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Computation and Language papers — page 5

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Variation and Synthetic Speech
We describe the approach to linguistic variation taken by the Motorola speech synthesizer. A pan-dialectal pronunciation dictionary is described, which serves as the training data for a neural…
Corey Miller, Orhan Karaali, Noel MasseyNov 17, 1997
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Probabilistic Parsing Using Left Corner Language Models
We introduce a novel parser based on a probabilistic version of a left-corner parser. The left-corner strategy is attractive because rule probabilities can be conditioned on both top-down goals and…
Christopher D. Manning, Bob CarpenterNov 17, 1997
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Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least context-free complexity, for applications such as speech processing in which speed is…
Edmund Grimley-EvansNov 11, 1997
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Probabilistic Constraint Logic Programming
This paper addresses two central problems for probabilistic processing models: parameter estimation from incomplete data and efficient retrieval of most probable analyses. These questions have been…
Stefan RiezlerNov 11, 1997
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Probabilistic Event Categorization
This paper describes the automation of a new text categorization task. The categories assigned in this task are more syntactically, semantically, and contextually complex than those typically…
Janyce Wiebe, Rebecca Bruce, Lei DuanOct 31, 1997
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A Corpus-Based Investigation of Definite Description Use
We present the results of a study of definite descriptions use in written texts aimed at assessing the feasibility of annotating corpora with information about definite description interpretation. We…
Massimo Poesio, Renata VieiraOct 24, 1997
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Learning Features that Predict Cue Usage
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanations. Previous…
Barbara Di Eugenio, Johanna D. Moore, Massimo PaolucciOct 22, 1997
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Attaching Multiple Prepositional Phrases: Generalized Backed-off Estimation
There has recently been considerable interest in the use of lexically-based statistical techniques to resolve prepositional phrase attachments. To our knowledge, however, these investigations have…
Paola Merlo, Matthew Crocker, Cathy BerthouzozOct 16, 1997
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Parsing syllables: modeling OT computationally
In this paper, I propose to implement syllabification in OT as a parser. I propose several innovations that result in a finite and small candidate set. The candidate set problem is handled with…
Michael HammondOct 14, 1997
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Disambiguating with Controlled Disjunctions
In this paper, we propose a disambiguating technique called controlled disjunctions. This extension of the so-called named disjunctions relies on the relations existing between feature values…
Philippe BlacheOct 14, 1997
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Tagging French Without Lexical Probabilities -- Combining Linguistic Knowledge And Statistical Learning
This paper explores morpho-syntactic ambiguities for French to develop a strategy for part-of-speech disambiguation that a) reflects the complexity of French as an inflected language, b) optimizes…
Evelyne Tzoukermann, Dragomir R. Radev, William A. GaleOct 10, 1997
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Use of Weighted Finite State Transducers in Part of Speech Tagging
This paper addresses issues in part of speech disambiguation using finite-state transducers and presents two main contributions to the field. One of them is the use of finite-state machines for part…
Evelyne Tzoukermann, Dragomir R. RadevOct 10, 1997
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Segmentation of Expository Texts by Hierarchical Agglomerative Clustering
We propose a method for segmentation of expository texts based on hierarchical agglomerative clustering. The method uses paragraphs as the basic segments for identifying hierarchical discourse…
Yaakov YaariSep 26, 1997
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Amalia -- A Unified Platform for Parsing and Generation
Contemporary linguistic theories (in particular, HPSG) are declarative in nature: they specify constraints on permissible structures, not how such structures are to be computed. Grammars designed…
Shuly Wintner, Evgeniy Gabrilovich, Nissim FrancezSep 24, 1997
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An Abstract Machine for Unification Grammars
This work describes the design and implementation of an abstract machine, Amalia, for the linguistic formalism ALE, which is based on typed feature structures. This formalism is one of the most…
Shuly WintnerSep 23, 1997
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Using Single Layer Networks for Discrete, Sequential Data: An Example from Natural Language Processing
A natural language parser which has been successfully implemented is described. This is a hybrid system, in which neural networks operate within a rule based framework. It can be accessed via telnet…
Caroline Lyon, Ray FrankSep 23, 1997
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Off-line Parsability and the Well-foundedness of Subsumption
Typed feature structures are used extensively for the specification of linguistic information in many formalisms. The subsumption relation orders TFSs by their information content. We prove that…
Shuly Wintner, Nissim FrancezSep 23, 1997
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Message-Passing Protocols for Real-World Parsing -- An Object-Oriented Model and its Preliminary Evaluation
We argue for a performance-based design of natural language grammars and their associated parsers in order to meet the constraints imposed by real-world NLP. Our approach incorporates declarative and…
Udo Hahn, Peter Neuhaus, Norbert BroekerSep 23, 1997
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Evaluating Parsing Schemes with Entropy Indicators
This paper introduces an objective metric for evaluating a parsing scheme. It is based on Shannon's original work with letter sequences, which can be extended to part-of-speech tag sequences. It…
Caroline Lyon, Stephen BrownSep 22, 1997
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Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the…
Jay J. Jiang, David W. ConrathSep 20, 1997
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Using WordNet to Complement Training Information in Text Categorization
Automatic Text Categorization (TC) is a complex and useful task for many natural language applications, and is usually performed through the use of a set of manually classified documents, a training…
Manuel de Buenaga Rodriguez, Jose Maria Gomez Hidalgo, Belen Diaz AgudoSep 17, 1997
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Semantic Processing of Out-Of-Vocabulary Words in a Spoken Dialogue System
One of the most important causes of failure in spoken dialogue systems is usually neglected: the problem of words that are not covered by the system's vocabulary (out-of-vocabulary or OOV words).…
Manuela Boros, Maria Aretoulaki, Florian Gallwitz et al.Sep 17, 1997
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A generation algorithm for f-structure representations
This paper shows that previously reported generation algorithms run into problems when dealing with f-structure representations. A generation algorithm that is suitable for this type of…
Toni TuellsSep 17, 1997
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Combining Multiple Methods for the Automatic Construction of Multilingual WordNets
This paper explores the automatic construction of a multilingual Lexical Knowledge Base from preexisting lexical resources. First, a set of automatic and complementary techniques for linking Spanish…
Jordi Atserias, Salvador Climent, Xavier Farreres et al.Sep 15, 1997
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Integrating a Lexical Database and a Training Collection for Text Categorization
Automatic text categorization is a complex and useful task for many natural language processing applications. Recent approaches to text categorization focus more on algorithms than on resources…
Jose Maria Gomez Hidalgo, Manuel de Buenaga RodriguezSep 15, 1997
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