, Regina Barzilay, John Chen, David Elson, David Evans, Judith Klavans, ...
Columbia’s Newsblaster tracking and summarization system is a robust system that clusters news into events, categorizes events into broad topics and summarizes multiple articles on each event. Here...
Discourse segmentation of multi-party conversation (2003)
Michel Galley, Kathleen Mckeown
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about...
Improving Word Sense Disambiguation in Lexical Chaining (2003)
Michel Galley, Kathleen McKeown
Previous algorithms to compute lexical chains suffer either from a lack of accuracy in word sense disambiguation (WSD) or from computational inefficiency.
Discourse Segmentation of Multi-Party Conversation (2003)
Michel Galley Kathleen, Kathleen Mckeown
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about...
Improving the Coherence of Multi-document Summaries: a Corpus Study (2003)
For Modeling The, Ani Nenkova, Kathleen Mckeown
References included in multi-document summaries are often problematic. In this paper, we present a corpus study performed to derive statistical models for the syntactic realization of referential...
Columbia at the Document Understanding Conference 2003 (2003)
Ani Nenkova Barry, Barry Schiffman, Andrew Schlaiker, Sasha Blair-goldensohn, Regina Barzilay, Sergey Sigelman, ...
Introduction The Columbia Summarizer for DUC 2003, Task 2, is based on the multi-document summarization system that we developed for DUC 2002 (McKeown et al., 2002). It uses different summarization...
Discourse Segmentation of Multi-Party Conversation (2003)
Michel Galley, Kathleen Mckeown, Eric Fosler-lussier, Hongyan Jing
We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about...
NLP found helpful (at least for one text categorization task (2002)
Carl Sable, Kathleen Mckeown, Kenneth W. Church
Attempts to use natural language processing (NLP) for text categorization and information retrieval (IR) have had mixed results. Nevertheless, there is a strong intuition that NLP is important, at...
Introduction to the Special Issue on Summarization (2002)
Dragomir R. Radev, Eduard Hovy, Kathleen McKeown
As the amount of on-line information increases, systems that can automatically summarize one or more documents become increasingly desirable. Recent research has investigated types of summaries,...
The Columbia Multi-Document Summarizer for DUC 2002 (2002)
Kathleen Mckeown, David Evans, Ani Nenkova, Regina Barzilay, Vasileios Hatzivassiloglou, Barry Schiffman, ...
Ordering circumstantials for multi-document summarization (2001)
Michael Elhadad, Yael Netzer, Regina Barzilay, Kathleen Mckeown
We address the problem of ordering several circumstantials when generating or revising a clause. This problem occurs in the context of a multi-document summarization system that relies on language...
Generating Referring Quantified Expressions (2000)
In this paper, we describe how quantifiers can be generated in a text generation system. By taking advantage of discourse and ontological information, quantified expressions can replace entities in a...
Generating Referring Quantified Expressions (2000)
In this paper, we describe how quantifiers can be generated in a text generation system. By taking advantage of discourse and ontological information, quantified expressions can replace entities in a...
Kathleen Mckeown, Desmond Jordan, Steven Feiner, James Shaw, Elizabeth Cheny, Shabina Ahmad, ...
Generation of Intensive Care data) [1], an experimental system that we have been developing to produce briefings automatically of patient status after CABG (coronary artery bypass graft).
Kathleen Mckeown, Desmond Jordan, Steven Feiner, Ph. D, Ph. D, ...
We present a study of the information transferred among caregivers in the context of cardiac surgery and use the study to evaluate a system, MAGIC, that we are developing for automated generation of...
Kathleen Mckeown, Desmond Jordan, Steven Feiner, Ph. D, Ph. D
We present a study of the information transferred among caregivers in the context of cardiac surgery and use the study to evaluate a system, MAGIC, that we are developing for automated generation of...
Towards Multidocument Summarization by Reformulation: Progress and Prospects (1999)
Kathleen Mckeown, Judith L. Klavans, Vasileios Hatzivassiloglou, Regina Barzilay, Eleazar Eskin
By synthesizing information common to retrieved documents, multi-document summarization can help users of information retrieval systems to find relevant documents with a minimal amount of reading. We...
Learning intonation rules for concept to speech generation (1998)
In this paper, we report on an effort to pro-vide a general-purpose spoken language gener-ation tool for Concept-to-Speech (CTS) appli-cations by extending a widely used text gener-ation package,...
