B. Boguraev

Publications
Influence

Anaphora for Everyone: Pronominal Anaphora Resolution without a Parser

Christopher Kennedy, B. Boguraev
Computer Science
COLING
5 August 1996

We present an algorithm for anaphora resolution which is a modified and extended version of that developed by (Lappin and Leass, 1994). Expand

TimeML-Compliant Text Analysis for Temporal Reasoning

B. Boguraev, R. Ando
Computer Science
IJCAI
30 July 2005

We address this problem with a hybrid TimeML annotator, which uses cascaded finite-state grammars (for temporal expression analysis, shallow syntactic parsing, and feature generation) together with a machine learning component capable of effectively using large amounts of unannotated data. Expand

Automatic Glossary Extraction: Beyond Terminology Identification

Youngja Park, R. Byrd, B. Boguraev
Computer Science
COLING
24 August 2002

This paper describes a method for automatically extracting domain-specific glossaries from large document collections, and presents an informal evaluation of its performance. Expand

Question analysis: How Watson reads a clue

Adam Lally, J. Prager, +5 authors Jennifer Chu-Carroll
Computer Science
IBM J. Res. Dev.
1 May 2012

The first stage of processing in the IBM Watson™ system is to perform a detailed analysis of the question in order to determine what it is asking for and how best to approach answering it. Expand

Enjoy the paper: lexical semantics via lexicology

Ted Briscoe, Ann A. Copestake, B. Boguraev
Computer Science
COLING
20 August 1990

In this paper, we motivate a particular approach to lexical semantics, briefly demonstrate its computational tractability, and explore the possibility of extracting the lexical information this approach requires from MRDs. Expand

Finding needles in the haystack: Search and candidate generation

Jennifer Chu-Carroll, J. Fan, B. Boguraev, David Carmel, D. Sheinwald, Chris Welty
Computer Science
IBM J. Res. Dev.
1 May 2012

A key phase in the DeepQA architecture is Hypothesis Generation, in which candidate system responses are generated for downstream scoring and ranking. Expand

The Derivation of a Grammatically Indexed Lexicon from the Longman Dictionary of Contemporary English

B. Boguraev, Ted Briscoe, J. Carroll, D. Carter, Claire Grover
Computer Science
ACL
6 July 1987

We describe a methodology and associated software system for the construction of a large lexicon from an existing machine-readable (published) dictionary which contains partial (and occasionally in-accurate) information. Expand

Natural Language Engineering

B. Boguraev, R. Garigliano, J. Tait
Engineering
1995

This paper describes an environment for the generation of non-deterministic taggers, currently used for the development of a Spanish lexicon. In relation to previous approaches, our system includes… Expand

TimeBank-Driven TimeML Analysis

B. Boguraev, R. Ando
Computer Science
Annotating, Extracting and Reasoning about Time…
2005

The design of TimeML as an expressive language for temporal information brings promises, and challenges; in particular, its representa- tional properties raise the bar for traditional information extraction meth- ods applied to the task. Expand

Deep parsing in Watson

M. McCord, J. William Murdock, B. Boguraev
Computer Science
IBM J. Res. Dev.
1 May 2012

Two deep parsing components, an English Slot Grammar (ESG) parser and a predicate-argument structure (PAS) builder, provide core linguistic analyses of both the questions and the text content used by… Expand

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