Bonnie Webber
Biographic Data
| ID | 3487955 |
|---|---|
| NAME | Bonnie Webber |
| GIVEN NAMES | Bonnie |
| FAMILY NAME | Webber |
| SIGNATURE | WEBBER B |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0002-4284-8216 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 169 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 3 |
Kathy McKeown Interviews Bonnie Webber
Because the 2020 ACL Lifetime Achievement Award presentation could not be done in person, we replaced the usual LTA talk with an interview between Professor Kathy McKeown (Columbia University) and the recipient, Bonnie Webber. The following is an edited version of the interview, with added citations
Aravind K. Joshi
It might surprise some young researchers that the first recipient of the ACL LifeTime Achievement award,1 Aravind Joshi, was so often compared to “Yoda,” one of the oldest and most powerful of the Jedi Masters in the Star Wars universe. But Aravind was also one of the kindest, wisest, and most justly celebrated people that one was fortunate to know.When Aravind received the award in 2002, at the age of 73, he said that he hoped his lifetime wasn’…
Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manually annotated corpus of discourse relations to date. Its focus on discourse relations that are either lexically-grounded in explicit discourse connectives or associated with sentential adjacency has not only facilitated its use in language technology and psycholinguistics but also has spawned the annotation of comparable corpora in other languages a…
Coherence relations and referential expectations
Stable Classification of Text Genres
Every text has at least one topic and at least one genre. Evidence for a text's topic and genre comes, in part, from its lexical and syntactic features—features used in both Automatic Topic Classification and Automatic Genre Classification (AGC). Because an ideal AGC system should be stable in the face of changes in topic distribution, we assess five previously published AGC methods with respect to both performance on the same topic–genre distrib…
Breaking News
for a total of 640 papers. Similarly, by its subsequent
Anaphora and Discourse Structure
We argue in this article that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure instead work anaphorically to contribute relational meaning, with only indirect dependence on discourse structure. This allows a simpler discourse structure to provide scaffolding for compositional semantics and reveals multiple ways in which the relational meaning conveyed by …
Readings in natural language processing
Elements of Discourse Understanding
Many problems and some techniques of text analysis
Elements of Discourse Understanding
Anaphora and Discourse Structure
We argue in this article that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure instead work anaphorically to contribute relational meaning, with only indirect dependence on discourse structure. This allows a simpler discourse structure to provide scaffolding for compositional semantics and reveals multiple ways in which the relational meaning conveyed by …
Readings in natural language processing
Stable Classification of Text Genres
Every text has at least one topic and at least one genre. Evidence for a text's topic and genre comes, in part, from its lexical and syntactic features—features used in both Automatic Topic Classification and Automatic Genre Classification (AGC). Because an ideal AGC system should be stable in the face of changes in topic distribution, we assess five previously published AGC methods with respect to both performance on the same topic–genre distrib…
Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manually annotated corpus of discourse relations to date. Its focus on discourse relations that are either lexically-grounded in explicit discourse connectives or associated with sentential adjacency has not only facilitated its use in language technology and psycholinguistics but also has spawned the annotation of comparable corpora in other languages a…
Breaking News
for a total of 640 papers. Similarly, by its subsequent
Many problems and some techniques of text analysis
Elements of Discourse Understanding
Readings in natural language processing
Anaphora and Discourse Structure
We argue in this article that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure instead work anaphorically to contribute relational meaning, with only indirect dependence on discourse structure. This allows a simpler discourse structure to provide scaffolding for compositional semantics and reveals multiple ways in which the relational meaning conveyed by …
Breaking News
for a total of 640 papers. Similarly, by its subsequent
Stable Classification of Text Genres
Every text has at least one topic and at least one genre. Evidence for a text's topic and genre comes, in part, from its lexical and syntactic features—features used in both Automatic Topic Classification and Automatic Genre Classification (AGC). Because an ideal AGC system should be stable in the face of changes in topic distribution, we assess five previously published AGC methods with respect to both performance on the same topic–genre distrib…
Coherence relations and referential expectations
Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manually annotated corpus of discourse relations to date. Its focus on discourse relations that are either lexically-grounded in explicit discourse connectives or associated with sentential adjacency has not only facilitated its use in language technology and psycholinguistics but also has spawned the annotation of comparable corpora in other languages a…
Aravind K. Joshi
It might surprise some young researchers that the first recipient of the ACL LifeTime Achievement award,1 Aravind Joshi, was so often compared to “Yoda,” one of the oldest and most powerful of the Jedi Masters in the Star Wars universe. But Aravind was also one of the kindest, wisest, and most justly celebrated people that one was fortunate to know.When Aravind received the award in 2002, at the age of 73, he said that he hoped his lifetime wasn’…
Kathy McKeown Interviews Bonnie Webber
Because the 2020 ACL Lifetime Achievement Award presentation could not be done in person, we replaced the usual LTA talk with an interview between Professor Kathy McKeown (Columbia University) and the recipient, Bonnie Webber. The following is an edited version of the interview, with added citations
Computer Science (8 works) · Natural Language Processing Techniques (6 works) · Linguistics (5 works) · Natural language processing (5 works) · Artificial Intelligence (4 works) · Language, Metaphor, and Cognition (4 works) · Philosophy (4 works) · Topic Modeling (4 works) · Philosophy (3 works) · Psychology (3 works)