Summarization Evaluation Methods: Experiments and Analysis (1998)
Hongyan Jing Dept, Hongyan Jing, Regina Barzilay, Kathleen Mckeown, Michael Elhadad
Two methods are used for evaluation of summarization systems: an evaluation of generated summaries against an "ideal" summary and evaluation of how well summaries help a person perform in a...
Hongyan Jing, Kathleen Mckeown
A lexicon is an essential component in a generation system but few e#orts have been made to build a rich, large-scale lexicon and make it reusable for di#erent generation applications. In this paper,...
Summarization Evaluation Methods: Experiments and Analysis (1998)
Hongyan Jing, Regina Barzilay, Kathleen Mckeown, Michael Elhadad
Two methods are used for evaluation of summarization systems: an evaluation of generated summaries against an "ideal" summary and evaluation of how well summaries help a person perform in a...
Learning Intonation Rules for Concept to Speech Generation (1998)
Shimei Pan And, Shimei Pan, Kathleen Mckeown
In this paper, we report on an e#ort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generation package,...
Learning intonation rules for concept to speech generation (1998)
In this paper, we report on an effort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generation package,...
Investigating complementary methods for verb sense pruning (1997)
Hongyan Jing, Vasileios Hatzivassiloglou, Rebecca Passonneau, Kathleen Mckeown
We present an approach for tagging verb sense that combines a domain-independent method based on subcategorization and alternations with a domain-dependent method utilizing statistically extracted...
Investigating complementary methods for verb sense pruning (1997)
Hongyan Jing, Vasileios Hatzivassiloglou, Rebecca Passonneau, Kathleen Mckeown
We present an approach for tagging verb sense that combines a domain-independent method based on subcategorization and al-ternations with a domain-dependent meth-od utilizing statistically extracted...
Software Re-Use and Evolution in Text Generation Applications (1997)
Karen Kukich, Rebecca Passonneau, Kathleen Mckeown, Dragomir Radev, Vasileios Hatzivassiloglou, Hongyan Jing
A practical goal for natural language text generation research is to converge on a separation of functions into modules that can be independently re-used. This paper addresses issues related to...
Finding Terminology Translations From Non-Parallel Corpora (1997)
Pascale Fung, Kathleen Mckeown
this paper, we present an initial algorithm for translating technical terms using a pair of non-parallel corpora. Evalution results show translation precisions at around 30% when only the top...
Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, John Smith, Kazi Zaman
In this paper we describe an ongoing research project called the Columbia Digital News System. The goal of this project is to develop a suite of effective interoperable tools with which people can...
Mukesh Dalai, Steven Feiner, Kathleen Mckeown, Ph. D, Ph. D, Ph. D, ...
We describe MAGIC, an experimental system for generating multimedia briefings about the clinical status of post-bypass patients ' entering a cardiac ICU. MAGIC is a distributed system whose...
A Technical Word and Term Translation Aid using Noisy Parallel Corpora across Language Groups (1996)
Pascale Fung And, Pascale Fung, Kathleen Mckeown
. Technical term translation represents one of the most difficult tasks for human translators since (1) most translators are not familiar with term and domain specific terminology and (2) such terms...
Negotiation for Automated Generation of Temporal Multimedia Presentations (1996)
Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias Höllerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
A Technical Word and Term Translation Aid using Noisy Parallel Corpora across Language Groups (1996)
Pascale Fung, Kathleen Mckeown
. Technical term translation represents one of the most difficult tasks for human translators since (1) most translators are not familiar with term and domain specific terminology and (2) such terms...
Empirically Designing and Evaluating a New Revision-Based Model for Summary Generation (1996)
Jacques Robin, Kathleen Mckeown
this paper, we present a system for summarizing quantitative data in natural language, focusing on how we used a corpus of basketball game summaries, drawn from online news services, to empirically...
Negotiation for Automated Generation of Temporal (1996)
Multimedia Presentations Mukesh, Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
Negotiation for automated generation of temporal multimedia presentations (1996)
Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias Höllerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
Negotiation for automated generation of temporal multimedia presentations (1996)
Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias Höllerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
Negotiation for automated generation of temporal multimedia presentations (1996)
Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias Höllerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
Vasileios Hatzivassiloglou, Kathleen Mckeown
{vh, kathy}~cs, columbia, edu We present a corpus-based study of methods that have been proposed in the linguistics liter-ature for selecting the semantically unmarked term out of a pair of...
