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Megumi Kameyama

dblp:16/3303 · DBLP profile ↗
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7ranked-venue papers
6as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 6 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Information extraction and text analysis · 37% Knowledge representation and reasoning · 26% Learning theory · 19%
Theoretical computer science
2 papers
Automata and formal languages · 82% Logic in computer science · 18%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
temporal reasoning
0.011993
Temporal Centering · ACL 1993
Machine learning › Learning theory › neural network theory
information flow
0.011991
Resolving Translation Mismatches with Information Flow · ACL 1991
Automata and formal languages
grammar formalisms
0.011988
Atomization in Grammar Sharing · ACL 1988
Natural language and speech › Information extraction and text analysis › discourse analysis › discourse processing
centering theory
0.011986
A Property-Sharing Constraint in Centering · ACL 1986
Natural language and speech › Information extraction and text analysis
discourse analysis
0.011986
A Property-Sharing Constraint in Centering · ACL 1986
Natural language and speech › Information extraction and text analysis › coreference resolution
pronoun resolution
0.011986
A Property-Sharing Constraint in Centering · ACL 1986
Natural language and speech › Information extraction and text analysis › discourse analysis
discourse structure
0.011993
Temporal Centering · ACL 1993
Programming languages and type systems
inheritance
0.011988
Atomization in Grammar Sharing · ACL 1988
Logic in computer science
semantics
0.011986
A Property-Sharing Constraint in Centering · ACL 1986

Methods — techniques the papers use, named apart from their topics

grammatical atomization · 0.0defeasible inference · 0.0commonsense reasoning · 0.0situation theory · 0.0information lattice · 0.0
YearPublicationVenuePosition
1996 A real-time system for summarizing human-human spontaneous spoken dialogues
Megumi Kameyama, Goh Kawai, Isao Arima
ICSLP1
1994 Coping with aboutness complexity in information extraction from spoken dialogues
abstract
We report on the strategies in automatic summarization of spontaneous spoken dialogues. Our dialogue summarization system, MIMI, recognizes key linguisitc patterns and merges information to construct a summary of conference room scheduling dialogues. Dialogues about single reservations can be accurately summarized with a simple merging scheme, but we need several extensions and changes to cope with the aboutness complexity in unrestricted dialogues --- knowing exactly how many reservations are being discussed and which reservation values must be updated by subsequent utterances. A side effect of these extensions is a new problem of overrecognition caused by spoken language disfluencies. Keywords: Spontaneous Dialogues, Summarization, Information Extraction 1. INTRODUCTION A full understanding of spoken dialogues would need a full discourse understanding plus robustness with disfluencies. Such a system would require a lot of linguistic and world knowledge, and, if at all possible, wou...
Megumi Kameyama, Isao Arima
ICSLP1
1993 Temporal Centering
abstract
We present a semantic and pragmatic account of the anaphoric properties of past and perfect that improves on previous work by integrating discourse structure, aspectual type, surface structure and commonsense knowledge. A novel aspect of our account is that we distinguish between two kinds of temporal intervals in the interpretation of temporal operators --- discourse reference intervals and event intervals. This distinction makes it possible to develop an analogy between centering and temporal centering, which operates on discourse reference intervals. Our temporal property-sharing principle is a defeasible inference rule on the logical form. Along with lexical and causal reasoning, it plays a role in incrementally resolving underspecified aspects of the event structure representation of an utterance against the current context.
Megumi Kameyama, Rebecca J. Passonneau, Massimo Poesio
ACL1
1991 Resolving Translation Mismatches with Information Flow
abstract
Languages differ in the concepts and real-world entities for which they have words and grammatical constructs. Therefore translation must sometimes be a matter of approximating the meaning of a source language text rather than finding an exact counterpart in the target language. We propose a translation framework based on Situation Theory. The basic ingredients are an information lattice, a representation scheme for utterances embedded in contexts, and a mismatch resolution scheme defined in terms of information flow. We motivate our approach with examples of translation between English and Japanese.
Megumi Kameyama, Ryo Ochitani, Stanley Peters
ACL1
1990 Translation by Abduction
Jerry R. Hobbs, Megumi Kameyama
COLING2
1988 Atomization in Grammar Sharing
abstract
We describe a prototype SHARED GRAMMAR for the syntax of simple nominal expressions in Arabic, English, French, German, and Japanese implemented at MCC. In this grammar, a complex inheritance lattice of shared grammatical templates provides parts that each language can put together to form language-specific grammatical templates. We conclude that grammar sharing is not only possible but also desirable. It forces us to reveal crosslinguistically invariant grammatical primitives that may otherwise remain conflated with other primitives if we deal only with a single language or language type. We call this the process of GRAMMATICAL ATOMIZATION. The specific implementation reported here uses categorial unification grammar. The topics include the mono-level nominal category N, the functional distinction between ARGUMENT and NON-ARGUMENT of nominals, grammatical agreement, and word order types.
Megumi Kameyama
ACL1
1986 A Property-Sharing Constraint in Centering
abstract
A constraint is proposed in the Centering approach to pronoun resolution in discourse. This "property-sharing" constraint requires that two pronominal expressions that retain the same Cb across adjacent utterances share a certain common grammatical property. This property is expressed along the dimension of the grammatical function SUBJECT for both Japanese and English discourses, where different pronominal forms are primarily used to realize the Cb. It is the zero pronominal in Japanese, and the (unstressed) overt pronoun in English. The resulting constraint complements the original Centering, accounting for its apparent violations and providing a solution to the interpretation of multi-pronominal utterances. It also provides an alternative account of anaphora interpretation that appears to be due to structural parallelism. This reconciliation of centering/focusing and parallelism is a major advantage. I will then add another dimension called the "speaker identification" to the constraint to handle a group of special cases in Japanese discourse. It indicates a close association between centering and th speaker's viewpoint, and sheds light on what underlies the effect of perception reports on pronoun resolution in general. These results, by drawing on facts in two very different languages, demonstrate the cross-linguistic applicability of the centering framework.
Megumi Kameyama
ACL1