Generating Summaries of Multiple News Articles (1995)
Kathleen Mckeown, Dragomir R. Radev
So That Nobody Has To Go To School If They Don't Want To by Roger Sipher A decline in standardized test scores is but the most recent indicator that American education is in trouble. One reason...
Fung, Pascale, McKeown, Kathleen
We propose a new algorithm called DK-vec for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. DK-vec improves on previous alignment algorithms in that it...
Pascale Fung, Kathleen Mckeown
We propose a new algorithm, DK-vec, for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. The algorithm uses frequency, position and recency information as...
Pascale Fung, Kathleen Mckeown
We propose a new algorithm, DK-vec, for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. The algorithm uses frequency, position and recency information as...
Practical Issues in Automatic Documentation Generation (1994)
Kathleen Mckeown, Karen Kukich, James Shaw
PLANDoc, a system under joint development by Columbia and Bellcore, documents the activity of planning engineers as they study telephone routes. It takes as input a trace of the engineer 's...
Pascale Fung, Kathleen Mckeown
We propose a new algorithm, DK-vec, for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. The algorithm uses frequency, position and recency information as...
Practical issues in automatic documentation generation (1994)
Kathleen Mckeown, Karen Kukich, Karen Kukich, James Shaw
PLANDoc, a system under joint development by Columbia and Bellcore, documents the activity of planning engineers as they study telephone routes. It takes as input a trace of the engineer’s...
Tailoring Lexical Choice to the User's Vocabulary in Multimedia Explanation Generation (1993)
Kathleen Mckeown, Jacques Robin, Michael Tanenblatt
) (QUANTIFICATION ((DEFINITE YES))) (REF-MODE DESCRIPTION))))))))))) Figure 5: Logical Form for Original Sentence reference to an accompanying illustration that conveys the attributes since a picture...
Corpus Analysis for Revision-Based Generation of Complex Sentences (1993)
Jacques Robin, Kathleen Mckeown
The complex sentences of newswire reports contain floating content units that appear to be opportunistically placed where the form of the surrounding text allows. We present a corpus analysis that...
This paper is based on work being carried out jointly with Jacques Robin, in the case of STREAK, and Karen Kukich, James Shaw, Jacques Robin, and Jong Lim, in the case of PLANDoc. STREAK is being...
Augmenting Lexicons Automatically: Clustering Semantically Related Adjectives (1993)
Kathleen Mckeown Vasileios, Kathleen Mckeown, Vasileios Hatzivassiloglou
grouping adjectives according to their meaning based on a Our work focuses on identifying various types of lexical data in given text corpus, so that all adjectives placed in one group describe...
Augmenting Lexicons Automatically: Clustering Semantically Related Adjectives (1993)
Kathleen Mckeown, Vasileios Hatzivassiloglou
In this paper we describe a technique for automatically grouping adjectives according to their meaning based on a Our work focuses on identifying various types of lexical data in given text corpus,...
Speech recognition in parallel (1989)
Salvatore J. Stolfo, Zvi Galil, Kathleen Mckeown, Russell Mills
Concomitantly with recent advances in speech coding, recognition and production, parallel computer systems are now commonplace delivenng raw computing power measured in hundreds of MIPS and...
Facilitating Physicians’ Access to Information via Tailored Text Summarization
Elhadad, Noemie, McKeown, Kathleen, Kaufman, David, Jordan, Desmond
We have developed a summarization system, TAS (Technical Article Summarizer), which, when provided with a patient record and journal articles returned by a search, automatically generates a summary...
Kushniruk, Andre W., Kan, Min-Yem, McKeown, Kathleen, Klavans, Judith, Jordan, Desmond, LaFlamme, Mark, ...
This paper describes the comparative evaluation of an experimental automated text summarization system, Centrifuser and three conventional search engines - Google, Yahoo and About.com. Centrifuser...
Negotiation for Automated Generation of Temporal Multimedia Presentations
Mukesh Dalal Steven, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias H Ollerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...
Negotiation for Automated Generation of Temporal Multimedia Presentations
Mukesh Dalal, Steven Feiner, Kathleen Mckeown, Shimei Pan, Michelle Zhou, Tobias H Ollerer, ...
Creating high-quality multimedia presentations requires much skill, time, and effort. This is particularly true when temporal media, such as speech and animation, are involved. We describe the design...